Intelligent book listening method, storage medium, electronic device and vehicle

Abstract

The application discloses an intelligent book listening method, a storage medium, an electronic device and a vehicle, and relates to the technical field of book listening, and in particular to an intelligent book listening method, a storage medium, an electronic device and a vehicle.The intelligent book listening method comprises the following steps: using a preset large language model, processing target book data according to a plot generation link and a target age group, and generating a target book resource package suitable for the target age group, wherein the plot generation link at least comprises one of a character-by-age plot summary, a character-by-age plot analysis, a character-by-age plot tree generation, a character-by-age plot picture generation and a character plot resource integration, and the target age group at least comprises two of children, teenagers, adults and the elderly; and broadcasting according to the target book resource package.The intelligent book listening method can provide a unique book listening experience for users of different age groups according to book content and characteristics of different age groups, and realizes real-time personalized book listening adaptation for all age groups.

Description

Technical Field

[0001] This invention relates to the field of audiobook technology, and more particularly to an intelligent audiobook method and storage medium, electronic device, and vehicle. Background Technology

[0002] While the average daily driving time for most private vehicles is less than one hour, it has shown a slight upward trend due to the increasing demand for self-driving travel. In long-distance self-driving scenarios, the pain points of riding in a car are becoming increasingly prominent: children are easily bored and distracted, while adult passengers (such as commuters and elderly people traveling on long distances) generally have problems with insufficient use of fragmented time and monotonous journeys. These pain points have become the core challenges for family travel and personal commuting.

[0003] Consulting reports show that with the continuous growth of car ownership in China, over 60% of in-car audio users listen for 20 to 40 minutes at a time. Among them, family users are experiencing the fastest growth in demand for in-car entertainment and educational content for children, while adult users (office workers, middle-aged and elderly groups) are also seeing increasing demand for in-car knowledge acquisition, leisure audiobooks, and immersive companionship content. However, traditional in-car audio content can no longer meet the diverse, refined, and personalized needs of all age groups. Summary of the Invention

[0004] This invention aims to at least partially solve one of the technical problems in related technologies. Therefore, one objective of this invention is to propose an intelligent audiobook method that can provide a unique audiobook experience for users of different ages based on the book content and the characteristics of different age groups, achieving real-time personalized audiobook adaptation for all age groups.

[0005] A second objective of this invention is to provide a computer-readable storage medium.

[0006] The third objective of this invention is to provide an electronic device.

[0007] The fourth objective of this invention is to provide a vehicle.

[0008] To achieve the above objectives, a first aspect of the present invention proposes an intelligent audiobook method, the method comprising: using a preset large language model, processing target book data according to a plot generation chain and a target age group, generating a target book resource package adapted to the target age group, wherein the plot generation chain includes at least one of age-specific character plot summaries, age-specific character plot outlines, age-specific character plot tree generation, age-specific character plot image generation, and character plot resource integration, and the target age group includes at least two of children, teenagers, adults, and middle-aged and elderly; and broadcasting the audiobook based on the target book resource package.

[0009] According to the intelligent audiobook method of the present invention, a preset large language model is used to process the target book data according to the plot generation link and the target age group to generate a target book resource package adapted to the target age group. The present invention provides a unique audiobook experience for users of different age groups according to the book content and the characteristics of different age groups, and realizes real-time personalized audiobook adaptation for all age groups.

[0010] In addition, the intelligent audiobook method proposed in the above embodiments of the present invention may also have the following additional technical features: According to an embodiment of the present invention, before processing the target book data based on the plot generation link and the target age group using a preset large language model, the method further includes: querying the target book data from a preset book database using retrieval enhancement generation technology; and inputting the target book data, the target age group, and the plot generation link into the preset large language model.

[0011] According to an embodiment of the present invention, the processing of target book data based on the plot generation link and the target age group includes: parsing the target book data for character plots based on the parsing prompts corresponding to the target age group to obtain age-appropriate character plot summary information; summarizing the plots of the main characters in the age-appropriate character plot summary information based on the summarizing prompts corresponding to the target age group to obtain age-appropriate character plot summaries; mapping the age-appropriate character plot summaries according to the chapter order of the target book data to generate an age-appropriate character plot tree, and generating one of the following adapted to the target age group: an opening narration, interactive information, and an ending supplement based on the chapter content corresponding to each node in the age-appropriate character plot tree; generating age-appropriate character plot images for each node in the age-appropriate character plot tree based on the target age group; and integrating the chapter content, main characters, age-appropriate character plot images, opening narration, interactive information, and ending supplements corresponding to each node in the age-appropriate character plot tree to obtain the target book resource package.

[0012] According to one embodiment of the present invention, generating age-appropriate character story images for each node in the age-appropriate character story tree based on the target age group includes: generating image prompt information based on the target age group; and generating age-appropriate character story images for each node in the age-appropriate character story tree based on the image prompt information and the chapter content of the corresponding node in the age-appropriate character story tree.

[0013] According to an embodiment of the present invention, after integrating the chapter content, main characters, age-appropriate character plot images, opening narration, interactive information, and ending supplements corresponding to each node in the age-appropriate character plot tree, the method further includes: performing an overall verification of the target book resource package, wherein the overall verification content includes at least one of age-appropriate suitability verification, age-appropriate value verification, completeness verification, logical verification, and accuracy verification.

[0014] According to an embodiment of the present invention, the parsing prompt information includes at least one of dividing the narrative into paragraphs, identifying key plot paragraphs, and extracting main characters and themes. Before performing plot analysis on the main characters in the age-appropriate character plot summary information based on the sorting prompt information corresponding to the target age group, the method further includes: performing age-appropriateness verification on the age-appropriate character plot summary information, wherein the age-appropriateness verification includes at least one of content difficulty level, language style, and interaction mode.

[0015] According to an embodiment of the present invention, the sorting prompt information includes at least one of the main character's personality, exclusive props, and core deeds. Before mapping the age-appropriate character plot summary according to the chapter order of the target book data, the method further includes: performing age-appropriate value verification on the age-appropriate character plot summary.

[0016] To achieve the above objectives, a second aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, it implements the intelligent audiobook method as described above.

[0017] To achieve the above objectives, a third aspect of the present invention provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, it implements the intelligent audiobook method as described above.

[0018] To achieve the above objectives, a fourth aspect of the present invention provides a vehicle including the electronic equipment described above.

[0019] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0020] Figure 1 This is a flowchart of an embodiment of the intelligent audiobook listening method of the present invention; Figure 2 This is a flowchart of an intelligent audiobook listening method according to a feasible embodiment of the present invention; Figure 3 This is a flowchart illustrating the generation of a target book resource package according to an embodiment of the present invention; Figure 4 This is a timing flowchart of generating a target book resource package according to a specific embodiment of the present invention; Figure 5 This is a structural block diagram of an electronic device according to an embodiment of the present invention; Figure 6 This is a schematic diagram of a vehicle according to an embodiment of the present invention. Detailed Implementation

[0021] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0022] Mainstream audiobooks often suffer from limited scene adaptation and incomplete age coverage. They either focus on adults' fragmented listening but lack interactivity, or are designed for children but fail to meet the needs of adult users. Moreover, they are mostly simple text readings, lacking personalized processing and scene adaptation for different age groups, and their integration with in-car scenarios is generally low.

[0023] Over two-fifths of people listen to audiobooks for light entertainment or to pass the time. However, due to the linear nature of audiobook transmission, people easily forget what they hear, making it difficult to systematically understand the essence of the original work. Mainstream audiobook technologies fall into three categories: first, audiobook functions within general-purpose intelligent voice assistants (such as Baidu's Xiaodu and Xiao Ai); second, basic audiobook functions built into the cabins of new energy vehicles; and third, audiobook products specifically designed for a single group (children or adults only). All three types of audiobook technologies have significant limitations and cannot address the core pain points of in-car audiobook listening for all ages. These limitations are as follows: The audiobook functions of general-purpose voice assistants like Baidu's Xiaodu and Xiaoai are not customized for in-car scenarios across all age groups. Their content lacks age-appropriateness and interactivity, and their integration with in-vehicle systems is low, failing to meet the needs of scenarios with unstable in-vehicle networks or those that do not rely on visual input. While Xiaodu and Xiaoai offer a wealth of features, they primarily function as independent intelligent voice assistants with relatively low integration with automobiles. Furthermore, they are not deeply optimized for in-car audiobook scenarios across all age groups, often offering only a single mode of adaptation and failing to simultaneously meet the diverse needs of children, adults, and the elderly.

[0024] Most car cockpit audiobook functions are simple text readings or basic audio playback, lacking in-depth processing of content and age-specific personalization. They are insufficient in the depth and breadth of content comprehension and age-appropriate adaptation, failing to provide such accurate and high-quality audiobook content for users of all ages, and failing to solve the problems of "forgetting what you hear" and limited experience for users of different ages.

[0025] Single-user audiobook products only cover children or adults, failing to meet the needs of all age groups traveling together or in groups, resulting in extremely poor adaptability. Furthermore, for children, single-user audiobook products suffer from poor content adaptability, lack of ability to guide thinking, and easy distraction (e.g., when paired with videos). For adults (students, working professionals, and the elderly), there are issues such as severe content homogenization, inability to adapt to fragmented in-car scenarios, lack of personalized knowledge organization and immersive experience, and low integration with new energy vehicle cockpit systems, failing to adapt to the specific needs of in-car environments.

[0026] To address the aforementioned problems, embodiments of the present invention provide an intelligent audiobook listening method, storage medium, electronic device, and vehicle. The intelligent audiobook listening method, storage medium, electronic device, and vehicle of the present invention will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0027] Figure 1 This is a flowchart of an embodiment of the intelligent audiobook listening method of the present invention. Figure 1 As shown, intelligent audiobook listening methods may include: S101: Using a pre-set large language model, the target book data is processed according to the plot generation link and the target age group to generate a target book resource package that is adapted to the target age group. The plot generation link includes at least one of the following: age-specific character plot summary, age-specific character plot outline, age-specific character plot tree generation, age-specific character plot image generation, and character plot resource integration. The target age group includes at least two of the following: children, teenagers, adults, and middle-aged and elderly. S102, broadcasts information based on the target book resource package.

[0028] The Large Language Model (LLM) in this embodiment of the invention can be a self-developed AI model or a non-self-developed large language model, such as ChatGPT or Wenxin Yiyan. When using a non-self-developed large language model, age-appropriate storylines can be generated by calling a third-party AI interface. This embodiment of the invention does not limit the specific large language model used.

[0029] The plot generation chain in this embodiment of the invention is a Chain of Thought (CoT). This plot generation chain includes at least one of the following: summarizing the plot of age-appropriate characters, organizing the plot of age-appropriate characters, generating plot trees for age-appropriate characters, generating plot images for age-appropriate characters, and integrating character plot resources.

[0030] The target age group in the embodiments of the present invention includes at least one of children, adolescents, adults, and middle-aged and elderly people.

[0031] This invention employs an AI-driven story generation chain, enabling the LLM model to generate target book resource packages that are adapted to the target age group based on the story generation chain and the target age group, thereby achieving audiobook content adaptation for all age groups.

[0032] In practice, users can select the audiobook (target book) and the target age group (e.g., children, teenagers, adults, middle-aged and elderly).

[0033] The LLM model processes target book data based on the plot generation chain and the target age group, performing the following steps: Step 1: Age-Segmented Character Plot Summary (The LLM model divides the narrative into segments based on the target age group, identifies key plot segments, extracts main characters and themes, and adapts to the cognitive level of the corresponding age group); Step 2: Age-Segmented Character Plot Outline (The LLM model extracts main characters, exclusive props, and core events based on the target age group and adapts to the values ​​of the corresponding age group); Step 3: Age-Segmented Character Plot Tree Generation (The LLM model generates an age-segmented character plot tree and, based on the target age group, generates introductory narration, interactive information, and concluding supplements for each node in the plot tree, adapting to the values ​​of the corresponding age group); Step 4: Age-Segmented Character Plot Image Generation (The LLM model generates age-segmented character plot images for each node in the plot tree based on the target age group); Step 5: Character Plot Resource Integration (The LLM model integrates the chapter content, main characters, age-segmented character plot images, introductory narration, interactive information, and concluding supplements for each node in the age-segmented character plot tree, generating a JSON resource package that supports voice interaction). The generated target book resource package is stored in a dedicated plot database, and can be retrieved from the plot database for playback.

[0034] The intelligent audiobook method in this embodiment of the invention utilizes a preset large language model to process target book data based on the plot generation link and target age group, generating a target book resource package adapted to the target age group. Based on the book content and the characteristics of different age groups, this embodiment of the invention provides a unique audiobook experience for users of different age groups, achieving real-time personalized audiobook adaptation for all age groups.

[0035] The intelligent audiobook method in this embodiment of the invention can be used in AI-enabled electronic devices integrated into vehicles, and also in cloud platforms that communicate with vehicles. This embodiment of the invention does not specifically limit the application of the intelligent audiobook method. It should be noted that when the intelligent audiobook method is used in AI-enabled electronic devices integrated into vehicles, the preset large language model needs to be lightweighted.

[0036] In one embodiment of the invention, such as Figure 2As shown, before processing the target book data based on the plot generation link and target age group using a preset large language model, the intelligent audiobook method may also include: S201, using search enhancement generation technology, query target book data from a preset book database; S202, input the target book data, target age group and plot generation link into the preset large language model.

[0037] Specifically, users can select audiobooks (target books) on the vehicle's device or their own device (the vehicle's audiobook app). Based on the user's selection, the system uses Retrieval-Augmented Generation (RAG) technology to retrieve the target book's data from a pre-set book database. It should be noted that the pre-set book database stores complete book data (book PDFs / book texts) uploaded by the user.

[0038] The target book data, target age group, and plot generation process are input into the LLM model. The LLM model then processes the target book data based on the plot generation process and target age group to generate a target book resource package adapted to the target age group. It should be noted that sending the complete target book data to the LLM model provides a basis for subsequent age-appropriate plot generation. The LLM model references the received target book data and executes the plot generation process according to the target age group, which can solve the problems of outdated knowledge and fabricated plots in the pre-set large language model.

[0039] When the intelligent audiobook method in this embodiment of the invention is used in the cloud, the preset book database can be a book database that the user has pre-built in the cloud via the vehicle or user terminal. The user can upload complete book data to the pre-built book database so that when the user is listening to an audiobook, the database can be queried and retrieved to provide a basis for subsequent age-appropriate story generation.

[0040] In one embodiment of the invention, such as Figure 3 As shown, processing target book data based on the plot generation process and target age group can include: S301. Based on the parsing prompts corresponding to the target age group, perform character plot analysis on the target book data to obtain age-appropriate character plot summary information.

[0041] In one embodiment of the invention, parsing the prompt information includes at least dividing the narrative into paragraphs, identifying key plot paragraphs, and extracting one of the main characters and themes.

[0042] This invention provides corresponding parsing prompts for different age groups. Specifically, for children, the prompts use simplified language, vivid imagery, and enhanced guidance to divide the narrative into paragraphs, identify key plot points, and extract main characters and themes. For teenagers and adults, the prompts are comprehensive, concise, and rhythmically optimized to divide the narrative into paragraphs, identify key plot points, and extract main characters and themes. For middle-aged and elderly individuals, the prompts are clear and easy-to-understand to divide the narrative into paragraphs, identify key plot points, and extract main characters and themes.

[0043] The parsing prompts corresponding to the target age group in this embodiment of the invention can guide the LLM model to divide the narrative into paragraphs, identify key plot paragraphs, and extract main characters and themes based on the target book data. Specifically, the LLM model divides the narrative into paragraphs, identifies key plot paragraphs, and extracts main characters and themes based on the target book data to obtain character plot summary information. Then, based on the prompts corresponding to the target age group, the character plot summary information is age-appropriate, thus ensuring that the obtained age-appropriate character plot summary information matches the target age group.

[0044] S302, Based on the sorting prompts corresponding to the target age group, sort out the plot of the main characters in the age-specific character plot summary information to obtain the age-specific character plot summary.

[0045] In one embodiment of the invention, the sorting prompt information includes at least one of the main character's personality, exclusive props, and core deeds.

[0046] This invention provides corresponding summarization prompts for different age groups. Specifically, for children, the main character's personality, unique items, and core deeds are extracted from a positive perspective. For teenagers, adults, and middle-aged and elderly, the main character's personality, unique items, and core deeds are extracted from a perspective that aligns with their values, so that the age-specific character story summaries obtained by the LLM model conform to the values ​​of their respective age groups.

[0047] The summarization prompts corresponding to the target age group in this embodiment of the invention can guide the LLM model to summarize the main character's personality, exclusive items, and core deeds based on the age-appropriate character plot summary information. Specifically, the LLM model summarizes the main character's personality, exclusive items, and core deeds based on the age-appropriate character plot summary information, and then performs age-appropriate transformation on the summarized character plot summary based on the prompts corresponding to the target age group, thereby ensuring that the resulting age-appropriate character plot summary fits the target age group.

[0048] The age-based character story summary in this embodiment of the invention includes the age-based character story summary of at least one main character.

[0049] S303: Map the age-appropriate character plot summary according to the chapter order of the target book data, generate an age-appropriate character plot tree, and generate one of the following based on the chapter content corresponding to each node in the age-appropriate character plot tree: opening narration, interactive information, and ending supplement. Specifically, the LLM model can be guided to map age-specific character story summaries based on the chapter order of the target book data. In practice, the LLM model iteratively maps the age-specific character story summaries for each main character, ensuring that the content corresponding to each node in the generated age-specific character story tree follows the chapter order of the target book data, thus preventing the content of each node in the age-specific character story tree from being out of logical order.

[0050] In this embodiment of the invention, after generating the age-appropriate character story tree, the LLM model can be guided to generate opening narration, interactive information, and ending supplements based on the chapter content corresponding to each node in the age-appropriate character story tree, according to the target age group. The generated opening narration, interactive information, and ending supplements are appropriate for the target age group.

[0051] For example, when targeting children, the focus is more on interactive information. Engaging in interactive Q&A sessions with children can prevent boredom or distraction while listening. When targeting adults, the focus is more on concluding remarks, providing a summary at the end. When targeting middle-aged and elderly readers, the focus is also on concluding remarks, which can include a brief review.

[0052] S304, Generate age-appropriate character story images for each node in the age-appropriate character story tree based on the target age group.

[0053] In practice, AI-Generated Content (AIGC) technology can be used to generate age-appropriate character story images for each node in the age-appropriate character story tree based on the target age group and the chapter content of the corresponding node in the age-appropriate character story tree.

[0054] In one specific embodiment, generating age-appropriate character story images for each node in the age-appropriate character story tree based on the target age group may include: Generate image prompts based on the target age group; Based on the image prompts and the chapter content of the corresponding node in the age-appropriate character storyline tree, generate the age-appropriate character storyline image for each node in the age-appropriate character storyline tree.

[0055] In practice, an LLM model can be invoked to generate image prompts (image_prompt) based on the target age group. For example, the image prompt for the children's version is cartoon-style, while the image prompts for the teenagers / adults / middle-aged and elderly versions are in a minimalist scene style.

[0056] Specifically, the LLM model uses AIGC technology to traverse each node of the age-appropriate character storyline tree. Based on the image prompt information image_prompt and the chapter content of the corresponding node in the age-appropriate character storyline tree, it generates age-appropriate character storyline images for each node in the age-appropriate character storyline tree.

[0057] S305 integrates the chapter content, main characters, age-specific character story images, opening narration, interactive information, and ending supplements corresponding to each node in the age-specific character story tree to obtain the target book resource package.

[0058] Specifically, the system retrieves the chapter content, main characters, age-appropriate character images, opening narration, interactive information, and ending supplements corresponding to each node in the age-appropriate character storyline tree. These are then integrated according to the order of the nodes in the age-appropriate character storyline tree to obtain a target book resource package adapted to the target age group. This target book resource package can be stored in a cloud-based storyline database or delivered offline to the vehicle or user's device.

[0059] In one embodiment of the present invention, the target book resource package can be stored in the cloud-based plot database according to age group, and can be accessed by the vehicle terminal and the user terminal according to age group.

[0060] When the intelligent audiobook method in this invention is used in the cloud, it can achieve personalized, safe, and smooth in-vehicle audiobook listening for all ages through a three-terminal (cloud + vehicle + user) collaborative architecture, combined with AI-driven CoT generation link and age-appropriate adaptation technology. This covers the needs of users of different ages, including children, adults, and the elderly, with clear division of labor and smooth interaction among modules, completely overcoming the limitations of mainstream technologies. This invention has the advantages of being practical, replicable, and adaptable to all user scenarios in new energy vehicle cabins.

[0061] In one embodiment of the invention, after integrating the chapter content, main characters, age-appropriate character story images, opening narration, interactive information, and ending supplements corresponding to each node in the age-appropriate character storyline tree, the intelligent audiobook method further includes: The target book resource package shall be validated as a whole. The validation shall include at least one of the following: age-appropriateness validation, age-value validation, completeness validation, logical validation, and accuracy validation.

[0062] Specifically, to ensure the completeness, logical rigor, accuracy, age-appropriateness verification, and age-value compatibility of the target book resources, after integrating the chapter content, main characters, age-appropriate character plot images, opening narration, interactive information, and ending supplements corresponding to each node in the age-appropriate character plot tree, the target book resource package is sequentially verified for age-appropriateness, age-value compatibility, completeness, logic, and accuracy.

[0063] In one embodiment of the invention, before summarizing the plot of the main characters in the age-appropriate plot summary information based on the summarization prompts corresponding to the target age group, the intelligent audiobook method further includes: The age-appropriateness of the plot summary information for age-appropriate characters is verified. The age-appropriateness verification includes at least one of the following: content difficulty level, language style, and interaction mode.

[0064] In this embodiment of the invention, before summarizing the main characters' storylines based on the summary prompts corresponding to the target age group, an LLM model is invoked to perform age-appropriate analysis in conjunction with the target age group.

[0065] Specifically, the LLM model is invoked to verify the age-appropriateness of the extracted age-specific character plot summaries. This involves verifying whether the content difficulty level, language style, and interaction mode of the age-specific character plot summaries are suitable for their respective age groups. If suitable, the plot of the main characters in the age-specific character plot summaries is analyzed. If not suitable, the character plot is re-analyzed based on the parsing prompts corresponding to the target age group, or the process is terminated, to ensure that the age-specific character plot summaries meet the needs of users in the corresponding age group.

[0066] In one embodiment of the invention, before mapping the age-appropriate character plot summaries according to the chapter order of the target book data, the intelligent audiobook method further includes: Age-appropriate value verification was performed on the plot summaries of age-appropriate characters.

[0067] Before mapping the age-appropriate character plot summaries according to the chapter order of the target book data, this embodiment of the invention performs age-appropriate value verification on the age-appropriate character plot summaries.

[0068] Specifically, the LLM model is invoked to perform age-appropriate value verification on the age-appropriate character story summaries, checking whether the generated summaries align with their values, especially the positive values ​​when the target age group is children. If the verification passes, the age-appropriate character story summaries are mapped according to the chapter order of the target book data. If the verification fails, the main characters in the age-appropriate character story summaries are analyzed based on the corresponding prompts for the target age group, or the process is terminated, to ensure that the age-appropriate character story summaries conform to the values ​​of the target age group.

[0069] This invention addresses the technical issues of insufficient accuracy, age-appropriateness, and positive energy orientation in AI content generation. It employs an all-age content age-appropriate verification and adaptation technology (balancing positive orientation and age-specific needs). A triple verification mechanism is established throughout the entire plot generation and content transformation process: First, manually preset age-appropriate adaptation rules are used to verify the content difficulty, language style, speaking speed, and interaction frequency of age-appropriate character plot summaries, ensuring the content is suitable for the cognitive levels and usage habits of children, teenagers, adults, and the elderly. Second, LLM (Lifecycle Management) is used to verify the positive energy of age-appropriate character plot summaries, ensuring that character behavior and ending orientation conform to the values ​​of each age group (especially strengthening positive guidance for children). Third, content accuracy is verified to ensure it does not deviate from the core of the original work and avoids content incompatible with different age groups.

[0070] This invention addresses the pain points of "boredom and monotonous experience" for users of all ages during long-distance travel and daily commutes in new energy vehicles. This invention supports audiobook content adaptation for all age groups. For children, it uses voice-driven interactive narration to ensure non-visual dependence, reducing the risk of distraction while driving, and incorporates positive educational themes (such as friendship and courage). Each chapter's ending guides towards positive values, helping children grow through entertainment. For teenagers and adult users (office workers, students), it provides knowledge summarization, key point extraction, and immersive reading functions, adapting to fragmented commuting scenarios and helping to make efficient use of time. For middle-aged and elderly users, it provides an audiobook experience with adjustable speech speed, simplified content, and adaptation to classic reading materials, meeting their leisure and companionship needs.

[0071] The embodiments of this invention form a closed loop from book input and age group selection to age-appropriate script generation and storage, with each link closely connected to ensure the completeness and accuracy of age-appropriate plot generation.

[0072] The following is a detailed description of the intelligent audiobook method in this invention, using a specific embodiment as an example. (See also...) Figure 4 : Users upload target book data (target book PDF / target book text) via the vehicle-side or user-side (e.g., the JiKe App) and select the target age group (child / teenager / adult / middle-aged / elderly), triggering the age-appropriate storyline generation process. Implementably, a book upload processing module and an age group selection module can be set up for both the vehicle-side and user-side systems. The vehicle-side or user-side system uses the book upload processing module to upload target book data and the age group selection module to determine the target age group. After receiving the user's uploaded target book data and age group selection command, the vehicle-side or user-side system synchronizes the target book data and target age group to the cloud to prepare for subsequent age-appropriate storyline generation. The target book data can be synchronized to a pre-set book database in the cloud.

[0073] The cloud-based LLM model is used to parse the book content, divide it into narrative paragraphs, identify key plot paragraphs, extract main characters and themes, and optimize the description according to the selected age group (simplified and vivid for children, comprehensive and concise for teenagers / adults, and clear and easy to understand for middle-aged and elderly people).

[0074] The cloud-based LLM model identifies main characters based on age-specific plot summary information and organizes their plots. Combining age group requirements, it extracts information such as character traits, exclusive props, and core deeds that align with the values ​​of the corresponding age group, thus obtaining age-specific plot summaries and providing support for the generation of age-specific plot trees.

[0075] The cloud-based LLM model generates age-appropriate character story trees with interactive branches based on age-specific character story summaries and the chapter order of the target book data (the children's version has only one positive-energy path, while the adult / middle-aged / elderly versions can flexibly choose corresponding value branches). For each node of the age-appropriate character story tree, age-appropriate opening narration, interactive information, and ending supplements are generated (children's version has more fun questions, adults have more key confirmations, and middle-aged / elderly versions have less interaction and repetitions). Specifically, the opening narration and ending supplements extract key content based on the chapter content corresponding to each node in the age-appropriate character story tree (children's version focuses on fun plots, adults on key knowledge points, and middle-aged / elderly versions on core plots), improving the age-appropriateness of the content. By generating ending supplements related to the chapter content and appropriate for the corresponding age group at the end of each chapter in the age-appropriate character story tree (interactive Q&A for children to strengthen memory and educational guidance; key summaries for adults to aid knowledge extraction; and concise reviews for middle-aged / elderly versions for easy understanding), the problem of "forgetting what you hear" can be solved for different age groups.

[0076] The cloud-based LLM model generates image prompts (image_prompt) based on the target age group (cartoon illustrations for children, and simplified scene images for teenagers / adults / middle-aged and elderly). This image prompt (image_prompt) serves as the prompt word for the AIGC text-generated image. Based on the image prompt (image_prompt) and the chapter content of the corresponding node in the age-appropriate character storyline tree, the LLM model uses the AIGC text-generated image model to generate images suitable for the selected age group for the core storyline of each node in the age-appropriate character storyline tree.

[0077] Determine if the age-appropriate character story images for the current node have been generated. If not, return to continue or regenerate the age-appropriate character story images for the current node. If completed, check if all nodes in the age-appropriate character story tree have completed the generation of age-appropriate character story images. If not, continue generating age-appropriate character story images for the corresponding nodes in the age-appropriate character story tree. If completed, integrate the chapter content, main characters, age-appropriate character story images, opening narration, interactive information, and ending supplements for each node in the age-appropriate character story tree, and perform age-appropriate compatibility verification, age-appropriate value verification, completeness verification, logical verification, and accuracy verification on the integrated target book resource package.

[0078] The verified target book resource packages are categorized by age group and stored in a complete script database in the cloud, making them available for in-vehicle and user terminals to access according to age group. Once the age-appropriate story script generation process is complete, the in-vehicle terminal can synchronously play resources corresponding to the appropriate age group, and users can begin age-appropriate audiobook interaction.

[0079] The above process sequence details the interaction sequence and data flow between each module, clarifies the collaborative relationship between each link in the cloud, the database module, and the LLM model, and ensures the feasibility of the age-based technology solution.

[0080] The intelligent audiobook method in this invention combines an AI-driven CoT generation link, a multi-terminal collaborative architecture, and deep customization for all age groups, covering the needs of children and other age groups. It can automatically adjust the content difficulty, language style, and interaction method according to the age group selected by the user, achieving real-time personalized audiobook adaptation for all age groups. It is compatible with in-vehicle edge computing and supports offline caching of popular books and age-specific content, solving the problem of unstable network in in-vehicle scenarios and ensuring an uninterrupted audiobook experience.

[0081] The intelligent audiobook method of this invention is designed for users of all ages. It constructs an AI content creation engine that is adapted to all age groups, which is different from single-segment scenarios that are only adapted to children or adults, as well as basic functions such as general entertainment or in-vehicle control. It fills the gap in the field of in-vehicle audiobooks for all age groups in the new energy vehicle cabin. Especially in 2025, when the EV (Electric Vehicle) market emphasizes "intelligent family travel" and "adaptation to all groups", it achieves personalized and scenario-based interaction for different age groups through CoT link, RAG technology and AIGC technology.

[0082] The embodiments of the present invention can also be extended to AR (Augmented Reality) / VR (Virtual Reality) linkage (such as HUD projected images), or integrated with other cockpit functions (such as adjusting the story pace according to road conditions, or automatically switching content modes according to the user's age group).

[0083] It should be noted that when the intelligent audiobook method in this embodiment of the invention is applied to a vehicle, the following three issues need to be addressed: First, the special adaptation to the in-vehicle scenario needs to be resolved, addressing the contradiction between limited edge computing resources and the efficient operation of AI models, ensuring a smooth interactive experience even offline, while adapting to the in-vehicle operating habits of users of different ages; Second, accurate adaptation of content for all age groups needs to be achieved through technical means to convert book content into age-appropriate categories, focusing on education and positive energy for children, knowledge extraction and efficient listening for adults, and simplicity, ease of understanding, and leisure for middle-aged and elderly users, while ensuring that the core of the original work is not deviated from; Third, the stability of multi-terminal collaboration needs to be ensured, achieving real-time data synchronization between the vehicle, cloud, and user terminals (Jik App), ensuring consistency in the operations, interaction records, resource caching, and preference settings of users of different ages.

[0084] This invention addresses the technical problems of "forgettable listening, insufficient value matching, and monotonous experience" by employing an AI-driven interactive story tree generation technology (based on CoT link + LLM model + RAG technology + AIGC technology). The CoT link connects five stages: overall book overview, character analysis, story tree generation, image generation, and resource integration. Combined with LLM, it generates story trees with age-appropriate interactive elements (the children's version has only one positive-energy path, while the adult / middle-aged / elderly versions offer flexible branch selection). Simple, age-appropriate questions and narration are provided for children; key points are extracted and speed is adjusted for adults; and adjustable speech rate and simplified content are provided for middle-aged / elderly users. This transforms users from "passive listeners" to "active participants," reinforcing memorability. Furthermore, all endings in the story tree align with the values ​​of their respective age groups, achieving multi-faceted value for children's education, adults' knowledge acquisition, and middle-aged / elderly leisure, thus solving the problem of insufficient value matching.

[0085] This invention addresses the technical problem of "poor adaptability to in-vehicle scenarios" by employing lightweight AI model technology adapted to in-vehicle edge computing. It optimizes core AI models such as LLM and AIGC text-to-image processing by removing redundant parameters, adapting to edge computing resources in new energy vehicle cabins, and reducing the model's dependence on network and hardware. This ensures that even with unstable networks or offline conditions, content for all age groups can still be generated quickly, providing a smooth audiobook and interactive experience for users of different ages, resolving issues of lag and interruptions, and supporting the rapid generation and switching of content for all age groups.

[0086] This invention addresses the technical issues of "poor adaptability to in-vehicle scenarios and insufficient coverage across all age groups" by employing multi-terminal (cloud + vehicle + user) collaborative resource synchronization and offline caching technology (adapting to data synchronization for users of all ages). It constructs a three-terminal collaborative architecture across the cloud, vehicle, and user (such as the JiKe App), enabling real-time synchronization of book uploads, interaction records, plot progress, image resources, and age-specific preference settings. Simultaneously, it supports offline caching of popular books and age-specific plot resources on the vehicle side, allowing users to pre-cachise content for their respective age groups. This completely resolves the pain point of unstable in-vehicle networks, improves scenario adaptability, and meets the in-vehicle usage needs of users of different ages.

[0087] This invention addresses the technical problems of "forgetting what you hear," lack of personalization, and insufficient coverage across all age groups. It employs RAG's precise book content analysis and age-appropriate conversion technology. Leveraging RAG's enhanced search generation technology, it precisely analyzes uploaded book content, dividing it into narrative paragraphs and key plot points, and extracting core characters and themes. Simultaneously, it uses LLM to transform the book content into formats suitable for different age groups (simplified language and enhanced guidance for children's versions, key points and optimized pacing for adult versions, and clear, easy-to-understand, and slower-paced versions for middle-aged and elderly users). Interactive elements are designed based on the interests and preferences of users of different age groups, achieving personalized and age-appropriate conversion of book content. This helps children grasp the essence of books, adults efficiently acquire knowledge, and middle-aged and elderly users enjoy leisurely audiobook listening, solving the problems of "forgetting what you hear" and insufficient age-appropriateness.

[0088] The intelligent audiobook method in this invention focuses on all age groups and is designed in a tiered manner based on the cognitive level, interests, and usage needs of different age groups. For example, it sets up simple interactive questions for children, provides key points and speed-up listening for adult users, and provides adjustable speech speed and simplified content for middle-aged and elderly users. This can attract the attention of different groups, improve the participation and experience of users of all ages, achieve in-depth customization for all age groups, and cover the needs of multiple groups.

[0089] The intelligent audiobook method in this embodiment of the invention generates complete and age-appropriate personalized scripts through five steps: age-appropriate character plot summary, age-appropriate character plot organization, age-appropriate character plot tree generation, age-appropriate character plot image generation, and character plot resource integration. This embodiment of the invention can accurately divide chapters, adjust content difficulty, and set appropriate interactive elements according to the book content and the characteristics of different age groups, thereby enhancing the sensory experience and providing a unique audiobook experience for users of different ages.

[0090] The intelligent audiobook method in this invention utilizes RAG technology to assist the LLM model in accurately understanding content and adapting it to different age groups. After reading and understanding the entire book, the LLM model can more accurately divide the narrative paragraphs and key plot points within each chapter. Simultaneously, it adapts the content to the needs of different age groups (simplified language and enhanced guidance for children's versions, key points and optimized pacing for adult versions, and clear and easy-to-understand, slower-paced versions for middle-aged and elderly users), ensuring the accuracy, logic, and age-appropriateness of the output.

[0091] The intelligent audiobook listening method in this invention embodiment is deeply integrated with new energy vehicles and is suitable for in-vehicle scenarios of all ages: As a product in the field of new energy vehicle cabins, it is deeply integrated with the vehicle's hardware and systems, and can better utilize the vehicle's various resources and functions, such as automatically adjusting the audiobook listening speed, volume, interaction frequency and other settings and experiences based on factors such as the vehicle's driving status and in-vehicle environment, combined with the user's age group.

[0092] The embodiments of this invention are based on a three-terminal collaborative architecture of "cloud + vehicle + user", with the AI-driven CoT generation link as the core, combined with technologies such as LLM, RAG, AIGC, and edge computing, to realize a closed loop of intelligent audiobook listening for all ages in vehicles, covering the needs of users of different ages such as children, adults, and the elderly.

[0093] Specifically, users upload book data and select the target age group through the vehicle or user terminal (Jik App). The cloud completes AI content generation, age-appropriate adaptation and verification. The vehicle terminal is responsible for local playback, age-appropriate interaction and resource caching, while the user terminal is responsible for auxiliary operation, age-appropriate preference settings and record synchronization. The three terminals work together to achieve a personalized, safe and smooth in-vehicle audiobook experience for all ages. The entire process corresponds to each link in the business process diagram and follows the interaction logic of the business sequence diagram in terms of time sequence.

[0094] In this embodiment of the invention, the cloud platform serves as the core data processing and AI generation center, undertaking core functions such as summarizing age-appropriate character storylines, organizing age-appropriate character storylines, generating age-appropriate character storyline trees, generating age-appropriate character storyline images, integrating character storyline resources, verification, and resource storage.

[0095] In this embodiment of the invention, the cloud platform may include a plot generation and processing module, a book database, a complete script database, an image storage module, a user record module, a verification module, etc.

[0096] The system comprises several modules: **Story Generation and Processing Module (including age-appropriate adaptation):** Corresponding to the five core stages of the CoT generation chain, it sequentially completes the following: overall book overview (age-appropriate key points extraction), character analysis (age-appropriate optimized descriptions), story tree generation (age-appropriate design branches), image generation (age-appropriate style adaptation), and resource integration (age-appropriate interaction adaptation). Utilizing LLM, RAG, and AIGC technologies, it generates and optimizes content for age, making it a core module for AI content creation. **Book Database:** This database stores uploaded book data, providing data support for accurate RAG analysis and ensuring the accuracy of book content parsing. **Complete Script Database (Age-Appropriate Categorization):** This database stores generated complete story trees, interactive information, and image resources categorized by age (children, teenagers, adults, and seniors), allowing users and vehicles to access the data by age. **Image Storage Module (Age-Appropriate Categorization):** This module specifically stores age-appropriate images generated by AIGC (cartoon illustrations for children's versions, and simplified scene images for adult / senior versions), precisely linked to story chapters to enhance the listening experience for all age groups. The user record module (including age-appropriate preferences) stores user interaction records, listening progress, age group preferences, and other data, providing support for age-appropriate personalized recommendations and customized storylines. The verification module is specifically responsible for verifying the age-appropriateness, value judgments, completeness, logic, and accuracy of content across all age groups, ensuring that the content difficulty, language style, and interaction mode are suitable for the corresponding age group.

[0097] In this embodiment of the invention, the vehicle-side module serves as the core display and interactive terminal for in-vehicle scenarios. It is adapted to the cabin environment of new energy vehicles and adds modules such as age group selection and age-based recommendations to realize functions such as age-based audiobook playback, voice interaction, and offline caching.

[0098] In this embodiment of the invention, the vehicle-side module may include a first user book upload and processing module, an age group selection module, a complete story tree display module corresponding to a character, a story tree character switching module, a database read and write module, a user local record module, a book recommendation list module, a story tree chapter playback module, a chapter voice interaction module, a cloud resource synchronization module, and a local script library, etc.

[0099] The system includes several modules: a user book upload module (supporting users to directly upload PDF and text books to the vehicle for processing on the cloud platform); an age group selection module (allowing users to select their target age group (child / teenager / adult / senior) on the vehicle, with the vehicle system automatically matching appropriate age-appropriate content); a character-based complete story tree display module (age-appropriate): displaying a cloud-generated age-appropriate story tree with an optimized interface based on age group, supporting character switching and chapter navigation to suit different age groups' operating habits; a story tree character switching module (age-appropriate): optimizing character switching logic based on different age group needs (simplified operation for children's version, and convenient switching buttons added for adult / senior versions), allowing users to switch between core characters in the story tree to experience different perspectives and enhance interactivity; a database read / write module: responsible for reading age-appropriate resources from the local script library and writing them to the user's local records (including age preferences), achieving data synchronization between the vehicle and the cloud; and a user local record module (including age preferences): storing the user's listening progress, interaction records, and age group preferences on the vehicle, ensuring the age-appropriate listening experience continues even offline. Book Recommendation List Module (Age-Segmented Recommendation): Recommends popular books and personalized scripts for users of different age groups based on their age preferences. Story Tree Chapter Playback Module (Age-Segmented Speech Speed / Rhythm): Responsible for the audio playback of story chapters, supporting automatic adjustment of speech speed and rhythm based on age (slower and more lively for children, moderate and smooth for adults, and slower and clearer for middle-aged and elderly users). It also supports pause, fast forward, and rewind operations, adapting to the operational needs of in-car scenarios. Chapter Audio Interaction Module (Age-Segmented Interaction Mode): Receives user voice commands and adapts the interaction mode according to age group (more fun questions for children, more emphasis on confirmation for adults, less interaction and replays for middle-aged and elderly users), completing operations such as answering interactive questions and selecting storylines, achieving a voice-driven age-segmented interactive experience. Cloud Resource Synchronization Module: Maintains real-time communication with the cloud, synchronizing book resources, age-segmented story scripts, user records, age group preferences, and other data. Local Script Library (Age-Segmented Categorization Caching): Categorizes story scripts and image resources of popular books by age group, supporting offline listening to meet the offline needs of users of different ages.

[0100] The user terminal (Jik App) module in this embodiment of the invention serves as an auxiliary operation terminal, adding modules such as age group preference settings and age-appropriate content collection, enabling functions such as book uploading, age-appropriate preference settings, and sharing of interaction records, and forming collaboration with the vehicle terminal and the cloud.

[0101] The user-end module in this embodiment of the invention may include a second user book upload processing module, an age group preference setting module, an interaction record sharing module, and an age-appropriate content collection module, etc.

[0102] The second user book upload module allows users to upload books on the app and synchronize them to the cloud, making it convenient for users to prepare audiobook resources in advance. The age group preference setting module allows users to set their preferred age groups and age-specific audiobook preferences (such as speaking speed and interaction frequency) on the app and synchronize them to the vehicle and the cloud, achieving a consistent age-specific experience across all devices. The interaction record sharing module allows users to share their interaction records and plot progress during audiobook listening to social platforms, enhancing the product's reach, and also supports synchronization of audiobook progress and age-specific preferences across multiple devices. The age-specific content collection module allows users to collect their favorite books and plots by age group for easy access later.

[0103] The embodiments of this invention adopt a solution path of "closed-loop process + multi-technology integration + age-appropriate adaptation", which addresses various technical issues, covers the needs of children and other age groups, and forms a feasible and replicable technical solution. The specific path is as follows: This invention addresses the technical problems of "distraction and safety" in in-vehicle audiobooks for all ages. Mainstream in-vehicle entertainment methods (such as video playback) rely on vision, easily causing distraction and motion sickness for users of all ages, indirectly affecting driving safety. Traditional audiobooks lack age-appropriate interactivity; children are easily distracted, and adult users easily become fatigued, making it difficult to maintain focused listening for extended periods and failing to meet the non-visual needs of the in-vehicle environment. This invention adopts a "voice-driven + age-appropriate interactive guidance" solution. By generating age-appropriate interactive storylines, it eliminates the need for visual intervention throughout, guiding users of different ages to focus solely on listening through voice interaction (emphasizing fun interactions for children, key reminders for adults, and concise narration for the elderly), reducing the risk of distraction and motion sickness. Simultaneously, deep integration with the in-vehicle system prevents the triggering of visual-related functions during driving, further enhancing driving safety.

[0104] This invention addresses the technical problems of traditional audiobooks, such as "forgetting what you hear" and "insufficient value adaptation." Most mainstream audiobooks are linear text readings, lacking in-depth content processing and age-appropriate guidance. They fail to provide educational value for children, knowledge extraction for adults, and leisure for middle-aged and elderly users, thus failing to meet the core needs of users of different ages and failing to achieve the multi-faceted value of "entertainment + education / knowledge / leisure." This invention adopts a solution of "age-appropriate interactive storylines + in-depth content adaptation," accurately analyzing and adapting book content to all age groups. It generates storylines with appropriate interactive questions and key points for different age groups (children's version emphasizes educational guidance, adult version emphasizes knowledge extraction, and middle-aged and elderly version emphasizes leisure adaptation), strengthening memory for users of all ages. Simultaneously, through age-appropriate verification, it ensures that each chapter incorporates values ​​and core values ​​relevant to the corresponding age group, achieving multi-faceted value transmission.

[0105] To address the issues of "poor adaptability to in-vehicle scenarios and insufficient coverage across all age groups," a solution path of "lightweight adaptation + multi-terminal collaboration + offline caching + age-specific resource management" is adopted. Innovation point 2 optimizes the AI ​​model to be lightweight and adapts it to in-vehicle edge computing. Innovation point 3 achieves resource synchronization across three terminals, supports offline caching of content exclusive to each age group, solves the problems of unstable network and inconsistent experience when switching between multiple terminals, and optimizes the interactive interface of the vehicle and user terminals according to the operating habits of users of different age groups, fully meeting the needs of in-vehicle scenarios for all ages.

[0106] This invention addresses the technical problems of poor adaptability to in-vehicle scenarios and insufficient coverage across all age groups. Most mainstream audiobook products are general-purpose or targeted at a single user group, failing to adapt to the edge computing environment of new energy vehicle cabins. They are prone to lag and interruptions when the network is unstable. Furthermore, they lack deep collaboration with in-vehicle systems and user terminals (Apps), failing to achieve essential functions for in-vehicle scenarios such as multi-device data synchronization and offline caching. They also fail to cater to the usage habits and needs of different age groups, including children, adults, and the elderly. This invention adopts a solution of "precise analysis + age-specific personalized generation." It uses RAG technology to assist the LLM model in analyzing book characteristics, combined with user age groups and interest preferences recorded on the user terminal (App), to generate a story tree from the LLM model. This allows for customized storylines and interactive elements (e.g., animated narration for children's versions, key points highlighted for adult versions, and adjusted speech speed for middle-aged and elderly versions), meeting the personalized needs of users of different ages and interests.

[0107] This invention addresses the technical challenges of accuracy, age-appropriateness, and positive energy guidance in AI-generated content. Mainstream audiobook technologies often suffer from content deviation from the original work, unclear value orientation, and insufficient age-appropriateness during content generation. Furthermore, they lack effective verification mechanisms, failing to ensure content suitability for users of different ages, particularly the positive guidance needed for children and the simplified content required by the elderly. This invention employs a solution of "triple verification + full-process control + age-appropriateness." Through innovation point 4, age-appropriateness verification technology, verification nodes are set at each stage of plot generation and content conversion (corresponding to stages 1 to 5 in the business sequence diagram). Targeted verification is performed to meet the needs of different age groups, ensuring accurate content, positive values, and age-appropriateness, satisfying the usage needs of users of all ages.

[0108] This invention addresses the technical problem of insufficient personalization in audiobooks for all ages: traditional audiobooks have fixed content and cannot generate personalized storylines and interactive elements based on book characteristics, the cognitive level of users of different ages, and their interests and preferences. This makes it difficult to meet the differentiated needs of users of different ages and interests, such as children, teenagers, adults, and the elderly. The interactive storyline generation technology for all ages in this invention adopts a voice-driven, age-appropriate interactive mode, requiring no visual participation. This fundamentally reduces the risk of distraction and motion sickness for users of all ages. It also adapts to the non-visual needs of in-vehicle scenarios, aligns with the usage habits of users of different ages, and further enhances driving safety through deep integration with in-vehicle systems. This results in stronger adaptability and higher safety for all ages.

[0109] This invention provides a dual experience of "entertainment + diverse value" for all ages, addressing the pain point of "forgetting what you hear." Mainstream technologies can only achieve simple text reading, either solely satisfying children's entertainment or adults' leisure needs, failing to deliver diverse values ​​across age groups or help users of all ages grasp the essence of books. This invention, by combining RAG technology and CoT links, generates a storyline tree with age-appropriate interactive guidance and key point review, strengthening the memory of users of all ages. Simultaneously, through age-appropriate verification, it integrates educational value for children, knowledge value for adults, and leisure value for the middle-aged and elderly, allowing users of different ages to fulfill their core needs while enjoying audiobook entertainment. This truly solves the problems of "forgetting what you hear" and insufficient value matching, far exceeding the functional value of existing technologies.

[0110] This invention demonstrates outstanding adaptability to in-vehicle scenarios, providing a smoother experience for all age groups. Mainstream technologies are not adapted to in-vehicle edge computing environments, prone to stuttering and interruptions when the network is unstable, and lack offline caching functionality. Furthermore, they cannot meet the resource needs of users of different ages. This invention, through lightweight model technology, adapts to in-vehicle edge computing, reducing hardware and network dependencies. Simultaneously, through multi-device collaboration and offline caching technology, it achieves data synchronization across three devices and offline listening to age-specific content, completely resolving the pain point of unstable in-vehicle networks. This ensures a smooth audiobook experience for users of all ages and is adapted to the usage scenarios of new energy vehicle cabins for all users—a level of adaptation that existing technologies cannot achieve.

[0111] The embodiments of this invention offer a high degree of personalization, adapting to different age groups and user needs. Existing audiobook technologies offer fixed content, either lacking age-specific adaptation or only providing simple personalization for a single group, failing to accurately customize content based on the cognitive level and interests of users at different ages. This invention uses RAG technology to accurately analyze book content, combined with user age and interest preferences recorded on the user's end, and AI-generated storyline technology to customize exclusive storylines and interactive elements, achieving a personalized experience of "one book, multiple versions; one adaptation for one person," meeting the needs of users of different ages and interests, including children, adults, and the elderly. Existing technologies cannot achieve this kind of personalized generation across all age groups.

[0112] The embodiments of this invention offer greater assurance in terms of content accuracy, age-appropriateness, and positive energy orientation. Mainstream AI content generation technologies lack effective age-appropriate verification mechanisms, easily leading to issues such as content deviating from the original work, unclear value orientation, and insufficient age-appropriateness, failing to meet the usage needs of users of all ages. This invention employs a triple verification mechanism, controlling the entire process of plot generation and content transformation, and performing targeted verification for the needs of different age groups. This ensures that the content accurately aligns with the core of the original work while adhering to a positive energy orientation suitable for each age group, fully meeting the usage needs of users of all ages—one of the core shortcomings of existing technologies.

[0113] In one feasible embodiment, a story generation scheme based on preset age-appropriate templates is adopted. Specifically, multiple age-appropriate audiobook story templates are preset (categorized by children, adults, and middle-aged and elderly, with each age group containing multiple theme templates). After the user uploads a book and selects an age group, the core theme and characters of the book are extracted, and the character information is embedded into the preset template corresponding to the age group to generate a fixed age-appropriate story. This eliminates the need for real-time AI generation and achieves age-appropriate personalization simply by replacing templates.

[0114] This story generation solution, based on preset age-appropriate templates, addresses the issues of "easily distracted and unsafe" by generating interactive voice-based storylines. The templates incorporate corresponding value orientations (children's education, adult knowledge, and leisure for middle-aged and elderly) according to age groups, resolving the problem of "insufficient value matching." It eliminates the need for complex AI models and is compatible with in-vehicle edge computing, addressing the issue of "poor adaptability to in-vehicle scenarios." Users can select corresponding templates based on book themes and age groups, achieving basic age-appropriate personalization and addressing the issues of "insufficient personalization and inadequate coverage of all age groups." The templates undergo pre-processing age-appropriate verification by humans, addressing the issues of "insufficient accuracy of AI content, age-appropriateness, and positive energy orientation."

[0115] The advantages of this plot generation scheme based on preset age-appropriate templates are low technical complexity, low implementation cost, no need for high-performance AI models and large computing power support, and short development cycle. The disadvantages are low degree of age-appropriate personalization, fixed templates, inability to accurately customize according to the specific content of the book and the interests and preferences of users of different age groups, poor plot flexibility, and inability to achieve a personalized experience for all age groups with "one book, multiple versions, one fit for one person". The age-appropriate adaptation accuracy is far less flexible and accurate than the AI ​​real-time age-appropriate generation scheme in the embodiments of this invention, resulting in a poor user experience.

[0116] In one feasible embodiment, an AI age-appropriate generation scheme based on centralized cloud processing can be adopted. That is, the AI ​​processing capabilities of the vehicle are eliminated, and all AI age-appropriate content generation (plot tree generation, image generation, age-appropriate verification, etc.) is completed in the cloud. The vehicle is only responsible for receiving the complete age-appropriate script from the cloud, realizing age-appropriate playback and voice interaction functions. It does not have offline caching and local data processing capabilities, and multi-terminal collaboration only realizes simple progress synchronization and age group preference synchronization.

[0117] The solution employs an AI-based age-appropriate generation method with centralized cloud processing: the cloud generates age-appropriate voice-interactive storylines, addressing the issues of "easily distracted and unsafe"; the cloud uses AI age-appropriate verification to ensure positive energy orientation and age-appropriateness, addressing the issues of "insufficient value matching" and "insufficient accuracy and age-appropriateness of AI content"; the cloud-based AI model can achieve accurate analysis and age-appropriate personalized generation, addressing the issues of "insufficient personalization and insufficient coverage of all age groups"; the technical solution is simple and can be quickly implemented.

[0118] The advantages of this cloud-based centralized AI age-classification generation solution are low development difficulty on the vehicle side, no need for lightweight optimization of the AI ​​model, and reduced hardware requirements on the vehicle side; the disadvantages are poor adaptability to in-vehicle scenarios, complete reliance on the network, and the occurrence of lag and interruption when the network is unstable, making it impossible to listen to age-classified content offline, and weak multi-terminal collaboration capabilities, with unsmooth synchronization of user age-classification preference settings and interaction records, and the user experience is greatly affected by the network environment. It is far inferior to the edge computing adaptation + offline caching + full-terminal age-classification synchronization solution of this invention, and cannot meet the core needs of in-vehicle scenarios for all ages.

[0119] In one feasible embodiment, an age-appropriate story generation scheme based on a third-party AI interface can be adopted. Specifically, instead of developing its own AI models (LLM, AIGC, RAG), the system integrates third-party AI interfaces (such as ChatGPT, Wenxin Yiyan, etc.) to achieve functions such as book parsing, age-appropriate story generation, and age-appropriate image generation by calling these third-party interfaces. The system independently develops a three-terminal collaborative architecture, age-appropriate verification logic, and interaction logic to realize in-vehicle audiobook functionality for all age groups.

[0120] This age-appropriate story generation solution based on a third-party AI interface addresses the core technical challenges proposed in this invention, specifically as follows: It generates age-appropriate interactive storylines through a third-party AI interface, resolving issues such as "easily distracting and unsafe," "insufficient value matching," and "lack of personalization and comprehensive age coverage"; it utilizes a self-developed age-appropriate verification logic, combined with content from the third-party interface, to address the issues of "insufficient accuracy, age-appropriateness, and positive energy guidance in AI content"; and its self-developed three-terminal collaborative architecture is adaptable to in-vehicle scenarios, resolving the issue of "poor adaptability to in-vehicle scenarios."

[0121] The advantages of this age-appropriate story generation solution based on a third-party AI interface are its short development cycle, eliminating the need for significant investment in developing AI models and age-appropriate algorithms, and enabling rapid implementation of core functions. The disadvantages are high cost; long-term reliance on third-party AI interfaces incurs substantial interface fees, and interface response speed is affected by third-party services, making it impossible to independently optimize age-appropriate accuracy. Furthermore, third-party AI interfaces are not customized for in-vehicle audiobook scenarios for all ages, resulting in lower accuracy, content fit, and interactive flexibility compared to self-developed AI age-appropriate models. Additionally, data security cannot be fully guaranteed (user book data, age preferences, and interaction records must be transmitted to a third-party server). In contrast, self-developed AI models and age-appropriate algorithms allow for local data storage and offer higher security.

[0122] The intelligent audiobook method in this embodiment of the invention realizes AI interactive story tree generation oriented to all age groups, vehicle edge computing adaptation, multi-terminal collaboration, and age verification. It takes into account all age group adaptation, personalization, scene adaptability, user experience, and cost control, and has significant advantages in terms of technological advancement, age adaptation accuracy, experience effect, and security.

[0123] This invention provides a computer-readable storage medium.

[0124] In this embodiment, a computer program is stored on a computer-readable storage medium, and when the computer program is executed by a processor, it implements the intelligent audiobook method described above.

[0125] This invention provides an electronic device.

[0126] In this embodiment, the electronic device may include a memory and a processor. The memory stores a computer program, and when the computer program is executed by the processor, it implements the intelligent audiobook method described above.

[0127] Figure 5 This is a structural block diagram of an electronic device according to an embodiment of the present invention.

[0128] like Figure 5As shown, the electronic device 500 includes a processor 501 and a memory 503. The processor 501 and the memory 503 are connected, for example, via a bus 502. Optionally, the electronic device 500 may also include a transceiver 504. It should be noted that in practical applications, the transceiver 504 is not limited to one type, and the structure of this electronic device 500 does not constitute a limitation on the embodiments of the present invention.

[0129] Processor 501 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this invention. Processor 501 may also be a combination that implements computational functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0130] Bus 502 may include a pathway for transmitting information between the aforementioned components. Bus 502 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Bus 502 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 5 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0131] The memory 503 is used to store a computer program corresponding to the intelligent audiobook method of the above embodiments of the present invention. The computer program is controlled and executed by the processor 501. The processor 501 is used to execute the computer program stored in the memory 503 to implement the content shown in the foregoing method embodiments.

[0132] Among them, electronic devices 500 include, but are not limited to: mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and in-vehicle terminals (such as in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Figure 5The electronic device 500 shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.

[0133] The computer-readable storage medium and electronic device in the embodiments of the present invention, based on the above-mentioned intelligent audiobook method, provide a unique audiobook experience for users of different ages according to the content of the book and the characteristics of different age groups, and realize real-time personalized audiobook adaptation for all age groups.

[0134] This invention provides a vehicle Figure 6 This is a schematic diagram of a vehicle according to an embodiment of the present invention. Figure 6 As shown, vehicle 1000 includes electronic equipment 500 as described above.

[0135] The vehicle in this embodiment of the invention provides a unique audiobook experience for users of different ages based on the content of the book and the characteristics of different age groups, achieving real-time personalized audiobook adaptation for all age groups.

[0136] It should be noted that the logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0137] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0138] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0139] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," and "circumferential" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0140] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0141] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components, unless otherwise explicitly limited. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0142] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can mean that the first feature is in direct contact with the second feature, or that the first feature is in indirect contact with the second feature through an intermediate medium. Furthermore, "above," "over," and "on top" of the second feature can mean that the first feature is directly above or diagonally above the second feature, or simply that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature can mean that the first feature is directly below or diagonally below the second feature, or simply that the first feature is at a lower horizontal level than the second feature.

[0143] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A smart audiobook listening method, characterized in that, The method includes: Using a pre-defined large language model, the target book data is processed according to the plot generation link and the target age group to generate a target book resource package adapted to the target age group. The plot generation link includes at least one of the following: age-specific character plot summary, age-specific character plot organization, age-specific character plot tree generation, age-specific character plot image generation, and character plot resource integration. The target age group includes at least two of the following: children, teenagers, adults, and middle-aged and elderly. The broadcast will be based on the target book resource package.

2. The intelligent audiobook listening method according to claim 1, characterized in that, Before processing the target book data based on the plot generation chain and target age group using a preset large language model, the method further includes: Using search-enhanced generation technology, the target book data is retrieved from a preset book database; The target book data, the target age group, and the plot generation chain are input into the preset large language model.

3. The intelligent audiobook listening method according to claim 1 or 2, characterized in that, The process of processing target book data based on the plot generation chain and target age group includes: Based on the parsing prompts corresponding to the target age group, the target book data is parsed for character plots to obtain age-specific character plot summaries. Based on the sorting prompts corresponding to the target age group, the main characters in the age-specific character plot summary information are sorted out to obtain the age-specific character plot summary. Map the age-appropriate character plot summary according to the chapter order of the target book data to generate an age-appropriate character plot tree, and generate one of the following based on the chapter content corresponding to each node in the age-appropriate character plot tree: opening narration, interactive information, and ending supplement that are suitable for the target age group. Generate age-appropriate character story images for each node in the age-appropriate character story tree based on the target age group; The chapter content, main characters, age-specific character story images, opening narration, interactive information, and ending supplements corresponding to each node in the age-specific character storyline tree are integrated to obtain the target book resource package.

4. The intelligent audiobook listening method according to claim 3, characterized in that, The step of generating age-appropriate character story images for each node in the age-appropriate character story tree based on the target age group includes: Generate image prompts based on the target age group; Based on the image prompts and the chapter content of the corresponding node in the age-appropriate character storyline tree, an age-appropriate character storyline image is generated for each node in the age-appropriate character storyline tree.

5. The intelligent audiobook listening method according to claim 3, characterized in that, After integrating the chapter content, main characters, age-specific character story images, opening narration, interactive information, and ending supplements corresponding to each node in the age-specific character storyline tree, the method further includes: The target book resource package is subjected to overall verification, wherein the overall verification content includes at least one of the following: age-appropriateness verification, age-value verification, completeness verification, logical verification, and accuracy verification.

6. The intelligent audiobook listening method according to claim 3, characterized in that, The parsing prompts include at least one of the following: dividing the narrative into paragraphs, identifying key plot paragraphs, and extracting main characters and themes. Before performing plot analysis on the main characters in the age-group character plot summary information based on the analysis prompts corresponding to the target age group, the method further includes: The age-appropriateness of the age-appropriate character plot summary information is verified, wherein the age-appropriateness verification includes at least one of the following: content difficulty level, language style, and interaction mode.

7. The intelligent audiobook listening method according to claim 3, characterized in that, The sorting and prompting information includes at least one of the following: main character personality, exclusive props, and core deeds. Before mapping the age-specific character plot summaries according to the chapter order of the target book data, the method further includes: The age-appropriate character story summaries are then validated for age-appropriate values.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the intelligent audiobook method as described in any one of claims 1-7.

9. An electronic device, comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the computer program is executed by the processor, it implements the intelligent audiobook method as described in any one of claims 1-7.

10. A vehicle, characterized in that, Including the electronic device as described in claim 9.

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