Intelligent slide speech function implementation method based on LLM and TTS technologies

Abstract

The invention discloses an intelligent slide speech function implementation method based on LLM and TTS technologies, and aims to solve the problems of low content generation efficiency, limited speech synthesis effect, insufficient interactivity and limitation of multi-modal fusion of the existing slide speech. According to the method, semantic analysis and structured processing are carried out on an input text through a large language model (LLM), an outline and specific content of a slide are automatically generated, and the content generation efficiency is remarkably improved; text content is converted into natural and smooth speech with emotional expression through a speech synthesis technology (TTS), and the problem that the speech synthesis effect is limited is solved; a real-time interaction system is constructed, audiences are supported to interact with the slide content in real time through links or interfaces, including questioning, solution obtaining and dynamic content adjustment, and the interactivity and the real-time performance of speech are enhanced; a multi-modal fusion mechanism is designed, various media forms such as characters, voices, images and videos are integrated, and the visual attraction and immersion of speech are improved.

Description

Technical Field

[0001] The present invention provides a slide presentation method, belonging to the technical field of LLM and TTS technologies, and particularly relates to a method for realizing the intelligent presentation function of slides based on LLM and TTS technologies. Background Art

[0002] A slide is a visual tool presented in digital or traditional film form, usually consisting of a series of static or dynamic images, texts, charts, and multimedia elements, used to display information, tell stories, or convey viewpoints. The significance of slide presentations lies in helping speakers more clearly and intuitively convey complex information through visual expressions, attracting the attention of the audience and enhancing their understanding. At the same time, with the structured slide content, speakers can organize their thoughts more systematically, ensuring the logic and coherence of information transmission. In addition, slides can visualize abstract concepts through elements such as charts, pictures, and animations, making it easier for the audience to remember key points, thereby enhancing the effect and influence of the presentation.

[0003] Traditional slide presentations require manual writing of content, which is time-consuming and may not be accurate or personalized enough. If traditional slide presentations need to be dubbed, it usually requires professional personnel to record, with high costs and a long production cycle. Slide presentations are usually one-way information transmission, and the audience cannot interact with the content in real time during the presentation. While LLM and TTS technologies can achieve more flexible interaction methods, such as real-time Q&A and dynamically adjusting content according to audience feedback.

[0004] Producing high-quality slides requires certain design skills and time investment. Although there are some templates available, additional efforts are still needed to achieve personalized and professional visual effects. Combining LLM with design tools can generate visual elements more intelligently, improving design efficiency and quality. Slide presentations usually mainly consist of static pictures and texts, lacking dynamic interaction and multimedia integration. Summary of the Invention

[0005] Embodiments of the present application, in order to make up for the deficiencies of the prior art, provide a method for realizing the intelligent presentation function of slides based on LLM and TTS technologies, which solves the problems of low content generation efficiency, limited speech synthesis effect, lack of interactivity, and limitations in multimodal fusion, greatly improves the content generation efficiency, generates natural and fluent voiceovers, supports real-time interaction and dynamic adjustment, integrates multimodal elements such as text, voice, and images, and significantly enhances the attractiveness and information transmission effect of the presentation.

[0006] To solve the above technical problems, the present invention provides the following technical solution: A method for realizing the intelligent presentation function of slides based on LLM and TTS technologies, comprising the following steps:

[0007] Semantically analyze and structurally process the input text content using a large language model (LLM), and automatically generate the outline and specific content of the slides;

[0008] Convert the generated text content into a voiceover with naturalness and emotional expression through text-to-speech technology (TTS);

[0009] Among them, provide a "full reading" mode, and directly and automatically read the entire content of the PPT through TTS technology;

[0010] Provide a "page-by-page reading" mode, allowing users to choose to read the slide content page by page, and set reading function options on each slide. Users can trigger the page-by-page reading function by clicking a button or voice command.

[0011] Build a real-time interaction system that allows the audience to interact with the slide content in real time through links or interfaces, including asking questions, getting answers, and dynamic content adjustment;

[0012] Design a multimodal fusion mechanism to integrate various media forms such as text, voice, images, and videos into the slides to enhance the attractiveness of the speech and the information transmission effect.

[0013] Preferably: The LLM model includes but is not limited to pre-trained large language models such as GPT-4o and LLAMA-3, which are used to realize the automatic generation, optimization, and personalized adjustment of the slide content.

[0014] Preferably: The TTS technology includes but is not limited to deep learning-based text-to-speech technologies such as Tacotron and WaveNet, which are used to generate natural and smooth voiceovers with emotional expression.

[0015] Preferably: The real-time interaction system includes the following modules:

[0016] Question and answer module: Support the audience to ask questions in natural language, and the AI digital human analyzes the questions in real time and provides answers;

[0017] Link sharing module: Generate an interactive link, and the audience accesses the interactive web page through a browser;

[0018] Dynamic content adjustment module: Adjust the slide content or speech rhythm in real time according to the audience's feedback.

[0019] Preferably: The multimodal fusion mechanism includes the following functions:

[0020] Image generation module: Automatically generate relevant images or charts based on the input text;

[0021] Video embedding module: Support the embedding and playing of dynamic video content;

[0022] Animation effect module: Adds dynamic transitions and animation effects to slide elements to enhance visual appeal.

[0023] Preferably: It also includes the steps of slide clustering and content pattern extraction. The slides are divided into structural slides and content slides through hierarchical clustering algorithms, and diverse content patterns are extracted to guide the generation and optimization of slides.

[0024] Preferably: It also includes an iterative optimization process. By iteratively editing the slide content multiple times, the slide quality is optimized in terms of color, spacing, font, etc. to improve the speech effect.

[0025] Preferably: It also includes design assistance functions and extensive customization options, supporting users to customize templates, color schemes, and animation effects, ensuring that the presentation is both professional and attractive.

[0026] Preferably: It also includes an end-to-end text-to-speech or speech-to-speech interaction method. Users do not need to pay attention to complex technical details and can directly complete the slide speech through natural language interaction.

[0027] Preferably: It also includes building a benchmark testing platform for evaluating and testing the performance and effects of the slide intelligent speech function, including content generation quality, speech naturalness, interaction response speed, and multi-modal fusion effects, to ensure that it meets the expected quality standards.

[0028] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0029] This device combines a large language model (LLM) and text-to-speech technology (TTS), uses a pre-trained LLM model to automatically generate slide content, significantly improving content generation efficiency; generates natural and fluent voiceovers with emotional expressions through advanced TTS technology, solving the problem of limited speech synthesis effects; builds a real-time interaction system to support the audience to interact with the slide content in real time through links or interfaces, including asking questions and dynamic content adjustment, enhancing the interactivity and real-time nature of the speech; designs a multi-modal fusion mechanism to integrate various media forms such as text, speech, images, and videos, enhancing visual appeal and immersion; at the same time, through slide clustering, content pattern extraction, and iterative optimization processes, automatically optimizes design elements such as the layout, color, and spacing of slides, solving the limitations of design and visual effects, and ultimately significantly enhancing the appeal of the speech and the information transmission effect.

[0030] Other advantages, objectives, and features of the present invention will be described to some extent in the subsequent specification, and to some extent, will be obvious to those skilled in the art based on the study of the following text, or can be taught from the practice of the present invention. Brief Description of the Drawings

[0031] Figure 1 This is the system architecture diagram of a method for implementing the intelligent presentation function of slides based on LLM and TTS technologies according to the present invention;

[0032] Figure 2 This is the flowchart of a method for implementing the intelligent presentation function of slides based on LLM and TTS technologies according to the present invention;

[0033] Figure 3 This is the interaction interface diagram of a method for implementing the intelligent presentation function of slides based on LLM and TTS technologies according to the present invention;

[0034] Figure 4 This is the data processing flowchart of a method for implementing the intelligent presentation function of slides based on LLM and TTS technologies according to the present invention. Detailed Embodiments

[0035] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0036] It should be noted that the terms "vertical", "horizontal", "upper", "lower", "left", "right" and similar expressions used herein are for illustrative purposes only and do not represent the only implementation manner.

[0037] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs; the terms used in the description of the present invention in this specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention; the term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0038] As Figure 1 and Figure 2 shown, a method for implementing the intelligent presentation function of slides based on LLM and TTS technologies includes the following steps:

[0039] A. Use a large language model (LLM) to perform semantic analysis and structured processing on the input text content, and automatically generate the outline and specific content of the slides;

[0040] B. Convert the generated text content into a voiceover with naturalness and emotional expression through text-to-speech technology (TTS);

[0041] C. Build a real-time interaction system that allows the audience to interact with the slide content in real time through links or interfaces, including asking questions, getting answers, and dynamically adjusting the content;

[0042] D. Design a multi-modal fusion mechanism to integrate various media forms such as text, speech, images, and videos into the slides to enhance the attractiveness of the presentation and the information transmission effect.

[0043] Furthermore, it also includes steps of slide clustering and content pattern extraction. The slides are divided into structural slides and content slides through hierarchical clustering algorithms, and diverse content patterns are extracted to guide the generation and optimization of the slides.

[0044] Furthermore, it also includes designing auxiliary functions and a wide range of customization options to support users in customizing templates, color schemes, and animation effects, ensuring that the presentation is both professional and attractive.

[0045] Furthermore, it also includes an end-to-end text-to-speech or speech-to-speech interaction method. Users do not need to pay attention to complex technical details and can directly complete the slide presentation through natural language interaction.

[0046] Furthermore, it also includes building a benchmark testing platform to evaluate and test the performance and effects of the intelligent slide presentation function, including content generation quality, speech naturalness, interaction response speed, and multi-modal fusion effects, to ensure that it meets the expected quality standards.

[0047] In this implementation plan, the large language model (LLM) is closely integrated with the text-to-speech technology (TTS), and data interaction is achieved through the API interface to ensure seamless connection between content generation and text-to-speech synthesis. The real-time interaction system is deployed through a cloud server and connected to the audience's devices (such as mobile phones, tablets) through the HTTPS protocol to ensure the security and real-time nature of data transmission. The multi-modal fusion mechanism is integrated with the slide editor through an image generator (such as DALL-E) and a video embedding module to achieve intelligent layout and display of media elements. The slide clustering and content pattern extraction module works in collaboration with the LLM model through hierarchical clustering algorithms to optimize the logical structure and content presentation of the slides. The design auxiliary functions and customization options are integrated with the main system through the user interface (UI) to provide interactive functions such as template selection, color adjustment, and animation setting. The end-to-end interaction method achieves real-time text-to-speech conversion through a natural language processing module to ensure the simplicity of user operations. The benchmark testing platform is connected to each functional module through performance monitoring tools to regularly evaluate the system performance and generate test reports.

[0048] From the implementation points, this solution achieves the efficient cooperation of each functional component through modular design, significantly improving the efficiency of slide content generation and the quality of presentations. In terms of innovation, this solution combines the semantic understanding of LLM and the emotional expression of TTS to solve the problems of low efficiency in generating traditional slide presentation content and limited voice synthesis effects; through the real-time interaction system and multi-modal fusion mechanism, it enhances the interactivity and visual appeal of the presentation; through slide clustering and iterative optimization processes, it improves the professionalism and personalization level of the design. The combination of these components not only improves the preparation efficiency of the presentation but also significantly enhances the attractiveness and information transmission effect of the presentation, providing users with an intelligent presentation solution that is convenient for actual operation and has excellent presentation effects.

[0049] As Figure 3 and Figure 4 shown, the LLM model includes but is not limited to pre-trained large language models such as GPT-4o and LLAMA-3, which are used to achieve the automated generation, optimization, and personalized adjustment of slide content. The TTS technology includes but is not limited to deep learning-based speech synthesis technologies such as Tacotron and WaveNet, which are used to generate natural and smooth voiceovers with emotional expressions.

[0050] The real-time interaction system includes the following modules:

[0051] Question and answer module: Supports the audience to ask questions through natural language, and the AI digital human analyzes the questions in real time and provides answers;

[0052] Link sharing module: Generates interactive links, and the audience accesses the interactive web page through a browser;

[0053] Dynamic content adjustment module: Adjusts the slide content or presentation rhythm in real time according to the audience's feedback.

[0054] The multi-modal fusion mechanism includes the following functions:

[0055] Image generation module: Automatically generates relevant images or charts based on the input text;

[0056] Video embedding module: Supports the embedding and playback of dynamic video content;

[0057] Animation effect module: Adds dynamic transitions and animation effects to slide elements to enhance visual appeal.

[0058] Based on the above implementation solutions, it should be particularly noted that:

[0059] 1. Automated content generation based on LLM

[0060] Use large language models (such as GPT-4o) to perform semantic analysis and structured processing on the input text, and automatically generate the outline and specific content of the slides. Compared with the traditional manual writing of content, this method significantly improves the efficiency and content quality.

[0061] Through a pre-trained LLM model (such as GPT-4o or LLAMA-3), combined with the theme and key points input by the user, generate logically clear and structured slide content.

[0062] 2. Natural speech synthesis based on TTS

[0063] Adopt advanced speech synthesis technology (such as LlasaTTS) to convert the text content into natural and fluent voice narration with emotional expression. Compared with traditional mechanical speech synthesis, this technology significantly improves the naturalness and emotional expression of the voice.

[0064] LlasaTTS is based on the Transformer architecture, supports the extraction and reconstruction of semantic and acoustic features, and can generate high-quality voice narration.

[0065] 3. Real-time interaction system

[0066] Build a Q&A module and a link sharing module to support the audience to ask questions in natural language, and the AI digital human analyzes the questions in real time and provides answers. In addition, the system can dynamically adjust the slide content according to the audience's feedback, improving the interactivity and flexibility of the speech.

[0067] Through real-time data source synchronization and dynamic content adjustment, ensure that the speech content highly matches the audience's needs.

[0068] 4. Multimodal fusion mechanism

[0069] Integrate various media forms such as text, voice, images, and videos, and optimize the layout and display order through intelligent algorithms to enhance the audience's immersion and information absorption efficiency.

[0070] Use image generators such as DALL-E to quickly create images related to the theme, combined with AI-optimized animation effects and transition effects to enhance the visual appeal of the slides.

[0071] 5. Slide clustering and pattern extraction

[0072] Divide the slides into structural slides and content slides through a hierarchical clustering algorithm, and extract diverse content patterns to guide the generation and optimization of the slides.

[0073] Combine the theme and content input by the user to intelligently recommend the layout and content patterns of the slides to ensure the logic and aesthetics of the slides.

[0074] In the above embodiments, further, the models and quantization parameters of the devices or programs are as follows:

[0075] 1. LLM model

[0076] Models: GPT-4o, LLAMA-3, etc.

[0077] Quantization parameters:

[0078] Model parameter scale: GPT-4o has approximately 175 billion parameters, and LLAMA-3 has approximately 65 billion parameters.

[0079] Inference speed: When running on consumer-grade hardware, GPT-4o can reduce the computational overhead through quantization techniques (such as INT8), and the inference speed is increased by approximately 20%-30%.

[0080] 2. TTS technology

[0081] Model: LlasaTTS.

[0082] Quantization parameters:

[0083] Model scale: 1B, 3B, 8B parameters.

[0084] Speech generation speed: Based on the autoregressive generation method, approximately 200 speech tokens are generated per second, and the speech rate is close to natural human speech.

[0085] 3. Slide generation tool

[0086] Models: SlideAI, AdobeProjectSlideWow.

[0087] Quantization parameters:

[0088] Content generation time: SlideAI can complete the generation of slide content within a few minutes, with an efficiency increase of approximately 35%.

[0089] Slide optimization: AdobeProjectSlideWow supports real-time data source synchronization to ensure the up-to-dateness and accuracy of the displayed content.

[0090] In one or more feasible embodiments, the specific embodiments and formulas

[0091] 1. LLM content generation

[0092] The user inputs "Applications of Artificial Intelligence in Education", and GPT-4o generates slide content including an outline, key points, and logical structure.

[0093]

[0094] 2. TTS speech synthesis

[0095] LlasaTTS converts the generated slide content into natural and fluent voice narration, supporting intonation adjustment and emotional expression.

[0096]

[0097] 3. Real-time interaction system

[0098] The audience accesses the interactive web page through the link, and the AI digital human analyzes the questions in real time and provides answers. For example, in a business presentation, when the audience asks "how to improve market share", the AI digital human provides optimization suggestions based on the slide content.

[0099] 4. Multimodal fusion mechanism

[0100] DALL-E generates relevant images according to the input text, and the AI optimizes the animation effect to enhance the visual appeal of the slides.

[0101]

[0102] Although the present invention has been disclosed above with preferred embodiments, it is not intended to limit the present invention. Anyone familiar with this technology can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the protection scope of the present invention should be defined by the claims.

Claims

1. A method for implementing the intelligent speech function of slides based on LLM and TTS technologies, characterized in that, It includes the following steps: A. Use a large language model (LLM) to perform semantic analysis and structured processing on the input text content, and automatically generate the outline and specific content of the slides; B. Convert the generated text content into a voiceover with naturalness and emotional expression through text-to-speech technology (TTS); Among them, a "full reading" mode is provided, and the entire content of the PPT is directly and automatically read through TTS technology; A "page-by-page reading" mode is provided, allowing users to select to read the slide content page by page, and reading function options are set on each slide. Users can trigger the page-by-page reading function by clicking a button or giving a voice command. C. Build a real-time interaction system that allows the audience to interact with the slide content in real time through links or interfaces, including asking questions, obtaining answers, and dynamic content adjustment.

2. The method for realizing the intelligent speech function of slides based on LLM and TTS technologies according to claim 1, characterized in that: The LLM model includes, but is not limited to, pre-trained large language models such as GPT-4o and LLAMA-3, which are used to achieve the automated generation, optimization, and personalized adjustment of slide content.

3. A method for implementing the intelligent speech function of slides based on LLM and TTS technologies according to claim 1, characterized in that: The TTS technology includes, but is not limited to, text-to-speech technologies based on deep learning, such as Tacotron and WaveNet, which are used to generate natural and smooth voiceovers with emotional expression.

4. A method for implementing the intelligent speech function of slides based on LLM and TTS technologies according to claim 1, characterized in that: The real-time interaction system includes the following modules: Question and answer module: Support the audience to ask questions in natural language, and the AI digital human analyzes the questions in real time and provides answers; Link sharing module: Generate an interactive link, and the audience accesses the interactive web page through a browser; Dynamic content adjustment module: Adjust the slide content or speech rhythm in real time according to the audience's feedback.

5. A method for realizing the intelligent speech function of slides based on LLM and TTS technologies according to claim 1, characterized in that: It also includes designing a multimodal fusion mechanism to integrate various media forms such as text, voice, images, and videos into the slides to enhance the attractiveness of the speech and the information transmission effect. The multimodal fusion mechanism includes the following functions: Image generation module: Automatically generate relevant images or charts based on the input text; Video embedding module: Support the embedding and playback of dynamic video content; Animation effect module: Add dynamic transitions and animation effects to slide elements to enhance visual attractiveness.

6. The method for implementing the intelligent speech function of slides based on LLM and TTS technologies according to claim 1, characterized in that: It also includes the steps of slide clustering and content pattern extraction. The slides are divided into structural slides and content slides through a hierarchical clustering algorithm, and diverse content patterns are extracted to guide the generation and optimization of the slides.

7. The method for realizing the intelligent speech function of slides based on LLM and TTS technologies according to claim 1, characterized in that: It also includes an iterative optimization process. The slide content is iteratively edited multiple times to optimize the slide quality in terms of color, spacing, font, etc. to improve the speech effect.

8. A method for implementing the intelligent speech function of slides based on LLM and TTS technologies according to claim 1, characterized in that: It also includes designing auxiliary functions and a wide range of customization options to support users to customize templates, color schemes, and animation effects to ensure that the presentation is both professional and attractive.

9. A method for implementing the intelligent speech function of slides based on LLM and TTS technologies according to claim 1, characterized in that: It also includes an end-to-end text-to-speech or speech-to-speech interaction method. Users do not need to pay attention to complex technical details and can directly complete the slide speech through natural language interaction.

10. A method for implementing the intelligent speech function of slides based on LLM and TTS technologies according to claim 1, characterized in that: It also includes building a benchmark test platform for evaluating and testing the performance and effects of the intelligent slide speech function, including content generation quality, voice naturalness, interaction response speed, and multimodal fusion effect, to ensure that it meets the expected quality standards.

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