45 results about "Voice assistant" patented technology

1. The name of the present design product: furniture user interface of intelligent voice remote control for electronic equipment. 2. The use of the present design product: for an electronic device. 3. The design points of the present design product: the interface content in the graphical user interface. 4. The picture or photo that best indicates the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: the human-computer interaction of the graphical user interface of the present design product for the furniture of intelligent voice remote control. 7. The human-computer interaction mode of the graphical user interface: design 1 front view is used to display the homepage interface information, click "furniture connection" on the interface shown in design 1 front view to switch into design 1 interface change state diagram, click "voice assistant" on the interface shown in design 2 front view to switch into design 2 interface change state diagram, click "account information" on the interface shown in design 3 front view to switch into design 3 interface change state diagram.

1.The name of the design product: smart voice assistant operation graphical user interface of electronic device and its main body. 2.The use of the design product: an electronic device. 3.The design points of the design product: the graphical user interface. 4.The picture or photo that best indicates the design points: design 1 front view. 5.The electronic device is a conventional design, and the rear view, left view, right view, top view, and bottom view of designs 1-8 are omitted. 6.Design 1 is designated as the basic design. 7.The use of the graphical user interface: the graphical user interface is used for the management, control, and operation of the smart voice assistant. The protected part is the main body for the operation of the smart voice assistant. Among them, the design 1 front view is the display interface of the smart voice assistant, the voice awakens the smart voice assistant, the bottom center displays the input or prompt text content of the user voice instruction, when the voice instruction recognition in the design 1 front view is successful, it enters the design 1 interface change state diagram 1; when the design 1 interface change state diagram 1 is in continuous dialogue mode, if no further instructions are received within a certain period of time, the smart voice assistant is collected and resides above the bottom function bar, and enters the design 1 interface change state diagram 2; the design 2 front view is the display interface of the smart voice assistant, the voice awakens the smart voice, the bottom center displays the input or prompt text content of the user voice instruction, when the design 2 front view voice instruction recognition is successful, it enters the design 2 interface change state diagram 1; when the design 2 interface change state diagram 1 is in continuous dialogue mode, if no further instructions are received within certain period of time, the smart voice assistant is collected and resides above the bottom function bar, enters the dynamic display interface of design 2 interface change state diagram 2-design 2 interface change state diagram 7, at this time the voice assistant in the residence state expands and shrinks outward in a breathing rhythm, and gradually bubbles appear on the right side and disappear; the design 3 front view is the display interface of the smart voice assistant, the voice awakens the smart voice and the bottom center displays the input or prompt text content of the user voice instruction, when the design3 front view voice instruction recognition is successful, it enters the design 3 interface change state diagram; the design 4 front view is the display interface of the smart voice assistant, the voice awakens the smart voice the bottom center displays the input or prompt text content of the user voice instruction, when the design4 front view voice instruction recognition is successful, it enters the design 4 interface change state diagram, at this time the smart voice assistant is in the residence state display; the interactive operation of designs 5-8 corresponds to the same interactive operation as design 3. 8.Other circumstances that need to be explained: the dark red part in the design is not protected, and the part not coated with dark red is the protected design.

This application provides a model loading method and a terminal device, relating to the field of terminal technology. The method includes: loading at least a portion of the model files of a preset language model into a first memory pool when no preset language model is running; receiving a first user instruction to trigger a voice assistant function of a first application; and, in response to the first user instruction, running the preset language model while all model files of the preset language model are loaded into the first memory pool, generating a semantic reasoning result for the first user instruction using the preset language model.

A computing system providing an enhanced user experience with a voice assistant (VA) that may be part of an automotive or vehicle infotainment system. A speech recognition module 10 converts spoken in

The application provides a health question and answer method of an AI voice assistant and a smart watch, and the method comprises the following steps: S1, accepting health description input of a user; S2, mapping the health description of the user to a medical concept library to generate a standardized symptom description; S3, inputting the standardized symptom description into a probability association layer, performing dynamic probability flow propagation calculation based on a pre-constructed medical knowledge graph to generate an associated symptom result and a probability of a corresponding disease hypothesis; and S4, combining user portrait data to correct the probability in a portrait adaptation layer. The application changes fuzzy description into a standardized symptom, combines medical knowledge graph reasoning disease probability and optimizes the result according to the user portrait, solves the problem of low question and answer accuracy caused by semantic ambiguity, improves the accuracy of personalized health suggestions, and avoids the disadvantages of traditional systems, such as the influence of forced accurate description on experience and the lack of help of generalized output answers.

1. Name of the product in this design: Mode selection area of ​​the user control graphical user interface for electronic devices. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Design 1 is designated as the basic design. 6. Purpose of the graphical user interface: to control the water heater's operating mode and display its operating status; the protected parts are used for mode selection. 7. Human-computer interaction methods of graphical user interface: Users can click on text or icons in the view, select corresponding programs and adjust corresponding parameters by voice input; users can also control it through wireless connection methods such as remote control, APP, etc. 8. Other situations requiring explanation are illustrated in the diagrams: Design 1's main view is the initial boot screen with program icons lit up; the interface state change diagram for Design 1 is the interface automatically navigated to from the main view of Design 1 when the program is closed. Design 2's main view is the initial boot screen with the "Personalized Customization" program icon lit up; the interface state change diagram for Design 2 is the interface automatically navigated to from the main view of Design 1 when the "Personalized Customization" program is closed. Design 3's main view is the initial boot screen with all program icons lit up; the interface state change diagram for Design 3 is the interface automatically navigated to from the main view of Design 3 when a single program is open. Design 4's main view is the initial boot screen with all program icons lit up; the interface state change diagram for Design 4 is the interface automatically navigated to from the main view of Design 4 when the "Voice Assistant" program is open. 9. Other matters requiring explanation: This design is a partial design, and the part for which protection is sought is the part not coated with the red translucent layer. The above colors are only used to indicate the protected part, and this design does not seek protection for the colors.

The present invention provides a vehicle U-turn signaling system designed to enhance road safety by clearly communicating a driver's intent to perform a U-turn. Leveraging existing vehicle turn signal infrastructure, the system generates a distinctive blinking pattern visually and temporally different from standard turn signals, ensuring immediate recognition by nearby drivers, pedestrians, or traffic personnel. Implementation methods include updating the vehicle's electronic software or integrating a dual-pattern flasher module, requiring minimal hardware modifications. Activation methods encompass double-clicking the existing turn signal lever, using a dedicated button, a virtual interface, or voice command via the vehicle's voice-assistant system. Dashboard indicators replicate the U-turn signal's unique pattern, featuring optional symbolic or language-specific cues for global use. Additional features include synchronized auditory feedback and optional integration with cameras and proximity sensors for obstacle detection. The system provides a cost-effective and adaptable solution for improved vehicle signaling during complex turning maneuvers.

The application discloses a kind of server remote control method and system of mobile phone voice assistant, belong to server remote management technical field.The method is by receiving voice form server management command and preliminary collection, after pre-processing and integrity detection, by voice recognition and semantic analysis into server executable control instruction, start identity verification process to determine security level and check information validity, after verification, execute corresponding management operation, real-time feedback operation progress, result and server running state;Corresponding system contains voice reception, instruction analysis, identity verification, instruction execution and information feedback module.The scheme simplifies operation process, improves management security and information feedback real-time, adapts mobile office scene, enhances applicable flexibility, effectively solves the problems, such as operation complexity, security deficiency of prior art.

This utility model relates to the field of agricultural intelligent equipment technology, and provides a vegetable harvesting and baling integrated machine. The machine body includes a chip, weighing sensor, temperature and humidity sensor, 4G positioning sensor, and AI voice assistant. The 4G positioning sensor controls the distance, the temperature and humidity sensor detects the air temperature, and then controls two front rollers to drive two small pulleys. The long shaft of the roller drives several gears below, thereby driving the reel to complete the separating motion. A stepping slide controls the height of the disc cutter, and a high-speed motor controls the movement of the disc cutter to complete the cutting motion. After cutting, the vegetables rise and fall onto a movable baffle. The vegetables are then controlled to fall onto the rear track, where they are weighed and displayed on a screen. Two conveyor shafts drive the rear track to transfer the vegetables to the baling device. A push-pull rod pushes the rear baffle to complete the bundling, and the vegetables fall onto a container, completing the integrated harvesting, weighing, and baling process.

Smart Integrated Dental Chair with Display and Voice-Assistant Module

This application discloses a voice assistant wake-up method, device, equipment, and storage medium, relating to the field of voice control technology. The disclosed voice assistant wake-up method includes: extracting vibration features based on vibration signals; matching the vibration features with a preset action library to obtain action matching degree and action matching timing information; determining a face matching score and an interaction environment score based on cockpit image data when the action matching degree is greater than or equal to a preset action matching threshold and the action matching timing information meets the corresponding preset action timing conditions; determining a voice assistant wake-up score based on the action matching degree, face matching score, and interaction environment score; and generating a voice assistant wake-up control command when the voice assistant wake-up score is greater than a preset threshold to wake up the voice assistant. This solution can achieve low-power and accurate wake-up of intelligent voice assistants in new energy vehicles.

1. Name of the product in this design: Home Intelligent Agent (002). 2. Purpose of this design: This design is intended for use as a smart voice assistant within a home Wi-Fi network, enabling voice control of smart home devices and AI interaction. 3. The key design features of this product are: the shape of design 1 in this product; and the combination of the shape and color of design 2 in this product. 4. The picture or photo that best illustrates the key design points: Design 1 3D diagram 1. 5. Design 1 is designated as the basic design. 6. Other situations requiring explanation: This design patent claims to protect the color of Design 2.

1. The name of the design product: multi-state interaction graphical user interface with voice assistant for commercial vehicle-mounted equipment. 2. The use of the design product: for vehicle-mounted equipment. 3. The design points of the design product: the design of the graphical user interface in the screen. 4. The picture or photo that best indicates the design points: front view. 5. The central control screen is the usual design, omitting other views, omitting perspective view, rear view, left view, right view, top view, bottom view. 6. The use of the graphical user interface: for voice interaction on the vehicle. 7. The human-computer interaction mode of the graphical user interface: the front view is the initial interface, after the voice wake-up assistant enters the changed state diagram 1, through the voice instruction to request to dial the communication contact person to enter the changed state diagram 2, through the voice instruction to search for the destination to enter the changed state diagram 3, and through the voice selection of the destination to enter the changed state diagram 4.

1. The name of the design product: Accompanying intelligent machine (career planning). 2. The use of the design product: Voice assistants for providing intelligent voice interaction, career planning, leisure companionship, etc. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1. 5. Other circumstances that need to be explained: A is the screen display of the intelligent machine.

An electronic device may include a display, a processor, and a memory. The processor may instruct the electronic device to: display a first execution screen of a first application; display a second execution screen of a voice assistant application, second execution screen overlaid on a partial area of the first execution screen of the first application; receive a screen capture command through the voice assistant application while the second execution screen is displayed overlaid on the partial area of the first execution screen; and perform screen capture based on the screen capture command while the second execution screen is displayed overlaid on the partial area of the first execution screen, the screen capture being performed by saving an image of the first execution screen, on which an image of the second execution screen is not overlaid, in a partial area of the first execution screen.

This application relates to the fields of artificial intelligence and human-computer interaction technology, and discloses an internet TV voice interaction method, device, and related products. The method includes: recognizing user-input voice data to generate text data; processing the text data using a pre-trained intent recognition model to generate user intent; filtering multiple business processing agents based on the intent type and agent feature data of multiple business processing agents to obtain a target business processing agent; processing the text data using the target business processing agent to generate processing result data; and outputting the processing result data in voice, image / text, or video format. This application can significantly improve the semantic understanding ability of TV voice assistants, and by filtering multiple business processing agents according to intent type, accurately matching processing units to handle diverse tasks, ultimately achieving a more stable and efficient internet TV voice interaction effect.

The application relates to a smart screen application dynamic loading technology method and system, and belongs to the field of emerging information. The application comprises the following steps: collecting voice audio data of a user; preprocessing the voice audio data through an AIMaster voice assistant, carrying out text conversion on the preprocessed voice audio data, and obtaining a standardized instruction object; distributing the standardized instruction object to a smart SDK; analyzing the standardized instruction object through the smart SDK, carrying out dynamic route matching, and obtaining a target card; listening to data broadcast by the smart SDK through a voice message listener of the target card, and obtaining a business processing function; when the business processing function is triggered, data extraction and card interface rendering are carried out, and a smart screen interface is obtained. Through unified configuration specifications and a dynamic route mechanism, the application simplifies a card development process, reduces the coupling degree of underlying communication, and enhances system compatibility, expansibility and maintenance convenience.

This invention discloses a voice assistant control method, a vehicle, and a storage medium. By monitoring the user's cross-screen transfer intention after waking the voice assistant in real time, and dynamically switching the voice assistant's service focus from the current audio zone screen to the target audio zone screen upon confirmation of the intention, the method simultaneously associates the user's voice input channel with the application list of the target screen. Therefore, this embodiment allows users to operate any visible and speakable function on any screen in the vehicle directly through voice commands without leaving their current seat or repeatedly waking the voice assistant. This embodiment significantly simplifies the cross-screen control operation process, compressing the original multi-step operation of "moving position, re-waking, and issuing commands" into a smooth closed loop of "waking up, expressing intention, and direct control," improving interaction efficiency while effectively reducing the safety risks caused by driver distraction due to frequent operations.

The application discloses a car machine voice assistant interaction method and device, equipment and storage medium, relates to the technical field of vehicle voice processing, and the car machine voice assistant interaction method comprises the following steps: acquiring multi-modal data affecting the mood of a user, comprehensively judging the mood state of the user; and adjusting the image and voice information of the car machine voice assistant according to the mood state judgment result of the user. The application can solve the problems of single dialogue mode and insufficient emotional expression of the existing car machine voice assistant.

This invention discloses a conversation management method, apparatus, terminal device, and storage medium. The method involves acquiring text information input by a user; performing slot and intent recognition on the text information to obtain extracted slots and intents; performing conversation management on the extracted slots and intents to obtain operation instructions, wherein the conversation management includes one or more of slot confirmation, intent confirmation, and post-intent verification; parsing the operation instructions into corresponding operation content, and displaying the operation content on the front end for the user to view. This invention improves the processing capabilities of voice assistant systems.

This invention provides a voice assistant intent understanding method, belonging to the field of automotive technology. It identifies natural language text; generates structured semantics based on the natural language text; fuses the structured semantics to form a semantic structure that conforms to the user's intent; and parses the semantic structure that conforms to the user's intent. This invention utilizes the language understanding capabilities inherent in LLM (Low-Level Learning Model), reducing the workload of sample data creation, model training, and development verification, thus shortening the development cycle. While reducing costs and increasing efficiency, it significantly enhances the NLU's ability to understand multiple intents and multi-turn intents, greatly improving the intelligence and user experience of the voice assistant.

Systems and methods for routing audio and / or video streams and remote rendered video layout for conference side group conversations and voice assistant providers are disclosed. During a main conference comprising a plurality of users, a request is received to create a side group conversation comprising a subgroup of the plurality of users. A voice assistant provider is invited to the side group conversation. Users in the subgroup may be granted different permissions to query or receive responses from the voice assistant. Incoming audio and video streams from each user are demultiplexed and decoded. Decoded audio streams are processed by an appropriate audio mixer of the group and voice assistant. Decoded video streams are processed and rendered based on a video grouping render policies. Processed audio streams for each group and voice assistant and / or rendered videos are encoded and routed to each user through their dedicated multiplexer.

The application provides an interface generation method and device, equipment, a storage medium and a program product, wherein the interface generation method is applied to a vehicle, and comprises the following steps: in response to query information for a voice assistant, analyzing the query information to obtain an analysis result; obtaining target data from a target database based on the analysis result; inputting a target interface design specification and the target data into a first target model to generate a target interface; and displaying the target data in the target interface. Through the above scheme, the target interface meeting the interface design specification and the user demand can be obtained, and the target data meeting the user demand is displayed in the target interface, thereby improving the user experience.

The application relates to the field of visual technology, in particular to a visual doorbell based on face recognition, which comprises a doorbell body, the front of the doorbell body is provided with a camera and a doorbell button, the doorbell body is provided with a doorbell system, the doorbell system comprises a face collection module, the face collection module is arranged on an outdoor unit and is used for capturing a visitor's face image in real time, a local recognition engine, a built-in pre-stored face database, feature extraction and identity matching of the collected image, a dynamic response unit, a differentiated response strategy is triggered according to a recognition result, when the recognition result is that the visitor is an authorized user, the dynamic response unit automatically unlocks the access control and pushes personalized welcome information to an indoor terminal, when the recognition result is that the visitor is an unauthorized person, the dynamic response unit starts real-time alarm and records a visitor behavior video, a cloud collaborative module, data synchronization with the local recognition engine, remote update of the face database and the recognition algorithm are supported, the visual doorbell based on face recognition automatically enhances the call volume and the interface display brightness for the old users, and a voice assistant is activated to guide the children.

This application relates to the field of speech recognition technology, specifically to a voice interaction method and system for an artificial intelligence security assistant. The method includes: acquiring audio data from the voice assistant's wake-up to sleep state and dividing it into multiple time periods; dividing each time period into multiple time intervals; based on the changing trend of the dispersion of audio data in all time intervals within each time period, as well as the dispersion of the time interval between adjacent abrupt change points, the dispersion of the time interval between all adjacent peak points, and the difference between low-frequency and high-frequency energy, obtaining the step size factor adjustment coefficient for each time period; and then adjusting the preset initial step size factor for each time period to obtain denoised audio data for each time period, thereby enabling voice interaction. This application improves the denoising effect of audio data by adaptively acquiring the step size factor of audio data for each time period.

A computer-implemented procedure that, when executed by data processing hardware, causes the data processing hardware to perform operations. These operations include receiving a voice command at a virtual control module and processing the voice command using the virtual control module's voice assistant architecture. The operations also include acknowledging the voice command using the voice assistant architecture and executing one or more advanced driver assistance system (ADAS) operations in response to the acknowledged voice command using a vehicle's ADAS.

The application discloses a method and system for connecting intelligent devices to an intelligent voice platform, and the method comprises the following steps: recording the device type and corresponding device attributes of the intelligent device into the intelligent voice platform through the device firmware of the intelligent device, wherein the device firmware is developed according to the access software development kit provided by the intelligent voice platform; setting the voice capability required by the device type; establishing a mapping relationship between the device type, corresponding device attributes and voice capability; obtaining and analyzing voice changes, identifying user operations, and calling corresponding device attributes to issue operation instructions to the corresponding device. Through the implementation of the application, manufacturers do not need to develop multiple skill interfaces for realizing the voice platform, and do not need to consider the incompatibility problem of the skill interface of the voice platform, so that one device can be connected to different voice platforms at the same time, and different voice assistants can be controlled.

The application discloses a distribution preserving type structure distillation method for continuous named entity recognition, and comprises the following steps: S1, initializing a model; S2, training the model; S3, after the training is completed, a final inference model is obtained through a semantic perception parameter fusion mechanism VSPF; and S4, outputting a result by using the final model. The method can effectively alleviate the catastrophic forgetting problem in long-term online learning of a voice assistant and improve continuous learning performance.

This invention discloses an intelligent recognition and control method based on multiple voice assistants, relating to the fields of speech recognition and human-computer interaction control technology. The method includes the following steps: collecting the speech change trajectory during the simultaneous response phase of multiple voice assistants; continuously recording the overlap between the played speech and the collected speech over time; and marking the start and end positions of each feedback speech segment to obtain a speech change record. This invention, by marking and removing feedback speech, blocks the backflow of speech into the recognition process, ensuring stable speech input and improving recognition continuity. Simultaneously, it organizes and compresses semantic content, and adjusts and restricts the triggering order of control behaviors to avoid repeated execution and overlapping phenomena, ensuring the control process proceeds in an orderly manner and remains consistent with the original intent.