10261results about "Sound input/output" patented technology

In some embodiments, an electronic device generates virtual lighting effects while presenting a content item. In some embodiments, an electronic device enhances navigation to a respective playback position of a content item. In some embodiments, an electronic device displays media content in a three-dimensional environment. In some embodiments, an electronic device presents media content in different modes of presentation.

Implementations relate to processing an image of a machine-read-able identifier (e.g., a QR code or other 2D barcode) to extract information that is encoded in the machine-readable identifier, and using the extracted information in automatically populating input fields of a fillable form that is being rendered at an application (e.g., a web browser application) of a computing device. Some implementations convert certain information, extracted from a machine-readable identifier, to a converted format and cause the converted format information to be populated in a corresponding input field in lieu of the certain information in its raw format that is extracted from the machine-readable identifier.

An aero-engine augmented reality virtual-real fusion method based on depth prior scene reconstruction comprises the following steps: firstly, collecting data of an aero-engine look-around RGB image and a depth image, calculating a camera frame pose by using an SFM algorithm and obtaining a sparse point cloud, and optimizing the camera pose by using an ICP algorithm and the point cloud converted from the depth image to obtain an aligned prior dense point cloud; gaussian points are initialized based on the priori dense point cloud and the sparse point cloud, and random generation of 3D Gaussian is limited by using the boundary of the dense point cloud as geometric constraint; through the three-dimensional reconstruction of the adjacent multi-view enhancement strategy, the spatial and visual consistency is improved, and an aero-engine model is reconstructed; then understanding the reconstructed aero-engine model based on semantic segmentation, identifying and marking core components, and finally performing virtual-real fusion visualization on the reconstructed aero-engine through augmented reality to guide training, assembling and maintenance operations. According to the invention, rapid high-quality three-dimensional reconstruction and augmented reality virtual-real fusion visualization of the aero-engine are realized.

The invention relates to the technical field of press monitoring, in particular to a digital twinning-based three-dimensional monitoring system for a precision servo press, which comprises a physical layer sensing module for acquiring real-time operating parameters, environment variables and workpiece processing data of the press; the dynamic twin construction module constructs a total-factor digital twin, and simulates a force-heat-deformation coupling effect by using finite element analysis and a multi-body dynamics algorithm based on physical attributes and process parameters; the intelligent analysis center identifies a potential fault mode of the press machine and locates an abnormal source through multi-physics field simulation data in combination with an improved CNN-LSTM model; the three-dimensional visual interaction unit constructs an interactive immersive three-dimensional virtual scene, renders a running state and a processing process in real time, and generates a maintenance strategy; and the self-adaptive regulation and control unit predicts the residual life of the key component and dynamically adjusts parameters according to a maintenance strategy and real-time monitoring data. Therefore, the problems of single monitoring dimension, disjunction of maintenance strategies and the like in the prior art are solved.

The invention provides an AI-based virtual digital human interaction system, and relates to the technical field of data processing, and the system is used for obtaining a user feature data set by performing feature extraction on an interaction data set, calculating an audio change rate and speech speed stability, obtaining speech emotion data, calculating syntactic complexity and counting the number of emotion words. Calculating a facial expression symmetry degree; obtaining facial emotion data; calculating body stability and identifying a visual staying area; obtaining attention state data; adjusting tone and speed of the virtual digital person according to the virtual digital person text, optimizing sentence pattern complexity and sentiment words in the virtual digital person text, adjusting changes of eyes, eyebrows and mouth corners of the virtual digital person, and adjusting information display sequence and visual focus guidance. According to the method, the interaction efficiency of the virtual digital human is improved by analyzing the facial expressions and the body actions of the user.

An auditory operating system designed to facilitate context-aware, audio-based user interactions, particularly with artificial intelligence agents or applications. An auditory operating system shell serves as the primary interface, managing and coordinating multiple specialized agents that handle specific domains like music streaming, scheduling, or home automation. Using natural language processing, the auditory operating system shell identifies the appropriate agent or application for a user's command or query and ensures task execution and context preservation across interactions. The auditory operating system shell enforces privacy and stability by controlling agents' and applications' access to data and system privileges. The auditory operating system shell also supports dynamic context management, enabling seamless handoffs between agents when user requests span multiple domains. This auditory operating system shell may reduce the need for users to memorize specific wake words or commands, as the auditory operating system shell may determine the user's intent from speech or contextual cues.

A method includes receiving data indicating a current media playback state of an external media playback device. The method includes, in response to receiving the data and in accordance with a determination that a set of external media playback device control criteria are met, displaying, via the display generation component, a user interface for controlling media playback at the external media playback device that includes one or more selectable user interface objects based on whether the data indicates that the external media playback device is currently performing a media playback operation.

The invention relates to the technical field of audio signal processing, and discloses a high-sampling-rate audio analysis optimization method and system, a storage medium and equipment, and the method comprises the steps: upgrading an FFTW (Fast Fourier Transform) library, and building an optimized memory management mechanism; carrying out adaptive framing processing on the input audio data, and optimizing the data access efficiency by adopting a multi-stage cache system; the calculation precision of the FFT fast Fourier transform is dynamically adjusted, and the calculation of the FFT fast Fourier transform is optimized by pre-calculating and caching an FFTW plan; performing clock synchronization optimization and jitter elimination on the COAX digital audio signal; establishing a multi-dimensional result cache matrix and an intelligent multiplexing decision tree, and reducing repeated operation through intelligent cache prediction and similarity calculation; system performance indexes are monitored in real time, adaptive parameter adjustment is realized based on an optimization objective function, audio quality and system stability are monitored in combination with subjective and objective evaluation mechanisms, repeated operation is remarkably reduced, and calculation resource allocation is optimized on the premise of ensuring sound quality.

An example process includes receiving a speech input from a user, obtaining a plurality of tasks based on the speech input, and determining, based on the plurality of tasks, an ordered task list associated with a set of task dependency criteria, wherein each task of the ordered task list includes a respective task dependency criteria. The process further includes displaying a representation of the ordered task list and performing each task of the ordered task list based on the set of task dependency criteria. The process further includes, while performing each task, updating the display of the representation of the ordered task list to indicate completion status of each task of the ordered task list, and displaying at least one graphical object corresponding to a respective task of the ordered task list.

To provide an information processing system, a control method for the information processing system, and a program that allow a user to distinguish a sound from a specific sound source while leaving the sounds from each sound source as they are, even when a plurality of sound sources are present in a direction of interest that is of interest to the user.SOLUTION: An information processing system 1000 comprises: display means (a display unit 107) capable of displaying an image of a mixed reality space; playback means (an audio output unit 105) capable of playing back sounds from a plurality of sound sources to a user; vibration applying means (a vibration unit 117) for applying vibration to the user; control means (a control unit 111) for controlling displaying a virtual object that can be linked to each sound source on the display means; and selection means for selecting the virtual object (an object selection instruction unit 116). The vibration applying means applies vibration to the user in accordance with the intensity of the sound from the sound source associated with the virtual object if the virtual object is selected.SELECTED DRAWING: Figure 2

A system and method for managing wagers and casino games on a display is provided. Generally, the system comprises a computing device and display in fluid communication with one another such that a user may choose sporting events, casino games, and / or other applications via a user interface of the computing device that will be presented in a display user interface of said display. Users may use a display and computing device connected to the display to watch sporting events, make sports wagers, play casino games, and view applications.

The invention relates to the technical field of auxiliary decision making, and discloses a graph-enhanced intelligent game and operation planning optimization auxiliary decision making system and method, and the method comprises the steps: inputting multi-source heterogeneous data into a space-time semantic mapping frame, and generating a unified space-time semantic data structure; generating a cognitive-spatio-temporal manifold model through a cognitive spatio-temporal manifold generation algorithm; obtaining user interaction data, and generating an adaptive view expression through an interaction response manifold deformation algorithm; obtaining user interaction behavior data, and generating a cognitive balance view through a cognitive load perception projection algorithm; generating an interactive decision-making scene through an immersive space-time scene rendering technology; according to the method, a complex game and operation planning optimization problem is mapped into a visual space-time scene, so that a decision maker can foresee and control a decision result in a virtual space-time space, and the understandability and controllability of game and operation planning optimization are greatly enhanced.

This application provides a control method and an electronic device. In this application, when receiving an operation performed by the user for interface transfer, an electronic device like an in-vehicle terminal determines, by analyzing a specific intention of the operation, whether to perform cross-screen transfer or one-screen transfer, to provide a better intelligent interface display service for the user. For example, when it is determined that the intention is to perform the cross-screen transfer, based on an actual display situation before transfer of a first interface and / or an interface display situation on a second screen, an interface transferred from an original screen may be displayed on a target screen in an appropriate display type after the transfer.

Disclosed are an audio parameter adjustment method, an audio parameter adjustment apparatus, an audio parameter adjustment device and a storage medium. The method includes: obtaining a target audio effect of an audio system, and analyzing the target audio effect to obtain a corresponding audio metric parameter; determining a target environment where the audio system is currently located, and calculating an environmental optimization parameter of the target environment; calculating, based on the audio metric parameter and the environmental optimization parameter, an optimization parameter of the audio system; and performing adaptive adjustment on the audio system based on the optimization parameter of the audio system.

A portable information handling system speaker mount has standardized contacts and mounting points to accept plural speaker types with different speaker characteristics to generate audible sounds driven by an audio subsystem with audio driver settings, such as speaker-type gains. When a speaker is inserted, the audio subsystem communicates a coil characterization signal to the speaker and then analyzes the coil response to identify the type of the speaker, such as by determining the resistance of the coil to a direct current signal or the impedance of the coil from a frequency-based signal. In one example embodiment, the coil characterization signal generates audible noise from the speaker that is detected by a microphone and analyzed to determine the speaker type identity.

The invention discloses a digital exhibition product display method based on deep learning, and the method comprises the steps: S1, constructing a self-evolution type dynamic feature optimization network, and optimizing the dynamic aggregation precision through feature adaptive iteration; s2, generating a unified dynamic display semantic model based on a holographic information multi-modal fusion engine; s3, the personalized display intention model is updated in real time in combination with the environment state and the display target; s4, based on an exhibition path optimization strategy, realizing real-time adjustment of an exhibit exhibition path; s5, adopting a quantization detail enhancement generation technology to generate an omnibearing exhibit detail virtual display effect; s6, realizing dynamic pushing and recommendation of multi-dimensional display content based on an interaction prediction mechanism of space-time perception; s7, constructing a lightweight quantum enhancement classification model, and realizing efficient exhibit dynamic display management; and S8, constructing an immersive multi-dimensional display effect of the exhibit in the virtual exhibition space. The system has the advantages of excellent user interaction experience and high exhibition management efficiency.

A controller configured to control a sound producing module includes a volume controlling unit configured to determine a demodulation amplitude and a modulation amplitude corresponding to a target volume. The sound producing module comprises a driving circuit and an air-pulse generating device. The driving circuit generates a demodulation driving signal according to the demodulation amplitude and generates a modulation driving signal according to the modulation amplitude, so as to drive the air-pulse generating device. The air-pulse generating device produces sound via generating a plurality of air pulses at an ultrasonic pulse rate.

The embodiment of the invention provides a digital human interaction system and method based on multi-modal emotion recognition, and belongs to the technical field of digital human interaction. The system comprises a multi-modal sensing module used for collecting multi-modal data and preprocessing the multi-modal data to generate a standardized data stream; the cross-modal fusion and emotion recognition module is used for carrying out interactive modeling on the multi-modal features and outputting a current emotion label and emotion intensity; the reaction planning module is used for generating a composite reaction strategy; and the digital human rendering module is used for mapping the composite reaction strategy into control signals corresponding to the voice, the facial expression and the action respectively, and driving a digital human to execute corresponding voice output, facial expression change and limb action through the control signals so as to realize interaction. According to the method, multi-modal data are deeply fused through the cross-modal graph neural network and comparative learning, the weight is dynamically adjusted in combination with the modal confidence, and the emotion recognition accuracy and robustness are improved.

This specification describes a computer-implemented method of generating context-dependent speech audio in a video game. The method comprises obtaining contextual information relating to a state of the video game. The contextual information is inputted into a prosody prediction module. The prosody prediction module comprises a trained machine learning model which is configured to generate predicted prosodic features based on the contextual information. Input data comprising the predicted prosodic features and speech content data associated with the state of the video game is inputted into a speech audio generation module. An encoded representation of the speech content data dependent on the predicted prosodic features is generated using one or more encoders of the speech audio generation module. Context-dependent speech audio is generated, based on the encoded representation, using a decoder of the speech audio generation module.

An ear-worn device is provided that operates to isolate and individually treat the received speech of a target speaker or multiple target speakers from an audio input signal detected in a multi-speaker environment. The ear-worn device uses a machine learning model that receives a voice signature of each of one or more target speakers as input signals, to identify and isolate the component of the audio input signal attributable to the target speaker(s). Once isolated, the target speaker's speech may be enhanced, de-emphasized, or otherwise processed in a manner desired by the wearer of the ear-worn device. The wearer may use an external electronic device, e.g., a phone, to select one or more target speakers in a conversation and / or configure various settings associated with processing the speech on the ear-worn device.

Example systems and methods described herein relate to a digital assistant service with automated function calling. Prompt data is provided to a generative machine learning model. The prompt data includes user input and function data. The user input is received via a user interface associated with a digital assistant. The function data identifies a plurality of functions. A response from the generative machine learning model includes a function identifier associated with a function from among the plurality of functions. In response to detecting that the response includes the function identifier, the function is invoked to obtain output data. The output data is caused to be presented in the user interface associated with the digital assistant.

The invention discloses a pair of blind person intelligent glasses based on binocular vision. The glasses comprise a glasses terminal and a cloud end. A data acquisition and transmission module, a voice interaction and feedback module and a power supply system are arranged in the glasses terminal, and the glasses terminal is used for acquiring and processing data and receiving and feeding back voice instructions; the cloud integrates a sensing module, a task planning module, an action module and a path planning and navigation module, the sensing module analyzes instructions and environment information, the task planning module extracts natural language intentions and generates task structures, the action module dynamically generates task templates to execute tasks, and the path planning and navigation module achieves fine-grained obstacle avoidance navigation. The environmental perception precision is improved through binocular vision and GPS fusion, the use threshold is reduced through natural language interaction, the complex task processing capacity of the system is improved through dynamic task decomposition, and the obstacle avoidance accuracy is improved through hierarchical path planning.

Disclosed herein is an audio system that can be customized by the user (including the developer) and that may allow the user to control more than just the sound levels and may allow the user to select more than one of a few pre-determined settings. Disclosed herein is a development platform that allows manufacturers (including the developers) to test various different parameters, settings, algorithms, functions, processes, accessories, and the like. The development platform allows the manufacturer to simulate the performances from possible options for the audio system, and then load the selected option from the development platform to the audio system. Additionally, the development platform that enables the end user to have the same level of control and ability to access, upload, and control plugins on the end user's device(s).

Devices and techniques are generally described for generating user satisfaction data in a natural language processing system. In various examples, first user input data may be received by a natural language processing system. Behavioral data related to the first user input data may be determined. Natural language processing error data related to the first user input data may be determined. First response data corresponding to the first user input data may be determined. First response characteristic data related to the first response data may be determined. First user satisfaction data may be determined based at least in part on the first response characteristic data, the behavioral data, and the natural language processing error data.

Systems and methods for a media content system. A media content provider includes storage for storing and serving video content to subscribers. The media content provider records and or otherwise stores video content from around the world. The system includes display devices configured to identify and tailor content to multiple individual users. Each user may have individual settings which provide for a customized viewing environment and experience. The system is configured to identify users of the system in order to tailor the content as appropriate. In addition, identification of users allows for the identification of the subscription content that corresponds to the user. Based upon identification of a user and corresponding subscription, the user's subscription content may be streamed to any location. In this manner, the users subscribed content may follow the user from home to a friend's house, or elsewhere.

In some embodiments, an electronic device presents media items from different media applications in a unified media browsing application. In some embodiments, an electronic device facilitates browsing of media from different media applications based on category of media (e.g., movies, television shows, etc.). In some embodiments, an electronic device facilitates setup of a unified media browsing application that presents media items from different media applications in a unified media browsing user interface. In some embodiments, an electronic device displays multiple episodes of a collection of episodic content (e.g., a television series) in a user interface for the collection of episodic content. In some embodiments, an electronic device displays representations of, and provides access to, live-event media items accessible on the electronic device.

Examples described herein relate to transitioning a playback session between portable playback devices such as “smart” headphones, earbuds, and handheld speakers with playback devices of a zone-based media playback system. Exemplary techniques facilitate continuity of playback when transitioning between locations (e.g., from at home to on-the-go or vice versa) or between listening paradigms (e.g., personal or out-loud playback of audio content). An example implementation includes detecting a swap trigger, determining the source playback device(s) and target playback device(s), and performing a playback session swap between the source playback device(s) and target playback device(s).