9000 results about "Audiology" patented technology

Systems, devices, and methods for presenting audio associated with events associated with spatialized audio effects or non-spatialized audio effects in three-dimensional environments are disclosed. The spatialized and / or non-spatialized audio effects correspond with displaying, via a display generation component, a three-dimensional environment from a viewpoint of a user. While displaying the three-dimensional environment from the viewpoint of the user, the computer system detects an event. When the computer system detects an event which corresponds to a spatialized sound effect, the computer system presents the sound effect as emanating from a location in the three-dimensional environment associated with the event. When the computer system detects an event which corresponds to a non-spatialized sound effect, the computer system presents the sound effect as emanating from a predetermined location for audio in the three-dimensional environment that has a predetermined spatial relationship relative to the viewpoint of the user

Systems, methods, and non-transitory computer readable media including instructions for interpreting facial skin micromovements are disclosed. An example head mountable system includes a housing configured to be worn on a head of a wearer. The head mountable system also includes at least one detector integrated with the housing and configured to receive light reflections from a facial region of the head and to output associated reflection signals. The head mountable system also includes at least one microphone associated with the housing and configured to capture sounds produced by the wearer and to output associated audio signals. The head mountable system also includes and at least one processor in the housing, configured to use both the reflection signals and the audio signals to generate output that corresponds with words articulated by the wearer.

The invention relates to the technical field of sleep aiding, in particular to a method and a system for extracting feature information of a sleep state monitoring model. The method comprises the following steps: carrying out multi-mode physiological signal acquisition on a detected object to obtain original sleep monitoring data; performing noise removal and signal enhancement processing on the original sleep monitoring data, and performing signal segmentation to obtain multi-channel sleep signal fragment data; performing feature extraction based on electroencephalogram, eye movement diagram, electromyogram, electrocardiogram and accelerometer signals on the multi-channel sleep signal fragment data to obtain multi-dimensional feature data; and performing ultrasonic feature and acoustic feature extraction on the multichannel sleep signal fragment data to generate acoustic feature data. According to the method, dynamic modeling and trend prediction are carried out on the conversion process of the sleep state, potential sleep disorder events can be accurately recognized, influence evaluation is carried out on the potential sleep disorder events through deep learning, and support is provided for personalized sleep diagnosis.

A computer implemented system for authenticating an audio conversation occurring between a human target and an unknown speaker. The system adjusts messages sent to the speaker to include characteristics that evoke different responses in bots controlling vocoders to generate deepfakes than are evoked in humans. By analyzing these responses, harms from deepfake threats can be avoided by turning the tools used by deepfake generating bots against those very bots.

A system, including: an ear worn device configured to provide audio to a user's ear; a switch configured to receive physical contact from the user and, in response, alter an activation state of the switch; and a case configured to receive the ear worn device when not in use, wherein the case includes an electromagnet configured to magnetically attract the ear worn device, wherein changing the activation state of the switch causes the electromagnet to reduce attraction to the ear worn device to allow the user to more easily remove the ear worn device from the case.

Systems, methods, and computer program products are disclosed for establishing nonvocalized communications. Establishing nonvocalized communications may include detecting a directional gesture made by a wearer of a first wearable device configured to determine facial skin micromovements of the wearer, wherein the directional gesture identifies a second device in proximity to the first wearable device. Based on the directional gesture, a wireless communication channel for enabling a nonvocalized communication between the first wearable device and the second device is selected. Thereafter, specific facial skin micromovements of the wearer of the first wearable device are determined. The specific facial skin micromovements indicate words to be communicated in an absence of perceptible vocalization by the wearer of the first wearable device. Then, the words are transmitted via the wireless communication channel from the first wearable device to the second device for presentation via the second device.

A user electronic device comprising: one or more microphones configured to capture raw audio data; and one or more processors and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to perform operations comprising: receiving the raw audio data captured by the one or more microphones; processing the raw audio data using a speech transcriber to generate a live transcription of the raw audio data that comprises a plurality of text tokens; processing the raw audio data to generate a speaker identification output that identifies, for each of the text tokens, a respective speaker for each of the text tokens in the live transcription; and processing a first input comprising (i) a first input prompt and (ii) an input text generated from the live transcription using a language model neural network to generate a modified transcription.

A loudspeaker apparatus includes a circuit housing configured to accommodate a circuit component or a battery; an ear hook; a housing of an earphone core configured to accommodate the earphone core; and a housing protector at least partially covering a periphery of the circuit housing and the ear hook. A first end of the ear hook is connected to the circuit housing. The earphone core is driven by the circuit component or the battery to vibrate to generate sound. The housing of the earphone core is connected to a second end of the ear hook away from the circuit housing through a hinge component. The hinge component is capable of rotating to change a position of the housing of the earphone core relative to the ear hook.

A neural network audio codec system and related methods are provided. In one example, a method is provided comprising: obtaining speech audio to be encoded; applying the speech audio to an audio encoder that is part of a neural network audio codec system that includes the audio encoder and an audio decoder. The audio encoder and the audio decoder have been trained in an end-to-end manner. The speech audio is encoded with the audio encoder to generate embedding vectors that represent a snapshot of speech audio attributes over successive timeframes of the raw speech audio, and from the embedding vectors, codeword indices are generated to entries in a codebook. The codeword indices are then transmitted or stored for later retrieval and processing by the audio decoder. Further aspects include converting the speech audio to text based on decoding the codeword indices, translating the speech audio from a first language into a second language by mapping codeword indices from a first language to a second language, converting the speech audio prosody by mapping the codeword indices, text generation and discrimination tasks.Yet another aspect includes converting text to speech audio with a different prosody.

The invention relates to the technical field of artificial intelligence, can be applied to the field of medical health, and discloses a timbre conversion method, device, equipment and medium based on cultural semanteme, the method comprises the following steps: constructing a cultural semantic timbre library comprising a semantic label and timbre characteristic parameter mapping relationship, the semantic label characterizing emotional semanteme of a target timbre, and the timbre characteristic parameter mapping relationship between the semantic label and the timbre characteristic parameter; the timbre characteristic parameters comprise a pitch range, rhythm rhythm and a harmonic structure; performing feature extraction based on text, image and audio multi-mode information to obtain semantic keywords, visual emotion features and audio acoustic features; performing attention weight fusion on the features through a multi-modal fusion deep learning model, and dynamically adjusting model parameters in combination with a semantic timbre library to generate a target timbre; and finally, intelligent conversion from the multi-mode information to the adaptive tone is realized. Through semantic-driven multi-modal feature collaborative optimization, the defect that timbre conversion machinery is stiff and lacks emotional expression is overcome, and the integrating degree of timbre expression and semantic scenes is improved.

A speaker device is provided. The speaker device may include a circuit housing, an ear hook, a rear hook, and a speaker assembly. The circuit housing may be configured to accommodate a control circuit or a battery. The ear hook may be connected to one end of the circuit housing and at least a part of the ear hook being covered by a first housing sheath. The rear hook may be connected to the other end of the circuit housing and at least a part of the rear hook being covered by a second housing sheath. The first housing sheath and the second housing sheath may cover at least a part of a periphery of the circuit housing from two ends of the circuit housing, respectively. The speaker assembly may include an earphone core and a core housing for accommodating the earphone core.

The present disclosure relates to a speaker device. The speaker device may include an ear hook, a core housing for accommodating an earphone core, and a circuit housing for accommodating a control circuit or a battery. The ear hook may include a first plug end and a second plug end. The ear hook may be surrounded by a protective sleeve which may be made of an elastic waterproof material. The ear hook may be elastic, and a position of the core housing relative to the ear hook may be changed according to an elastic deformation of the ear hook, thereby the core housing may fit a user in front of or behind an ear of the user. The circuit housing may be fixed to the second plug end. The control circuit or the battery may drive the earphone core to vibrate to generate a sound.

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 method for realizing synchronization of a character expression and a lip shape in a video through an emotion in sound and a cloned digital human system, and the method for realizing synchronization of the character expression and the lip shape in the video through the emotion in the sound comprises the steps: collecting audio information, and extracting multi-dimensional features of the sound; applying a pre-trained expression and lip shape generation model to generate corresponding expression parameters and lip shape parameters according to the multi-dimensional features of the sound; performing fusion processing on the expression parameters and the lip shape parameters, and generating a continuous animation sequence according to the fused parameters; and rendering the continuous animation sequence to generate video information with expressions, lip shapes and sound emotion synchronization. The high-precision expression and lip shape synchronization is realized, the natural fidelity of the cloned digital human is improved, and the application range and value of the cloned digital human are expanded.

A system and method of targeting spatialized audio to ears of a listener, comprising sensing characteristics of an environment comprising at least one human by receiving radio frequency signals with a radio receiver; using the sensed characteristics in at least one automated processor to analyze at least one human dynamic physiological pattern of each human and estimate a body pose and head position within the environment of each human based on the sensed characteristics and the at least one human dynamic physiological pattern; and using an estimated position of the ears of each human in conjunction with a head-related transfer function in a spatial audio system to generate spatialized audio.

The invention relates to the technical field of electroencephalogram signal processing, in particular to an ontology brain wave audio auditory perception synchronous feedback method, device and system and electronic equipment. The method comprises the following steps: receiving electroencephalogram signals of a collected user on line from electroencephalogram collection equipment through an upper computer, obtaining electroencephalogram signals of a specified frequency band from the electroencephalogram signals, and extracting corresponding electroencephalogram characteristics; according to the electroencephalogram features or preset rhythm parameters, the electroencephalogram signals of the specified frequency band are segmented into a plurality of electroencephalogram segments, a plurality of audio expressions corresponding to the electroencephalogram segments are generated, and feature parameters of the audio expressions are determined according to the electroencephalogram features of the corresponding electroencephalogram segments; generating brain wave audio representation data according to the audio representation corresponding to the electroencephalogram signals of the one or more designated frequency bands, and obtaining brain wave audio according to the brain wave audio representation data. Therefore, the physiological suitability of nerve regulation and control and the artistic expressivity of audio generation are met at the same time, and organic unification of nerve regulation and control and audio generation is achieved.

This document relates to employing tongue gestures to control a computing device, and training machine learning models to detect tongue gestures. One example relates to a method or technique that can include receiving one or more motion signals from an inertial sensor. The method or technique can also include detecting a tongue gesture based at least on the one or more motion signals, and outputting the tongue gesture.

The invention relates to the technical field of computers, in particular to an LED display method with volume level indication and playing and singing guidance, and the method comprises the steps: collecting a playing audio signal of a user in real time when the user carries out playing, carrying out the preprocessing of the playing audio signal, carrying out the analysis of the preprocessed playing audio signal, and carrying out the display of the volume level indication and playing and singing guidance. Extracting corresponding music elements, wherein the music elements comprise volume, intonation and rhythm; the display mode of an LED lamp is adjusted according to the music elements, volume level indication and playing and singing guidance are sent to a user based on the display mode of the LED lamp, and the display mode comprises LED lamp brightness and flicker frequency; and judging whether the user plays correctly or not, when the user plays correctly, the LED lamp displays green and continues, when the user plays wrongly, the LED lamp displays red and continues, and if the continuous playing is wrong, the LED lamp displays red and flickers. According to the invention, richer and more personalized teaching experience can be provided.

Systems, methods, and non-transitory computer-readable media containing instructions are disclosed for detecting and utilizing facial skin micro-motion. In some non-limiting embodiments, detection of facial skin micro-motion occurs using a speech detection system that may include a wearable housing, a light source (coherent light source or incoherent light source), a light detector, and at least one processor. The one or more processors may be configured to analyze light reflections received from the facial region to determine facial skin micromotion, and extract meanings from the determined facial skin micromotion. Examples of meanings that may be extracted from the determined facial skin micromotion may include words spoken by the individual (silent or voiced), an identity of the individual, an emotional state of the individual, a heart rate of the individual, a respiratory rate of the individual, or any other biometric, emotion or speech related indicator.

The present application provides a snoring treatment device, including a vibration part, the vibration part is provided with an opening for the inflow of exhaled airflow, an inner cavity connected to the opening, and an exhaust port connected to the inner cavity, and the vibration part is adapted to generate a vibration sound wave with a frequency range of 20 to 200 Hz under the action of the exhaled airflow after the inflow of the exhaled airflow. The snoring treatment device provided by the present application can accurately exercise the upper respiratory tract muscles, making the upper respiratory tract muscles strong, thereby achieving the purpose of treating snoring.

This specification describes a computer-implemented method of training a machine-learned speech audio generation system for use in video games. The training comprises: receiving one or more training examples. Each training example comprises: (i) ground-truth acoustic features for speech audio, (ii) speech content data representing speech content of the speech audio, and (iii) a ground-truth speaker identifier for a speaker of the speech audio. Parameters of the machine-learned speech audio generation system are updated to: (i) minimize a measure of difference between the predicted acoustic features of a training example and the corresponding ground-truth acoustic features of the training example, (ii) maximize a measure of difference between the first speaker classification for the training example and the corresponding ground-truth speaker identifier of the training example, and (iii) minimize a measure of difference between the second speaker classification for the training example and the corresponding ground-truth speaker identifier of the training example.

Disclosed herein is a system and method for implementing a personalized ultrasound neuromodulation system and methods with neural sensing of personalized electrophysiological data, guiding ultrasound targeting and dosage using such personalized data. Specific ultrasound transducer solutions are provided for various neural targets that enable the low-intensity focused ultrasound to modulate the central nervous system and peripheral nervous systems to treat a variety of neurological and mental disorders. A portable ultrasound console device, a wearable guiding apparatus and a compact solution for effectively and safely enabling point-of-care neuromodulation, e.g., home healthcare, are provided. Further methods for ultrasound waveform customization are also described to improve effectiveness of ultrasound neuromodulation.

The invention relates to a sound effect adjustment method, a training method of a sound effect adjustment multi-modal large model, computer equipment and a storage medium. The method comprises the following steps: in response to a sound effect adjustment request for target music sent by a terminal, obtaining an original audio of the target music; inputting the original audio of the target music into a target encoder module of the trained sound effect adjustment multi-mode large model to obtain audio features of the target music, inputting the audio features into a projection module, and converting the audio features into music description semantic features of the target music; the music description semantic feature is a semantic feature of a description text of the target music; and inputting the music description semantic features of the target music into the large language model module to obtain sound effect adjustment parameters of the target music. By adopting the method, a user does not need to manually select a sound effect adjustment mode, and the adjusted parameters can be determined according to the target music, so that the sound effect adjustment effect can be improved.

The embodiment of the invention provides a method and a device for identifying the authenticity of sound in audio information, which can refine classification categories under the condition of identifying that the sound in the audio information is real sound or forged sound (such as synthetic sound), and specifically, the method and the device can be used for identifying the authenticity of the sound in the audio information. A real sound or counterfeit sound classification category is each refined into at least one hidden category within a hidden space, a single hidden category being characterized by a single prototype vector. According to the method, after the audio information to be recognized is coded to obtain the corresponding coding vector, the coding vector can be compared with each prototype vector to obtain each corresponding similarity, and then the sound authenticity of the audio information to be recognized is determined according to each similarity, namely, the audio information belongs to a real sound classification category or a forged sound classification category. Therefore, the accuracy of sound authenticity identification in the audio information can be improved.

An audio generator is provided for generating an audio signal from a bitstream that represents the audio signal that is subdivided in a sequence of frames. The audio generator includes a first data provisioner that provides, for a given frame, first data derived from an input signal; and a first processing block that, for the given frame, receives the first data and to output first output data in the given frame.

The invention relates to the technical field of echo detection, in particular to an active sonar echo detection method, which comprises the steps of collecting active sonar reverberation data; constructing an active sonar channel, and generating reverberation data of a target echo; extracting target echo signal features by using matched filtering; a classification model of an improved SwinTransform is constructed, pooling, full connection and residual structures are constructed behind a Patch Merge layer of a hierarchical model of different stages, a transient target peak value in a reverberation background is highlighted, and time-frequency correlation characteristics of reverberation and a target are captured. According to the method, the problem that the accuracy of predicting whether a target exists or not by using sonar echoes through a Swin Transformer model needs to be further improved is solved.

The present disclosure provides an earphone comprising a sound production component and an ear hook. In a wearing state, the ear hook is configured to place the sound production component at a position near an ear canal but not blocking the ear canal. An inner contour of the ear hook's projection on a user's sagittal plane includes a first curve having an extremum point in a first direction. The first direction is perpendicular to a long-axis direction of a projection of the sound production component on the sagittal plane. The extremum point is located behind a projection point of an upper vertex of the ear hook on the sagittal plane, and the upper vertex is a highest point of an inner contour of the ear hook along the user's vertical axis. An inclination angle of the long-axis direction relative to a horizontal direction is within a range of 13°-21°.

A foam earplug for reception at least partially within the ear canal and including a body portion formed of resilient foam plastic material having a multiple open cell structure and having a size and shape for at least partial reception within the ear canal. A transdermal material having a particular beneficial action, and with an outer layer of the foam earplug infused with the transdermal material so that the benefits of the transdermal material is in transdermal contact with the ear canal. One example is a humectant material and, specifically, a moisturizer / lubricating material, for providing an increase to the lubrication and moisturizing in the ear canal. A second example is where the beneficial action is provided by systemic distribution such as a sleep aid, i.e., Melatonin, so that when the earplugs are worn during sleep, the earplugs will provide a sleep aid to the wearer.