1088results about "Hearing device active noise cancellation" patented technology

The invention relates to the technical field of audio noise reduction, and discloses a Bluetooth headset environment noise adaptive adjustment method and system, and the method comprises the steps: collecting multi-band sound data of headset environment noise through a preset acoustic sensor array, generating a noise spectrogram, extracting a noise masking threshold through time-frequency joint analysis, and collecting a headset audio signal; next, noise suppression is carried out on the audio signal by using a multi-order digital filter bank to obtain a primary noise reduction signal, the primary noise reduction signal is optimized into an optimized noise reduction signal based on a signal-to-noise ratio, and the frequency response matching degree of the optimized noise reduction signal and the original audio signal is calculated; then, performing phase correction and amplitude-frequency equalization processing according to the frequency response matching degree to obtain an audio equalization parameter; and finally, monitoring residual noise energy based on the parameter, generating a noise regulation and control instruction, driving adaptive sampling, and generating an adaptive noise reduction scheme. According to the invention, the audio noise reduction effect of the Bluetooth earphone can be improved.

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.

Disclosed are systems and methods for adaptive noise cancellation (ANC) at a virtual microphone located at the eardrum of a wearer of an earphone. The techniques estimate the level of leakiness of ambient noise in the earphone from the magnitude of the gain of the transfer function of the feed forward loop filter of the ANC. Based on the estimated leakiness, the techniques estimate the transfer function of the feed forward loop filter to compensate for the difference in the effect of noise cancellation at the virtual microphone and error microphone. A bias term that represents the difference in the frequency response of the attenuated noise at the virtual and error microphone may be added to the adaptive feed forward algorithm. The ANC operation may apply the bias term to the adaptive feed forward loop filter to reduce the ambient noise at the eardrum rather than at the error microphone.

The disclosure generally relates to a method, system and apparatus to improve a user's understanding of speech in real-time conversations by processing the audio through a neural network contained in a hearing device. The hearing device may be a headphone or hearing aid. In one embodiment, the disclosure relates to an apparatus to enhance incoming audio signal. The apparatus includes a controller to receive an incoming signal and provide a controller output signal; a neural network engine (NNE) circuitry in communication with the controller, the NNE circuitry activatable by the controller, the NNE circuitry configured to generate an NNE output signal from the controller output signal; and a digital signal processing (DSP) circuitry to receive one or more of controller output signal or the NNE circuitry output signal to thereby generate a processed signal; wherein the controller determines a processing path of the controller output signal through one of the DSP or the NNE circuitries as a function of one or more of predefined parameters, incoming signal characteristics and NNE circuitry feedback.

The disclosure generally relates to a method, system and apparatus for processing audio through a neural network contained in a hearing device. In one embodiment, the disclosure relates to an apparatus to enhance incoming audio signal. The apparatus includes a controller to receive an incoming signal and provide a controller output signal; neural network engine (NNE) circuitry in communication with the controller, the NNE circuitry activatable by the controller, the NNE circuitry configured to generate an NNE output signal from the controller output signal; and digital signal processing (DSP) circuitry to receive one or more of controller output signal or the NNE circuitry output signal to thereby generate a processed signal; wherein the controller determines a processing path of the controller output signal through one of the DSP or the NNE circuitries as a function of one or more of predefined parameters, incoming signal characteristics and NNE circuitry feedback.

The disclosure generally relates to a method, system and apparatus to improve a user's understanding of speech in real-time conversations by processing the audio through a neural network contained in a hearing device. The hearing device may be a headphone or hearing aid. In one embodiment, the disclosure relates to an apparatus to enhance incoming audio signal. The apparatus includes a controller to receive an incoming signal and provide a controller output signal; a neural network engine (NNE) circuitry in communication with the controller, the NNE circuitry activatable by the controller, the NNE circuitry configured to generate an NNE output signal from the controller output signal; and a digital signal processing (DSP) circuitry to receive one or more of controller output signal or the NNE circuitry output signal to thereby generate a processed signal; wherein the controller determines a processing path of the controller output signal through one of the DSP or the NNE circuitries as a function of one or more of predefined parameters, incoming signal characteristics and NNE circuitry feedback.

The disclosure generally relates to a method, system and apparatus to improve a user's understanding of speech in real-time conversations by processing the audio through a neural network contained in a hearing device. The hearing device may be a headphone or hearing aid. In one embodiment, the disclosure relates to an apparatus to enhance incoming audio signal. The apparatus includes a controller to receive an incoming signal and provide a controller output signal; a neural network engine (NNE) circuitry in communication with the controller, the NNE circuitry activatable by the controller, the NNE circuitry configured to generate an NNE output signal from the controller output signal; and a digital signal processing (DSP) circuitry to receive one or more of controller output signal or the NNE circuitry output signal to thereby generate a processed signal; wherein the controller determines a processing path of the controller output signal through one of the DSP or the NNE circuitries as a function of one or more of predefined parameters, incoming signal characteristics and NNE circuitry feedback.

A system for presenting audio content to a user. The system comprises one or more microphones coupled to a frame of a headset. The one or more microphones capture sound from a local area. The system further comprises an audio controller integrated into the headset and communicatively coupled to an in-ear device worn by a user. The audio controller identifies one or more sound sources in the local area based on the captured sound. The audio controller further determines a target sound source of the one or more sound sources and determines one or more filters to apply to a sound signal associated with the target sound source in the captured sound. The audio controller further generates an augmented sound signal by applying the one or more filters to the sound signal and provides the augmented sound signal to the in-ear device for presentation to a user.

To provide headphones with an improved noise canceling function and the like.Headphones include a headband, a housing, an ear pad attached to the housing, a hanger that supports the housing, and a slider that connects the hanger to an end portion of the headband. The headphones further include a microphone arranged at a place of the housing outside a movable range of the hanger. The housing includes a case that covers a movable range of the hanger. The hanger and the microphone are arranged in the same space formed in the housing on an outer peripheral side of the hanger.

A method for providing navigation assistance using a head-worn device that has a camera, several microphones, and several speakers. The method captures sound in an environment as a plurality of microphone audio signals, captures, using the camera, a scene of the environment as a digital image, and processes the digital image to detect an object therein. The method selects, in response to the detection of the object, one of several navigation audio rendering modes. The several navigation audio rendering modes include a first mode that activates an acoustic transparency function to cause the speakers to reproduce the sound of the environment, a second mode that sonifies the object and activates the acoustic transparency function, and a third mode that sonifies the object, partially activates the acoustic transparency function, and an activates active noise cancellation function.

In aspects of ending active noise cancellation based on a detected audio source, a mobile device implements an audio playback manager that detects a headset employing active noise cancellation (ANC) of audio in communication with a mobile device in an environment of the mobile device. The audio playback manager receives a selection of at least one audio source that triggers adjustment of the ANC and detects sound originating from the at least one audio source that triggers adjustment of the ANC. Based on detecting the sound originating from the at least one audio source, the audio playback manager adjusts the ANC.

An example MR headset is provided. The example MR headset comprises (i) a set of imaging sensors and (ii) a set of floodlight-emitting diodes (flood LEDs), the sets of imaging sensors and flood LEDs disposed along a front-facing portion of the MR headset. The MR headset includes one or more processors configured to, while the MR headset is being caused to present MR content, and in accordance with a determination that imaging data obtained from the set of imaging sensors has an insufficient level of detail to identify hand gestures, cause illumination, using one or more flood LEDs of the set of flood LEDs, of a volume of physical space that includes the hand of the user.

An active noise cancellation (ANC) method applied to a headset includes obtaining a first group of filtering parameters, and performing noise cancellation using the first group of filtering parameters. The first group of filtering parameters is one of N1 groups of filtering parameters prestored in the headset. The N1 groups of filtering parameters are respectively used to perform noise cancellation on ambient sound in N1 leakage states. The N1 leakage states are formed by the headset and N1 different ear canal environments. N1 is a positive integer greater than or equal to two.

The disclosure generally relates to a method, system and apparatus to improve a user's understanding of speech in real-time conversations by processing the audio through a neural network contained in a hearing device. The hearing device may be a headphone or hearing aid. In one embodiment, the disclosure relates to an apparatus to enhance incoming audio signal. The apparatus includes a controller to receive an incoming signal and provide a controller output signal; a neural network engine (NNE) circuitry in communication with the controller, the NNE circuitry activatable by the controller, the NNE circuitry configured to generate an NNE output signal from the controller output signal; and a digital signal processing (DSP) circuitry to receive one or more of controller output signal or the NNE circuitry output signal to thereby generate a processed signal; wherein the controller determines a processing path of the controller output signal through one of the DSP or the NNE circuitries as a function of one or more of predefined parameters, incoming signal characteristics and NNE circuitry feedback.

A loudspeaker assembly and a headphone are provided. The headphone includes a housing assembly, a bone-conduction core module, and an air-conduction core module, and an accommodation space. The bone-conduction core module is provided in the accommodation space and vibrates in a first vibration direction, the air-conduction core module is provided in the accommodation space, and the bone-conduction core module and the air-conduction core module are arranged along the first vibration direction and face each other. In the above manner, the present disclosure reduces the influence of the air-conduction core module on the vibration effect of the bone-conduction core module, increases the sound volume, and improves the bone-conduction effect of the loudspeaker assembly, thereby improving the sound quality effect of the loudspeaker assembly.

Systems and methods for annotating, also known as tagging, visually identifiable objects using natural language (i.e. spoken voice) are provided. More specifically, but not exclusively, this disclosure relates to systems and methods for tagging identified objects related to underground utilities and assets, and communication systems. Once tagged, data representing identified objects can be stored, transmitted, and / or mapped. In an exemplary embodiment, a utility service worker or other personnel may walk or drive around an area of interest using utility locating equipment or systems to collect data. As data is being collected, the user may visually identify utility related or other items using a laser pointer, and then use their voice to tag items of interest. A headset including a microphone may be provided for capturing the user's voice. Hardware and / or software may be provided for processing tagged items, and relating them to a specific location, and / or utility asset.

Techniques and apparatuses are described that perform active acoustic sensing. Provided according to one or more preferred embodiments is a hearable, such as an earbud, that is capable of performing a novel physiological monitoring process termed herein audioplethysmography, an active acoustic method capable of sensing subtle physiologically-related changes observable at a user's outer and middle ear. Instead of relying on other auxiliary sensors, such as optical or electrical sensors, audioplethysmography involves transmitting and receiving acoustic signals to monitor a user's biometrics, recognize facial behaviors, and / or sense an environment. In addition to being relatively unobtrusive, some hearables can be configured to support audioplethysmography without the need for additional hardware. As such, the size, cost, and power usage of the hearable can help make health monitoring accessible to a larger group of people and improve the user experience with hearables.

A wearable audio output device (e.g., headphones) having an open design that allows ambient noise to pass to a listener without physically isolating the listener from a surrounding environment. The device may include an open earcup design that may partially or completely surround the listener's ear, and in some examples a portion of the listener's head may be uncovered by the open earcup. To improve comfort, the device includes a floating audio component configured to generate output audio in a direction of the listener's ear without contacting the listener's ear. To reduce audio leakage into the environment, the floating audio component may include two audio transducers and perform beamforming to target the output audio toward the listener's ear and cancel the output audio in other directions. For example, the beamforming may cause constructive interference in one direction and destructive interference in all other directions.

This disclosure relates in general to microphone arrangement of a wearable head device.

In aspects of ending audio playback based on a trigger word, a mobile device implements an audio playback manager that detects a headset in communication with a mobile device, the headset causing active noise cancellation (ANC) and outputting audio playback communicated from the mobile device. The audio playback manager detects a trigger word that is audible in an environment of the mobile device. In response to detecting the trigger word, the audio playback manager ends the audio playback and adjusts the ANC of the headset.

An earphone, including: a housing, a first speaker unit, a second speaker unit. The housing has a sound output hole. The first speaker unit and the second speaker unit are separately independently fastened in the housing. The first speaker unit produces a sound toward the sound output hole. The second speaker unit is located on a side that is of the first speaker unit and that is away from the sound output hole and is spaced apart from the first speaker unit. A sound production frequency of the second speaker unit is smaller than a sound production frequency of the first speaker unit. A cavity is enclosed by the first speaker unit, the second speaker unit, and an inner wall of the housing, the cavity serves as a front cavity of the second speaker unit, and the front cavity communicates with the sound output hole through a sound output channel.

Techniques and apparatuses are described for performing internal-noise-source filtering for active acoustic sensing. With internal-noise-source filtering (202), interference caused by a hearable (102) performing other operations (e.g., rendering audio content (204), performing active noise cancellation (206), or operating in accordance with a transparency mode (214)) can be attenuated within a received ultrasound signal to improve sensitivity and accuracy for audioplethysmography. This performance improvement enables audioplethysmography to be performed while the hearable (102) performs these other operations. Furthermore, it improves the ability of audioplethysmography to be used for voice processing, which can include voice activity detection, speech recognition, and / or conversation detection.

Embodiments of this application disclose a noise cancellation apparatus and method. The noise cancellation apparatus includes a main control unit and a noise cancellation processing circuit. The main control unit determines a noise cancellation parameter based on a noise cancellation level index or a feature value for determining a matching degree between a headset and an ear canal of a user. The noise cancellation processing unit obtains an inverse phase noise of an ambient noise based on the noise cancellation parameter. After the inverse phase noise is mixed with a played downlink audio signal, the ambient noise can be canceled. In addition, because the noise cancellation parameter is determined from a preset noise cancellation parameter library based on the received or autonomously determined noise cancellation level index, instead of being uniformly configured, a noise cancellation level can be flexibly adjusted.

In certain aspects, an active noise control (ANC) method and system for a headphone are disclosed. It is determined whether a music signal is played by a speaker of the headphone. Responsive to the music signal not being played by the speaker and a noise level of an ambient noise signal being greater than a noise threshold, a set of noise feedforward (FF) signals is obtained based on a set of FF microphone signals acquired by a set of FF microphones of the headphone. A noise feedback (FB) signal is obtained based on a first FB microphone signal acquired by a FB microphone of the headphone. A set of leakage monitoring parameters is obtained based on the set of noise FF signals and the noise FB signal. A set of FF filter parameters for a set of FF filters is adjusted based on the set of leakage monitoring parameters.

A control method of an electronic apparatus for generating anti-noise for acoustic noise cancellation (ANC) is provided. The method includes obtaining audio data and metadata of the audio data, classifying the audio data into a plurality of audio clusters based on at least one of a feature of the audio data or a feature of the metadata, identifying whether each audio cluster of the plurality of audio clusters is included in a local database corresponding to the location information of a place where the audio data is obtained, based on the at least one of the plurality of the audio clusters being not included in the local database, updating the local database by adding information regarding the audio cluster that is not included in the plurality of noise clusters to information regarding the plurality of noise clusters and generating anti-noise data based on the information regarding the local database which is updated.

Methods, systems, computer-readable media, devices, and apparatuses for synchronized mode transitions are presented. A first device configured to be worn at an ear includes a processor configured to, in a first contextual mode, receive a first mode change request from a second device to transition at a first time to a second contextual mode. The first mode change request is based on detection of a trigger condition. The processor is further configured to, at the first time, transition from the first contextual mode to the second contextual mode based on the first mode change request.

The invention discloses an earphone call noise reduction method and an earphone, and the method comprises the steps: obtaining a first sound signal inside an ear through a first microphone of the earphone, obtaining a second sound signal outside the ear through a second microphone of the earphone, and carrying out the call noise reduction based on a second audio frame corresponding to the second sound signal. Carrying out adaptive filtering processing on a first audio frame corresponding to the first sound signal to obtain a third audio frame, then respectively adjusting the third audio frame and the second audio frame according to attribute information of the third audio frame to obtain an in-ear result sound signal and an out-of-ear result sound signal, and carrying out signal fusion processing to obtain an in-ear result sound signal and an out-of-ear result sound signal; and generating a to-be-output target sound signal according to a signal fusion processing result. The attribute information comprises the noise existence information, the interference voice existence information and the target voice existence information, so that noise reduction processing is performed according to the actual existence conditions of the noise and the interference voice, the noise reduction effect is optimized, and the call quality of the earphone is improved.

Disclosed herein are systems and methods for power transmission between playback devices, systems and methods for energy harvesting and distribution for audio playback devices, and systems and methods for wirelessly powering wearable audio playback devices.

The utility model relates to the technical field of audio equipment, in particular to a sound output device. The sound output device comprises a shell, a first support microphone and a first loudspeaker. The shell is provided with an accommodating space; the first bracket is fixed in the accommodating space of the shell and comprises a first surface and a second surface which are arranged back to back; the microphone is fixed on the first surface; the first loudspeaker is fixed on the second face, and the microphone, the first support and the first loudspeaker are stacked in the first direction. The microphone and the first loudspeaker are respectively fixed through the first support, the influence of the first support on the earphone in the first direction is small, the size of the earphone in the first direction is reduced, the structural compactness of the earphone is improved, assembly is convenient, and the accuracy and consistency during earphone assembly are improved.

Techniques and devices for performing internal noise source filtering for active acoustic sensing are described. With internal noise source filtering (202), interference caused by the hearing-worn device (102) performing other operations (e.g., rendering audio content (204), performing active noise cancellation (206), or operating according to a pass-through mode (214)) may be attenuated within the received ultrasound signal to improve the sensitivity and accuracy of audio volumetric tracing. This performance improvement enables audio plethysmography to be performed when the audible wearable device (102) performs these other operations. Further, it improves the ability of audio plethysmography for speech processing, which may include speech activity detection, speech recognition, and / or dialog detection.