2759results about "Active noise control" patented technology

Introduced here is a wearable audio system including modular ear-cup and ear-bud that can be attached and detached to the user together, or independently of each other. Further, the modular ear-cup and ear-bud can operate together, or independently of each other. The wearable audio system can perform active noise cancellation by measuring noise inside the ear-cup and / or the ear-bud, computing the noise canceling sound, and forwarding the noise canceling sound to a speaker inside the ear-cup and / or the ear-bud. The wearable audio system can be wirelessly charged while operating, thus allowing the user to continuously listen to music more than previously possible. The wearable audio system can optimize power consumption by redistributing power intensive tasks to power sources with the highest amount of power. Further, the ambient sound outside the ear-cup can be measured and played by the speakers in the earbud allowing the user to hear the surrounding environment.

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.

Various implementations include audio devices and methods for noise reduction control in wearable audio devices and / or vehicle audio systems. Certain implementations include a non-occluding wearable audio device having: at least one electro-acoustic transducer; at least one microphone; and a control system coupled with the at least one electro-acoustic transducer and the at least one microphone, the control system programmed to: adjust an active noise reduction (ANR) setting for audio output to the at least one electro-acoustic transducer in response to detecting use of the non-occluding wearable audio device in a vehicle.

Various implementations include a method of training a road noise cancelation (RNC) system for a vehicle, including: providing inputs to RNC system, the inputs obtained from: a set of ear-mounted microphones on a user, at least one transducer, an accelerometer, a set of cabin microphones in the vehicle, and a controller area network (CAN) bus, the inputs from the set of ear-mounted microphones on the user approximating a signal detected by the ears of the user; adapting a set of parameters in the RNC system defining an estimated signal detected at respective ears of the user based on the inputs; and generating at least one of the following for input during an operating mode of the RNC system: estimated ear microphone signals based on the adapted set of parameters, or a set of projection filters for use in determining an estimated ear signal at the respective ears of the user.

A hearing system comprises a hearing device, e.g. a hearing aid or a headset, configured to be worn by a user. The hearing device comprises at least one input transducer for providing at least one electric input signal representative of sound in the environment of the hearing device, wherein said at least one electric input signal comprises a target signal component assumed to be of current interest to the user, and a noise component. The hearing device further comprises a noise control system configured to provide an estimate of said target signal component and an estimate of said noise component and to apply a statistical structure to said noise component to thereby provide a modified noise component comprising said statistical structure; and to determine a modified estimate of said target signal component in dependence of said modified noise component. Thereby an improved segregation of sound sources may be provided.

Automated attention handling techniques are described herein for use with wearable audio components with active noise control (ANC) to suppress ambient sound. A name embedding model is trained automatically to convert name audio samples into acoustic segments based on a knowledge distillation model. The name embedding model is used to generate reference embeddings for each of a user-enrolled set of names, and a relation network and a false rejection network are also trained. In real-time operation, the name embedding model converts real-time audio samples to real-time embeddings, the relation network compared the real-time embeddings to the reference embeddings to look for candidate matches, and the false rejection network validates the candidate matches to detect when one of the user-enrolled names has been invoked. Detecting such an invocation automatically triggers the ANC to switch to a conversation mode.

Automated attention handling techniques are described herein for use with wearable audio components with active noise control (ANC) to suppress ambient sound. A name embedding model is trained automatically to convert name audio samples into linguistically distinct name classifications and / or unified audio samples. The name embedding model is used to generate reference embeddings for each of a user-enrolled set of names, and a relation network and a false rejection network are also trained. In real-time operation, the name embedding model converts real-time audio samples to real-time embeddings, the relation network compared the real-time embeddings to the reference embeddings to look for candidate matches, and the false rejection network validates the candidate matches to detect when one of the user-enrolled names has been invoked. Detecting such an invocation automatically triggers the ANC to switch to a conversation mode.

The invention relates to the technical field of audio noise reduction, in particular to a multi-scene adaptive noise reduction method and system for audio terminal equipment. The method comprises the following steps: identifying a real-time environmental sound signal; environment noise source identification is carried out on the real-time environment sound signal, noise distribution perception modeling is carried out, and an environment noise distribution field is constructed; performing current scene noise change analysis on the environment noise distribution field, performing dynamic noise distribution rendering, and constructing a dynamic noise scene model; performing hedging suppression parameter calculation based on the dynamic noise scene model, performing adaptive noise suppression processing, and constructing an adaptive noise suppression strategy; acquiring an audio input signal of a user; and performing local audio gain processing on an audio input signal of a user, and performing multi-band decomposition to generate an audio frequency parameter of each band. The stability and the accuracy of the noise reduction effect are improved, so that the practicability and the adaptability of the audio terminal equipment are enhanced.

Automated attention handling techniques are described herein for use with wearable audio components with active noise control (ANC) to suppress ambient sound. A name embedding model is trained automatically to convert name audio samples into linguistically distinct name classifications and / or unified audio samples. The name embedding model is used to generate reference embeddings for each of a user-enrolled set of names, and a relation network and a false rejection network are also trained. In real-time operation, the name embedding model converts real-time audio samples to real-time embeddings, the relation network compared the real-time embeddings to the reference embeddings to look for candidate matches, and the false rejection network validates the candidate matches to detect when one of the user-enrolled names has been invoked. Detecting such an invocation automatically triggers the ANC to switch to a conversation mode.

Meta cells can show both passive material and meta properties (ie, hybrid properties) and multifunctional acoustic metamaterial panel comprising at least one hybrid meta cell in order to decrease the transmission of sound waves and / or attenuate sound waves in a desired narrow or wide frequency band.

A sound system for a vehicle is configured to implement a soundscape that matches an environment around the vehicle. The sound system includes a noise meter that measures environmental noise generated around the vehicle, a vibration meter that measures vibration generated by the vehicle, and a processor connected with the noise meter and the vibration meter. The processor determines a noise type by analyzing features of the vibration and the environmental noise respectively measured by the vibration meter and the noise meter, selects a sound source matched with the noise type among sound sources previously stored in a database, and plays and outputs the selected sound source.

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 invention discloses an active noise control method and system of self-adaptive combined weights. The method comprises the following steps: pre-training a control filter; inputting a signal acquired by the reference microphone into each control filter to obtain an output signal; weighted summation is carried out on the combined weight and the output of all the control filters to generate a control signal, so that a loudspeaker is driven to send out an anti-noise signal to cancel interference, and residual noise is collected and fed back by an error microphone; and the instantaneous square error is minimized through an LMS algorithm, the combined weight is iteratively updated, and a quiet area is formed near an error microphone. The method has the characteristic of rapid convergence, achieves good balance between calculation complexity and noise reduction performance, can rapidly adapt to a changing noise environment, and remarkably improves the noise reduction effect and application flexibility of an active noise control system.

In one embodiment, an eyewear frame for a user includes at least a front portion with two side portions; two speakers, one in each side portion; a connection region at one side portion, with an electrical connector having two conductive pads to connect to corresponding conductive contacts of a counterpart connector; a rechargeable battery; a microphone in the frame; and wireless communication circuitry in the frame. The connection region can be provided at an inside surface of one of the side portions. The eyewear frame can also include a touch-sensitive input surface on the eyewear frame configured to provide an input to the frame to perform a function. Another embodiment includes a headset with an electrical connector having a conductive pad to connect to a corresponding conductive contact of a counterpart connector. The headset can also include an area for attachment via magnetic force.

An apparatus is described herein related to detecting and processing silent speech. The apparatus comprises a head-mountable device and at least one ear-mountable device, wherein the ear-mountable devices are configured to selectively pick up both head-internal and head-externals sounds, thus enabling silent speech to be detectable and wherein the head-mountable device comprises an eye tracking unit capable of determining a gaze dwell of a user of the device, thus enabling silent speech commands to be directed at objects subject to a gaze dwell, or enabling speech or audio originating from an interlocutor who is subject to a gaze dwell to be selectively enhanced. Methods are described herein relate to the application of semantic intent derived from a silent speech to real-word objects which are subject to a gaze dwell by a user.

Disclosed are a method, system, and apparatus of adaptive mission strategy optimization through ai-generated ambient recommendations for tactical command. According to one embodiment, the method includes simultaneously listening to multiple communications surrounding a wearer, amplifying a human speech detected in the multiple communications through a wearable microphone, and using an artificial intelligence model to generate a tactical recommendation to the wearer through a mobile device accessible to the wearer.

One example method includes performing sound quality operations. Microphone arrays are used to cancel background noise and to enhance speech. With arrays at each environment of each user participating in a call, a first microphone array can cancel or suppress background noise and a second array can generate enhanced speech for transmission to other users. Thus, for user, the audio signal output by the user's device includes an anti-noise signal to cancel background noise present in the user's environment and enhanced speech from other users.

The multifunctional acoustic device is formed by periodically arranging unit cells in the horizontal direction, and each unit cell comprises an upper frame body, a lower frame body and a vibration absorption sandwich layer located between the upper frame body and the lower frame body; the upper frame body is provided with a through hole; the vibration absorption sandwich layer comprises a central cantilever beam located at the transverse center position, a sandwich plate surrounding the periphery of the central cantilever beam and fixed between the upper frame body and the lower frame body, and vibrator mass blocks arranged above and below the central cantilever beam; the sandwich plate is connected with the central cantilever beam through a plurality of L-shaped beams; and the plurality of L-shaped beams surround the periphery of the central cantilever beam. The lattice sandwich structure is used as a basic frame, a local resonance system with a spring mass part is formed, a sub-wavelength elastic wave band gap frequency band is obtained, a low-frequency vibration reduction effect is generated, holes are formed in the upper frame body, the remaining part in the structure is used as an air spring, a Helmholtz resonant cavity is formed, and meanwhile low-frequency vibration reduction and broadband sound absorption are achieved.

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 embodiments of the present application are applied to the field of audio signal processing. Disclosed are a noise cancellation method, a noise cancellation apparatus and a noise cancellation system. The method in the embodiments of the present application is applied to a first device, which comprises a noise source. The method comprises: acquiring target noise cancellation parameters, which are obtained by performing calculation on the basis of at least one noise signal, wherein the at least one noise signal is noise from a noise source that is collected at a target location by at least one pickup device, and the target noise cancellation parameters are used for indicating ambient information of the target location; and on the basis of the target noise cancellation parameters, processing the noise from the noise source to generate an anti-noise signal, wherein the anti-noise signal and the noise from the noise source have the same frequency but opposite phases. The embodiments of the present application can improve the targeted active noise cancellation effect in open spaces.

Provided in the present invention are an abnormal-sound detection method and system based on diffusion denoising for an air conditioner outdoor unit. The method comprises: acquiring normal operation sound data of an air conditioner outdoor unit and interference sound data in an environment where air conditioner detection is performed; pre-processing the sound data to obtain respective time-frequency features; training a Gaussian mixture model on the basis of the time-frequency feature of the interference sound data, obtaining the data distribution thereof to perform random sampling, and superimposing, onto the time-frequency feature of normal sound data of an air conditioner, sound data sampled from the data distribution, so as to obtain fifth sound data and a corresponding sampling step label; training a neural network model by means of the normal operation sound data of the air conditioner outdoor unit and the fifth sound data, so as to obtain a trained anti-interference abnormal-sound detection model for an air conditioner outdoor unit; and acquiring operation sound data to be subjected to detection of the air conditioner, pre-processing same, and then inputting same into the trained abnormal-sound detection model for an air conditioner, so as to determine whether an operation sound of the air conditioner is abnormal. The present application improves the anti-interference performance of a detection algorithm and the air conditioner outdoor unit detection efficiency, thereby reducing the labor cost.

A wearable device may be worn in an ear of a user. The wearable device may include a biometric sensor that collects biometric information from the ear, and an environmental sensor that collects environmental information from the ear. The wearable device may receive the biometric information from the biometric sensor, and the environmental information from the environmental sensor, and send biofeedback determined from the biometric information, and an environmental condition determined from the environmental information, wirelessly to a communication device. Other embodiments are disclosed.

An audio system for a vehicle includes a microphone focused on a first designated location of a first person with respect to the vehicle, a camera with a field of view encompassing the first designated location, an output device directed to a second designated location of a second person with respect to the vehicle, and a computer communicatively coupled to the microphone, the camera, and the output device. The computer is programmed to generate first text in a first language based on input audio data from the microphone and video data from the camera, translate the first text to second text in a second language, and instruct the output device to output the second text.

A sound masking apparatus and method are provided. The sound masking apparatus includes a sensing device that measures image information and biometric information of a passenger in a vehicle. The apparatus also includes a controller connected with the sensing device. The controller determines a sleep state of the passenger based on the biometric information and determines whether the passenger is disturbed in sleep based on the image information in the sleep state of the passenger. The controller measures noise in the vehicle in response to determining that the passenger is disturbed in sleep and determines whether there is a need for sound masking based on the measured noise. The controller performs the sound masking based on the sleep state in response to determining that there is the need for the sound masking.

A computer-implemented method for generating crosstalk cancellation (CTC) filters for a reverberant acoustic environment having multiple audio zones, the method comprising determining, based on a CTC simulation model of an acoustic environment, a first set of frequency responses for respective positions proximate to one or more speakers located in the acoustic environment, and a second set of frequency responses for respective listening positions in the acoustic environment, generating, based on the first set of frequency responses and the second set of frequency responses, an acoustic environment transfer function matrix for the acoustic environment, and generating, based on the acoustic environment transfer function matrix, a set of CTC filters for a set of speakers in the acoustic environment.

The present invention relates to a broadband sound absorption device using area division, the device comprising: Helmholtz resonators including a neck portion and a cavity portion connected to the neck portion and having a predetermined area and thickness; and a unit sound absorber including at least one pair of the Helmholtz resonators, wherein a plurality of unit absorbers are arranged on a plane or curved surface, and the plurality of sound unit absorbers are formed to have cavity portions with different areas to minimize the thickness while enabling sound absorption for a wider band.

The embodiment of the invention discloses a noise reduction regulation and control method and device for a self-adaptive sound barrier and a medium, and relates to the technical field of noise reduction, and the method comprises the steps: collecting multi-source vehicle noise data which comprises current sound pressure signal time sequence data, preposed sound pressure signal time sequence data and preposed vehicle point cloud data, according to the front sound pressure signal time sequence data and the front vehicle point cloud data, determining a noise source position prediction result corresponding to a sound barrier front node so as to perform sound field prediction on the sound barrier node, and determining a corresponding sound field energy distribution thermodynamic diagram; according to a preset sensitive frequency band threshold value, a target noise high-frequency band needing to be offset is determined in the sound field energy distribution thermodynamic diagram, so that a reverse sound wave signal corresponding to a phase array offset module is generated, and the target noise high-frequency band is offset; and according to the current sound pressure signal time sequence data and the reinforcement learning strategy, determining dynamic sound absorption regulation and control parameters of the dynamic sound absorption module so as to absorb a low-frequency band.

The invention relates to the technical field of noise reduction seats, in particular to a subway cab active noise reduction system and method based on a multi-channel feedback algorithm. The device comprises a headrest shell, the headrest shell is installed at the top of a seat of a metro cab through a headrest support, a loudspeaker, an error sensor and a master controller are arranged in the headrest shell, and the headrest shell is sequentially provided with a front shell, a rear shell and a long-strip-shaped check block; the headrest supports are correspondingly installed in the long-strip-shaped check blocks on the two sides of the headrest shell respectively and move up and down along the long-strip-shaped check blocks, and the height of the headrest shell is adjusted. The loudspeakers are tightly attached to the ears of a driver at certain intervals; the error sensor forms a rhombic array covering a vertical range of 10cm; and the main controller is fixed on the front shell through the notch of the rear shell. According to the invention, the parameters of the main acquisition filter and the auxiliary acquisition filter of the main controller are adjusted according to the error signal to continuously adapt to the complex and changeable noise environment in the subway cab, so that stable and efficient active noise reduction is realized.

The invention provides a broadband sound absorption structure suitable for undercarriage cabin door noise reduction and a design method, and belongs to the field of aircraft noise reduction. The sound absorption structure comprises a plurality of perforated plate type Helmholtz cavity unit cells and a plurality of embedded pipe type Helmholtz cavity unit cells. In the perforated plate type unit cells, one or more first through holes are formed in the perforated plate. And in the embedded pipe type unit cells, the embedded pipes penetrate through the perforated holes in the perforated plates and extend into the cavities. Cavities of the two single cells face the same direction, and the perforated plate forms a curved surface conformal with an undercarriage cabin door. The effective length of the neck of the perforated plate is increased by using the embedded pipe, the low-frequency sound absorption performance is improved, the sound absorption performance and the sound absorption bandwidth of the middle-frequency band are improved by using the perforated plate type Helmholtz cavity, meanwhile, the curved surface conformal design is highly matched with the special-shaped cabin door structure, and the sound absorption performance is improved. The low-frequency and medium-frequency sound absorption performance can be guaranteed, and meanwhile the light and thin requirements of an aircraft can be met; and a pure passive mechanical structure is adopted, so that the control complexity and stability risks of an active noise reduction system can be avoided.