2010results about "Active noise control" 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.

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.

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.

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.

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.

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.

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.

Engine order cancellation (EOC) systems generate feedforward noise signals based on engine or other rotating shaft RPM and use those signals and an adaptively configured W filter to reduce SPL in the vehicle cabin by emitting anti-noise via speakers. An EOC system can include a signal analysis controller for detecting non-stationary events such as speech based on parameters sampled from a current frame of an error signal output from microphones positioned at various locations of a vehicle passenger cabin. Upon detection, the signal analysis controller can mitigate the effects of the non-stationary event to prevent the EOC system from increasing noise or causing a post-echo in the passenger cabin that sounds like speech. For example, if speech is detected in a frame, adaptation can be frozen during the frame. Alternatively, the signal analysis controller can adaptively subtract a speech signal from the error microphone signal.

The invention discloses an intelligent noise reduction method and system based on a mine earphone, and the method comprises the following steps: S1, obtaining an original noise signal in a mine operation environment, and carrying out the preprocessing of the original noise signal; s2, designing an adaptive compensation mechanism according to the reflection characteristics of the closed space of the mine, calculating a sound wave propagation attenuation coefficient and reflection delay, constructing a roadway reverberation model, and generating advanced compensation sound waves; and S3, carrying out collaborative fusion on the advanced compensation sound wave and a main noise reduction signal to generate a composite noise reduction signal. The invention relates to the technical field of intelligent noise reduction. According to the intelligent noise reduction method and system based on the mine earphone, the noise level in a mine operation environment is effectively reduced, the communication efficiency and the working comfort of operators are improved, potential damage of noise to hearing of the operators is reduced, and therefore the overall safety and the production efficiency of mine operation are improved.

The invention belongs to the technical field of converter transformers, and particularly discloses a converter transformer vibration noise control method and system, a terminal and a medium, and the method comprises the steps: constructing a converter transformer structure geometric model, setting material attributes, and carrying out the grid division; based on the geometric model, establishing an electromagnetic field simulation model, applying excitation conditions, obtaining electromagnetic field distribution, establishing an iron core magnetostriction mathematical model, calculating vibration acceleration caused by magnetostriction and transient electromagnetic force of an iron core and a winding, and solving and extracting a displacement field and stress-strain response; establishing an acoustic coupling model on the basis of a structure vibration result, and calculating sound pressure level distribution under different frequencies by setting a structure-air coupling boundary and a matching layer; according to an acoustic simulation result, an iron core positioning structure and an oil tank reinforcing rib arrangement mode are optimized, vibration noise prediction and control of the converter transformer in a multi-harmonic excitation environment are realized, and equipment structure stability, operation reliability and environment adaptability are improved.

Aspects of the present disclosure provide techniques, including devices and system implementing the techniques, to provide feedback to a user of an event when the user is wearing a wearable device. For example, the wearable device may provide high quality noise canceling audio playback to the user, lowering the user's situation awareness. The techniques include measuring ambient sound using two or more microphones on the wearable device. The measured ambient sound is used to determine a related event worth relaying to the user. Based on the location attribute and sound properties, the nature and / or classification of the event may be ascertained using pattern recognition algorithms according to user threshold settings. Insignificant events that the user prefers to ignore will be ruled out by the algorithm. Upon determining the event that merits the user's attention, the wearable device provides feedback to the user indicating the nature and location of the event.

The invention relates to the technical field of crushing noise control, in particular to a noise control method, system and equipment for a mobile crushing station and a medium, and the method comprises the steps: obtaining a vibration noise signal of the crushing station, and carrying out the frequency domain conversion of the vibration noise signal to obtain spectrum analysis information; analyzing a frequency band with concentrated noise energy according to the spectrum analysis information to obtain distribution condition information and noise intensity information to generate first reverse sound wave information; historical information of a crushing station is obtained, and a sound wave prediction model is constructed according to the historical information of the crushing station; analyzing the distribution condition information, the noise intensity information and the working point position information according to a sound wave prediction model to obtain second reverse sound wave information; the first reverse sound wave information is adjusted according to the second reverse sound wave information, reverse sound wave output information acting on the loudspeaker is obtained, noise generated in multiple use environments and multiple working conditions of the mobile crushing station can be accurately and rapidly dealt with, and the operation stability of the mobile crushing station is improved.