1441results about "Active noise control" patented technology

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.

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.

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.

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.

A separate active noise cancellation device is installed on an electronic device which includes a circuit board and a noise generating source. The separate active noise cancellation device includes an active noise cancellation controller, a microphone and a speaker, the active noise cancellation controller is installed on and electrically connected to the circuit board, the microphone and the active noise cancellation controller are separately installed, the microphone has a cable provided for electrically connecting the active noise cancellation controller, the microphone is arranged around the noise generating source, the speaker is electrically connected to the active noise cancellation controller and capable of issuing a noise cancelling sound to offset the noise generated by the noise generating source. In this way, the amount of noise may be accurately captured and reduced to overcome the annoying noise problem.

In aspects of presenting relevant audio data, a mobile device implements an audio playback manager that monitors audio in an environment for a trigger word. The audio playback manager detects the trigger word via a microphone associated with a headset in communication with a mobile device. The audio playback manager determines whether a portion of the audio preceding the trigger word is relevant to a user of the mobile device and presents the portion of the audio that is relevant to the user.

A refuse vehicle includes a body coupled at least one of the frame and the chassis, a battery configured to provide electrical power to a first motor, a vehicle body supported by the chassis and defining a receptacle for storing refuse therein, an electric power take-off system coupled to the vehicle body, the electric power take-off system including a second motor configured to convert electrical power received from the battery into hydraulic power, one or more microphones coupled to the body and configured to detect noise, one or more speakers coupled to the body configured to emit noise reducing sounds, and a controller configured to receive data related to the detected noise from the one or more microphones and cause the one or more speakers to emit the noise reducing sounds in response to the data received from the one or more microphones.

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.

The invention discloses an active noise reduction method, system and device for a linear noise source, and the method comprises the steps: arranging a plurality of microphones for the noise source, and forming a microphone array; noise signals of the noise source are collected through the microphone array; performing mixed-base FFT conversion on the noise signal to obtain a frequency domain signal, and analyzing the frequency domain signal to obtain a spectrum feature of the noise signal; generating reverse sound waves according to the spectrum characteristics; establishing a loudspeaker array for the noise source, transmitting the reverse sound waves to the loudspeaker array, playing the reverse sound waves to the noise source through the loudspeaker array, and eliminating the noise source; arranging error microphones between the loudspeaker array and the noise source to form an error microphone array; residual noise signals appearing after the noise source is eliminated by the reverse sound waves played by the loudspeaker array are collected through the error microphone array; and judging whether the equipment has a fault or not according to the residual noise signal by setting a threshold value.

A signal processing method includes: receiving, by a signal input, a digital input signal from a device under test; capturing, by a measurement circuit, at least one IQ measurement set based on the received input signal, wherein the at least one IQ measurement set comprises a plurality of IQ measurement points; determining, by an analysis circuit, a total noise of the digital input signal over frequency based on the at least one IQ measurement set; determining, by the analysis circuit, an instrument noise over frequency, wherein the instrument noise corresponds to noise generated by the measurement instrument; and determining, by the analysis circuit, a ratio of the instrument noise and the total noise over frequency, thereby obtaining a frequency-dependent scaling factor. Further, a measurement instrument is described.

A vehicle control method includes detecting occurrence of a driving event specific to a virtual mobility when a reproduction mode for reproducing behavior of the virtual mobility in a driving event of the virtual mobility is selected as a driving mode of a battery electric vehicle, and performing event reproduction control including driving of an in-vehicle device simulating a behavior characteristic of the virtual mobility in the specific driving event and reproduction of a pseudo event sound simulating a sound in the specific driving event, when the occurrence of the specific driving event is detected. In the event reproduction control, the reproduction of the pseudo event sound is started prior to the driving of the in-vehicle device.

Techniques for automatic parameter tuning of active road noise cancellation systems are described herein. The system can automatically search for an optimal set of algorithm parameters based on recorded data. An active road noise cancellation algorithm and simulation can be embedded in an auto-differentiation framework, which allows gradients of the algorithm parameters to guide the automatic search and calculations of the algorithm parameters.

An integrated audio microphone system simultaneously provides in-room amplification and remote communication during a collaboration session with one or more local participants in a shared space and one or more remote participants. The integrated audio microphone system includes at least one microphone array and speaker system located in the shared space, at least one microphone system for amplification located in the shared space, an audio processor connected to the microphone system and the microphone array and speaker system, and a computer connected to the audio processor. The audio processor is configured to generate a plurality of virtual microphone bubbles and to amplify received audio signals from the microphone system for in-room audio amplification. The amplified audio signals are output to speakers of the microphone array and speaker system. Audio signals from the microphone system and the arrays of microphones are output to the computer to send the audio signals to one or more remote participants.

The invention belongs to the technical field of earphone noise reduction, and provides a noise reduction regulation and control method for an earphone and a noise reduction earphone. The method comprises the following steps: acquiring a first environment sound signal of an environment area, and extracting human voice features from the first environment sound signal to construct a human voice feature template library; in response to a noise reduction regulation and control instruction, collecting a second environment sound signal of the environment area, converting the time domain signal into a frequency domain signal through Fourier transform, and extracting a frequency spectrum feature from the frequency domain signal; performing matching calculation on the spectrum features and a human voice feature template library to determine environment voice signals, human voice signals and noise signals; an active noise reduction algorithm is adopted to generate offset sound waves opposite to the noise signals in phase, the human voice signals are amplified, and the offset sound waves and the amplified human voice signals are output through a loudspeaker of the earphone. According to the invention, effective noise filtering and clear transparent transmission of specific human voice are realized, smooth communication can be realized without taking off the earphone, and the use experience is improved.

An acoustic panel for an aircraft includes a skin, a plurality of first cells and a plurality of second cells interspersed with the first cells. Each first cell includes a first tube, a first endwall and a first cavity. The first tube projects vertically out from the skin to a distal end of the first tube. The first endwall closes off the first cavity at its distal end. The first cavity extends vertically through the first tube from the skin to the first endwall. Each second cell includes a second tube, a second endwall and a second cavity. The second tube projects vertically out from the skin to a distal end of the second tube. The second endwall closes off the second cavity at its distal end and is offset from the first endwall. The second cavity extends vertically through the second tube from the skin to the second endwall.

The invention discloses an inter-floor noise active suppression system and method.The system comprises a noise monitoring module, a signal processing module, a sound wave emission module and an intelligent control module, and the noise monitoring module, the sound wave emission module and the intelligent control module are all electrically connected with the signal processing module; the noise monitoring module comprises a broadband condenser microphone array, a vibration acceleration sensor and a beam forming processor. Through combination of acoustic monitoring, signal processing and sound wave emission technologies, upstairs noise can be monitored in real time, reverse sound waves with opposite phases and equal amplitudes are generated, so that the noise is effectively counteracted, and through combination of the multi-mode acoustic sensor array and a reverse sound wave noise reduction algorithm, real-time monitoring and quick response to floor noise are realized, and the noise reduction efficiency is improved. The real-time performance and accuracy of the noise reduction effect are ensured, and a quiet living and working environment is created for residents and office staff.

The invention discloses a noise control method and device and a readable storage medium, and relates to the technical field of vehicle noise reduction, the method comprises the steps that a reference signal and a real error signal collected by a physical error microphone are acquired, and the reference signal is a noise source signal outside a vehicle; according to target virtual sensing parameters and the real error signals, virtual error signals corresponding to the virtual error points are determined, and the target virtual sensing parameters comprise secondary path transmission parameters corresponding to the virtual error points and primary path mapping parameters from the physical error microphone to the virtual error points; determining a target adaptive filter parameter according to the reference signal, the real error signal and the virtual error signal; processing the reference signal based on the target adaptive filter parameter to generate a target anti-noise signal; the target anti-noise signal is output through the anti-noise loudspeaker so as to perform noise reduction on the target area corresponding to the virtual error point, and the noise reduction effect of the area far away from the physical error microphone can be improved.

The embodiment of the invention discloses a noise reduction method, a noise reduction device and a noise reduction system, which are applied to the field of audio signal processing. The method is applied to a first device, the first device comprises a noise source, and the method comprises the following steps: obtaining a target noise reduction parameter, the target noise reduction parameter being calculated based on at least one noise signal; the at least one noise signal is noise of a noise source collected by at least one pickup device at a target position, and the target noise reduction parameter is used for indicating environment information of the target position; and processing the noise of the noise source based on the target noise reduction parameter to generate an anti-noise signal, the anti-noise signal and the noise of the noise source having the same frequency and opposite phases. According to the embodiment of the invention, the pertinence of the active noise reduction effect in the open space can be improved.