50 results about "Acoustic transfer function" patented technology

The invention belongs to the technical field of hearing testing, and relates to a self-adaptive hearing screening optimization method based on acoustic feature analysis, which comprises the following steps: generating audio data with different signal-to-noise ratios through a constructed audio library, measuring an acoustic transfer function of a user ear canal by using a probe microphone, and generating a personalized acoustic transfer function in combination with a head-related transfer function. Time domain and time frequency features are extracted by means of EEG data, and the auditory reaction ability and the spatial auditory ability of the user are quantified in combination with the spatial positioning features of the binaural simulation microphones; the method comprises the following steps: constructing a multi-modal auditory feature vector, weighting features in combination with a multi-head attention mechanism, predicting the hearing age of a user through a time sequence Transform encoder in combination with the age of the user and a standard threshold value, and evaluating hearing loss according to a prediction result; the individual difference of each user can be accurately adapted, the defect that individual difference and complex environmental noise are neglected in a traditional hearing screening method is overcome, and therefore the accuracy of a screening result is improved.

A hearing aid system comprises a hearing aid, and a portable auxiliary device’ adapted to establish a communication link between them. The hearing aid comprises a microphone providing an electric input signal, a signal processor, and an output unit. The auxiliary device comprises a microphone providing an auxiliary electric input signal, and a user control interface allowing a user to initiate a specific calibration mode of operation of the hearing aid system. The signal processor of the hearing aid is configured to receive corresponding time segments of said electric input signal and said auxiliary electric input signal to provide an estimate of an acoustic transfer function from said microphone of said auxiliary device to said microphone of said hearing aid. A method of operating a hearing aid system is further disclosed. The invention may e.g. be used in various applications related to own voice detection and estimation.

A sonar platform self-noise interference removal method and system, a device, and a storage medium. The method comprises: mounting a hydrophone array on one side of a sonar platform; dividing a sonar platform space into a grid, and constructing matrix A1 using an acoustic transfer function between each point on the grid and each array element; dividing a target radiation sound source space into a grid, and constructing matrix A2 using an acoustic transfer function between each point on the grid and each array element; concatenating matrix A1 and matrix A2 to form matrix A; using an acoustic transfer function of a unit point sound source at the position of an i-th array element at each point in the sonar platform space to construct matrix B1i, and constructing an all-zero matrix B2; concatenating matrix B1i and the all-zero matrix B2 to form matrix Bi; solving using matrix A and matrix Bi to obtain a weighting coefficient qi: assuming that a signal acquired by the hydrophone array is matrix X, and thus a self-noise component on the i-th array element is expressed as ni＝qiX, subtracting ni from a signal received by the i-th array element to obtain a signal not containing the self-noise component; and implementing removal of self-noise on each array element.

The present invention provides a method and system for predicting cab noise, relating to the technical field of vehicle strength analysis. The method comprises: when a physical cab or a cab model is available, obtaining the vibration-acoustic transfer function from each cab mounting point to the driver's position through different methods, obtaining the mounting point load under different operating conditions, obtaining the sound-acoustic transfer function from the cab sound source to the driver's position through different methods, and performing sound power level testing on each cab sound source to obtain the sound source load of the cab sound source; combining the vibration-acoustic transfer function and the mounting point load to generate structure-borne sound; combining the sound-acoustic transfer function and the cab sound source load to generate airborne sound; and synthesizing the cab noise based on the structure-borne sound and airborne sound. The present invention can more quickly and accurately determine cab noise.

Improve non-repetitive runout (NRRO) associated with the system's structural dynamics and operating vibrations. [Solution] A data storage device such as a hard disk drive (HDD) includes a rotary pivot bearing assembly of a rotary actuator configured with a bearing span smaller than the maximum available bearing span, thereby reducing the rotary pivot tilt (PT) gain of the corresponding acoustic transfer function relative to the rotational pivot tilt (PT) gain of the original acoustic transfer function corresponding to the maximum available bearing span. To counteract the resulting decrease in coil torsion and rotational pivot tilt frequency, the voice coil is thickened vertically to increase the coil torsion (CT) frequency and rotational pivot tilt frequency, bringing them closer to their values ​​in the original acoustic transfer function. Combining a relatively short bearing span with a relatively thick voice coil ensures and improves performance by maintaining relatively high CT and PT frequencies while guaranteeing a relatively low PT gain.

Method for magnetic resonance imaging, MRI, comprising obtaining an image acquisition sequence comprising RF pulses and magnetic field gradients configured to encode spatial information in a part of an object; obtaining an acoustic noise cancelling signal corresponding to the obtained image acquisition sequence at a first position; generating the image acquisition sequence; wherein the magnetic fields gradients are generated by gradient coils configured for three orthogonal directions respectively; and converting, by an acoustic transducer, simultaneously with the image acquisition sequence, the predetermined noise cancelling signal to an acoustic noise cancelling signal at the first position. The noise cancelling signal is obtained based on an acoustic transfer function and the magnetic field gradients of the image acquisition sequence, wherein the acoustic transfer function is obtained by training a neural network on a plurality of generic image acquisition sequences followed by transfer learning with calibration image acquisition sequences obtained during a calibration state before the generating of the image acquisition sequence.

A hearing device includes a) a multitude of input transducers providing a corresponding multitude of electric input signals; and b) a processor for providing a processed signal in dependence of the electric input signals. The processor includes b1) a beamformer for providing a spatially filtered signal in dependence of electric input signals and beamformer filter coefficients determined in dependence of a fixed steering vector including as elements respective acoustic transfer functions from a target signal source, to each of said multitude of input transducers; and b2) a target adaptation module connected to the input transducers and to at least one beamformer, the target adaptation module being configured to provide compensation signals to compensate the electric input signals so that they match the fixed steering vector.

The present invention discloses a method for detecting the open morphology of the Eustachian tube by using the acoustic measurement method of the Eustachian tube, comprising: using a Eustachian tube acoustic measurement device, a vibration sensor device and an imaging device together, performing acoustic measurement detection when the vibration sensor is attached to the throat, and performing imaging recording when the vibration sensor detects the vibration of the throat. The vibration sensor is used to mark the swallowing moment, and the acoustic transfer function of the Eustachian tube opening obtained by the acoustic measurement method is calculated and matched with the morphology of the Eustachian tube opening recorded by the imaging device, and a calculation model for inversely deducing the open morphology of the Eustachian tube based on the acoustic transfer function of the acoustic measurement method is established. The advantages of the present invention are: providing a new method for detecting the open morphology of the Eustachian tube, which is conducive to the evaluation and research of the Eustachian tube function.

A data storage device, such as a hard disk drive (HDD), incorporates a rotatable actuator-rotary bearing assembly with a rotary drive configured with a bearing spacing smaller than the maximum available bearing spacing. This reduces the pivot-tilt gain of a corresponding acoustic transfer function relative to the pivot-tilt gain (PT gain) of an original acoustic transfer function equal to the maximum available bearing spacing. To counteract the resulting reductions in the coil torsion and pivot frequencies, the voice coil is vertically thickened to increase the coil torsion frequency (CT frequency) and pivot frequency, bringing them closer to their values ​​in the original acoustic transfer function.By combining a relatively short bearing spacing with a relatively thick voice coil, relatively high CT and PT frequencies are maintained while ensuring a relatively low PT gain, thereby improving the structural dynamics of the system and the NRRO associated with operational vibrations.

The present invention provides a feedback suppression method, device, medium and product in a sound reinforcement scenario. The method includes: obtaining a microphone signal of the current frame; performing frequency-domain adaptive filtering processing on the microphone to be processed, and outputting a predicted target signal to a speaker. Among them, the frequency-domain adaptive filtering processing includes: multiplying an estimated acoustic transfer function of the previous frame by the speaker signal of the previous frame in the frequency domain to obtain a feedback estimated signal, and then subtracting the feedback estimated signal from the microphone signal to obtain a residual signal; the residual signal is output to the speaker as a predicted target signal after inverse transformation. At the same time, the estimated acoustic transfer function of the previous frame is iterated to obtain the estimated acoustic transfer function of the current frame, and the step size of the iteration is controlled by a recursive neural network model. The present invention can improve the accuracy of acoustic feedback estimation in a variety of actual scenarios, improve the distortion degree in the sound reinforcement scenario and increase the maximum gain.

The present application provides a vehicle sound effect control method, device, equipment, storage medium and vehicle, the method comprising: obtaining head posture information of a target user in the vehicle; extracting a target acoustic transfer function corresponding to the head posture information from a set of acoustic transfer functions according to the head posture information; determining the filter parameters of each sound output device according to the target acoustic transfer function to form a preset sound field partition in the head area of the target user. Through the method provided in the embodiment of the present application, when the head posture information changes, the acoustic transfer function corresponding to the head posture information can also be extracted, and the filter parameters of the sound output device can be subsequently adjusted in real time based on the dynamically changing target acoustic transfer function to achieve the formation of a preset sound field partition in the head area when the head posture information changes, thereby improving the control effect of the vehicle sound effect and improving the user experience.

The invention discloses a gastrointestinal symptom identification method and a sensing system, and relates to the technical field of health informatics and medical information processing, and the method comprises the steps: collecting excitation response and abdominal sound to calculate an acoustic transfer function, and employing a main formant frequency to invert a quality loading index representing a condensation water film effect; constructing an equalization gain based on the transfer function to carry out spectral shape correction on the abdominal sound time-frequency spectrum; constructing a symptom evidence vector and performing adaptive weighted scaling on the symptom evidence vector by using a quality loading index; and finally calculating the distance between the weighted vector and the symptom mode prototype library and mapping the distance into a prompt probability. According to the method, the problems of acoustic link drift and signal distortion caused by microenvironment humidity change in long-time monitoring are solved, and the accuracy and robustness of symptom identification are improved.

A setting method includes acquiring a plurality of instances of measurement data of an acoustic transfer function from a position of a loudspeaker to a position of a microphone, identifying a frequency band in which measurement variation of the acquired instances of measurement data is greater than a threshold value, and storing setting information in a storage of an active noise reduction device, the setting information being information for configuring the active noise reduction device with a setting that prevents output of the cancellation sound when noise corresponding to the identified frequency band is detected.

The invention relates to the technical field of metal structure health monitoring, and discloses an acoustic emission deep learning real-time diagnosis method for metal structure node damage, which comprises the following steps of: continuously sensing evolution of a physical state of a structure by calculating an acoustic transfer function fingerprint under environmental noise and generating a perturbation time sequence of the acoustic transfer function fingerprint relative to a health benchmark; and when the sequence presents a continuous degradation trend, active sound wave challenge is triggered to identify the physical property of the damage, sensor network self-checking is periodically carried out, finally, the perturbation time sequence, the damage property and the sensor state are jointly input into a deep learning model, and diagnosis information is output. According to the invention, a diagnosis focus is changed from a sparse event to continuous state monitoring, and the problem of monitoring blank of a traditional acoustic emission technology in an event intermission period is solved.

The invention provides a vehicle sound effect control method and device, equipment, a storage medium and a vehicle. The method comprises the steps that head pose information of a target user in the vehicle is acquired; extracting a target acoustic transfer function corresponding to the head pose information from an acoustic transfer function set according to the head pose information; and determining a filter parameter of each sound output device according to the target acoustic transfer function so as to form a preset sound field partition in the head area of the target user. According to the method provided by the embodiment of the invention, when the head pose information changes, the acoustic transfer function corresponding to the head pose information can be extracted, and the filter parameters of the sound output device can be subsequently adjusted in real time based on the dynamically changing target acoustic transfer function, so that when the head pose information changes, the filter parameters of the sound output device can be adjusted in real time. And the preset sound field subarea can be formed in the head area, so that the control effect on the sound effect of the vehicle is improved, and the user experience is improved.

The various implementations described herein include methods, devices, and systems for automatic audio equalization, In one aspect, a method is performed at a computing system that includes speaker(s), microphones, processors and memory. The computing system outputs audio user content and automatically equalizes the audio output of the computing system. The equalizing includes: (1) receiving the outputted audio content at each microphone of the plurality of microphones; (2) based on the received audio content, determining an acoustic transfer function for the room; (3) based on. the determined acoustic transfer function, obtaining a frequency response for the room; and (4) adjusting one or more properties of the speakers based on the determined frequency response.

A piezoelectric micromachined ultrasonic transducer (PMUT) (302) interfaces with an amorphous medium such that, in use, an ultrasonic signal to or from the PMUT (302) passes through the amorphous medium. The amorphous medium has a plurality of discrete reflectors (110a, 110b, 111a, 111b) distributed therein. A method of imaging using a PMUT or an array of PMUTs (302) includes determining an acoustic transfer function corresponding to the effect of the plurality of discrete reflectors (110a, 110b, 111a, 111b) positioned between the PMUT or PMUT array (302) and a scene to be imaged, imaging the scene using the PMUT or PMUT array (302) by transmitting an ultrasonic signal and receiving the ultrasonic signal at the PMUT or PMUT array (302) after receiving one or more reflections, and processing the received ultrasonic signal to generate an image by applying an inverse of the acoustic transfer function to the received ultrasonic signal.

The present application relates to a hearing aid system comprising a hearing aid adapted for being worn by a user at an or in an ear of the user, and a portable auxiliary device, wherein the hearing aid system is adapted to establish a communication link between the hearing aid and the auxiliary device to provide that data can be exchanged between them or forwarded from one to the other, the hearing aid comprising an input unit comprising at least one microphone for picking up sound from the environment of the hearing aid and to provide corresponding at least one electric input signal representative of said sound, a signal processor configured to process said at least one electric input signal or a signal or signals derived therefrom and to provide a processed signal, and an output unit for presenting stimuli perceivable as sound to the user representative of said processed signal, the auxiliary device comprising a user control interface configured to initiate a measurement of respective head-related transfer function(s) in a specific far-field calibration mode of operation, and a loudspeaker, wherein the auxiliary device being configured to play a test sound signal and to transmit an electric version of the test sound signal to the hearing aid in dependence of an input from the user control interface.

The embodiment of the invention provides an acoustic horn immersion type sound field rendering method and system, and relates to the technical field of sound field rendering, and the method comprises the steps: obtaining a user position and a head posture in a virtual space; acquiring the position and intensity of a virtual space sound source; identifying a focus sound source currently concerned by the user according to the user position, the head posture, the sound source position and the intensity; identifying sound sources except the focus sound source as environment sound sources; performing sound field rendering on the environmental sound source to obtain a shared environmental sound field signal, the computing resource of the environmental sound source being lower than the computing resource of the focus sound source; performing convolution operation on the original audio signal of the focus sound source and the head acoustic transmission function to obtain a personalized high-resolution signal; and superposing the shared environment sound field signal and the personalized high-resolution signal to generate a binaural signal, and playing the binaural signal through an acoustic horn array. According to the method, the immersion and the actual effect of virtual reality training can be improved.

The invention relates to bearing span reduction with increased coil thickness for improved actuator structural dynamics in hard disk drives. A data storage device, such as a hard disk drive (HDD), includes a rotary actuator pivot bearing assembly configured to have a bearing span that is less than a maximum available bearing span so that a pivot tilt (PT) gain of an original acoustic transfer function corresponding to the maximum available bearing span is greater than a pivot tilt (PT) gain of the original acoustic transfer function corresponding to the maximum available bearing span. The pivot tilt gain of the corresponding acoustic transfer function is reduced. To counteract a subsequent reduction in the coil torsion frequency and the pivot tilt frequency, the voice coil is vertically thickened to increase the coil torsion (CT) frequency and the pivot tilt frequency closer to their values in the original acoustic transfer function. Combining a relatively short bearing span with a relatively thick voice coil maintains relatively high CT and PT frequencies while ensuring relatively low PT gain, thereby improving the structural dynamics of the system and the NRRO associated with operational vibrations.

The application discloses a kind of based on transfer function test's automobile suspension path to the identification method of contribution of road noise in vehicle, comprising the following steps: S1, dynamic parameter identification;S2, static test, obtains the acoustic transfer function curve of excitation force at the knuckle of vehicle to the ear of front row and rear row in vehicle;S3, the acoustic transfer function curve obtained is compared and analyzed, and the contribution of road noise peak value of vehicle suspension is identified.This application based on transfer function test's automobile suspension path to the identification method of contribution of road noise in vehicle, can identify the contribution of road noise of suspension to automobile, and efficiently and accurately lock the key path for road noise optimization.

This application belongs to the technical field of hearing tests, and relates to an optimized method for adaptive hearing screening based on acoustic feature analysis. By constructing an audio library, audio data with different signal-to-noise ratios is generated. A probe microphone is used to measure the acoustic transfer function of the user's ear canal, and combined with the head-related transfer function to generate a personalized acoustic transfer function. Time domain and time-frequency features are extracted from EEG data, combined with the spatial localization features of binaural simulation microphones to quantify the user's auditory response ability and spatial auditory ability. Through the construction of multi-modal auditory feature vectors, the features are weighted by combining the multi-head attention mechanism, combined with the user's age and standard threshold, and the hearing age of the user is predicted by the temporal Transformer encoder, and the hearing decline is evaluated according to the prediction result. It enables accurate adaptation to the individual differences of each user, overcomes the defects of ignoring individual differences and complex environmental noise in traditional hearing screening methods, thereby improving the accuracy of screening results.

An audio method, system, and computer readable medium for estimating an acoustic transfer function in an environment between a transducer and a microphone are provided. An audio test signal is generated in which an amplitude or energy of the audio test signal is selected at least in part across a plurality of frequency intervals to be masked at least in part by acoustic energy in the environment. The audio test signal is provided to a transducer to be translated into an acoustic signal in the environment. The microphone receives the acoustic signal and provides a microphone signal. The microphone signal is processed by a summing method over a predetermined duration of three (3) seconds or longer, and the acoustic transfer function is estimated based on the summing method.

This provides a setting method that can improve the stability of noise reduction performance. [Solution] The setting method includes step S11 of acquiring multiple sets of measured acoustic transfer function data from the speaker position to the microphone position; step S12 of identifying a frequency band in which the measurement variability of the acquired multiple sets of measured data is greater than a threshold; and step S13 of storing setting information in the storage unit 16 of the active noise reduction device 10 so as to reflect in the active noise reduction device 10 a setting that does not output a cancellation sound even if noise corresponding to the identified frequency band is detected.

The present invention provides a high-frequency broadband sound power identification method, including establishing a source-path-receiver model for high-frequency acoustic transmission problems, testing the acoustic transfer function from each sound source to each receiver respectively, testing the high-frequency broadband response function of the receiver when multiple sound sources are emitting sound simultaneously, and calculating the high-frequency broadband sound power curve of each sound source based on the data measured in S1, S2, and S3. High frequency means that the sound power frequency required is above 400 Hz, and broadband refers to a wide frequency band, that is, a continuous frequency range within a certain range, usually expressed in the form of an octave. The beneficial effects of the present invention are as follows: the sound power curves of each sound source can be obtained without disassembling parts and isolating sound sources, and the method has the characteristics of high efficiency, low cost, and high precision. It can provide guidance for the sound power testing and acoustic performance development of each sound source of automobiles, rail vehicles, engineering machinery, and other mechanical products.

The invention belongs to the technical field of sound field control, and relates to a frequency domain adaptive sound field control method based on sound contrast control, which comprises the following steps of: constructing an update model MDH of a sound transfer function by adopting a frequency domain adaptive algorithm based on a data frame; constructing an update model MDW for controlling a filter coefficient by using a sound contrast control algorithm; acquisition of an acoustic transfer function of a current frame

A hearing aid configured to be worn at or in an ear of a user including hearing aid comprising A) a multitude of microphones, B) a database including b1) a plurality of acoustic transfer function vectors representing different candidate locations of a target sound source in the environment relative to the microphone system, and b2) a multitude of posterior probabilities related to at least some of the acoustic transfer function vectors, each posterior probability representing the probability of a given acoustic transfer function given a particular eye-gaze direction of the user, and C) a processor configured to determine a current location of the target sound source relative to the user.

The invention discloses a method for predicting an acoustic transfer function in a passenger car, and relates to the field of sound signal analysis and prediction by using a neural network. The method specifically comprises the following steps: step 1, establishing an acoustic transfer function physical information neural network model; 2, training an acoustic transfer function physical information neural network model; 3, measuring an acoustic transfer function in the real vehicle; and 4, establishing an acoustic transfer function prediction model in the passenger vehicle through transfer learning. According to the method, the physical constraint of the acoustic transfer function is combined with the deep neural network, and a small amount of data is used for training, so that relatively high prediction precision can be achieved.

The present application relates to the technical field of metal structure health monitoring, and discloses a kind of acoustic emission deep learning real-time diagnosis method for metal structure node damage, comprising: the acoustic transfer function fingerprint under the calculation environment noise is generated, and its perturbation time series relative to health benchmark is generated, to continuously perceive the evolution of structure physical state;When the sequence presents continuous deterioration trend, trigger active acoustic wave challenge to identify the physical properties of damage, and periodically carry out sensor network self-checking, finally, the perturbation time series is input into deep learning model together with damage property and sensor state, and output diagnostic information.The present application changes the diagnostic focus from rare events to continuous state monitoring, and solves the monitoring blank problem of traditional acoustic emission technology during the event interval.