33 results about "Acoustic transfer function" patented technology

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.

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.

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 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.

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 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.

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.

The invention relates to a method for reducing acoustic vibrations in a connection element (30, 50, 70), wherein the connection element (30, 50, 70) connects two components of a projection exposure system to one another, and the connection element (30, 50, 70) is filled with a fluid (34), the method comprising the following method steps: - determining acoustic vibrations expected in the connection element (30, 50, 70); - configuring the connection element (30, 50, 70) to at least partially reduce the acoustic vibrations expected in the connection element (30, 50, 70); - determining an acoustic transfer function (37) of the configured connection element (30, 50, 70); - comparing the achieved reduction with a predetermined specification based on the transfer function (37); - repeating the configuration of the connection element (30, 50, 70) and the subsequent method steps until the specification is satisfied. The invention also relates to a connection element (30, 50, 70) for connecting two components of a projection exposure system (1, 101), wherein the connection element (30, 50, 70) is filled with a fluid (34) and is characterised in that the connection element (30, 50, 70) comprises at least one vibration-reducing portion (40, 40.1, 60, 80, 90). The invention also relates to a projection exposure system (1, 101) comprising a connection element (30, 50, 70) according to any one of the described embodiments.

The invention discloses a sound insulation performance evaluation method and system for a building fireproof plate of a transformer substation or a converter station. The method comprises the steps that the incident angle of sound waves on the building fireproof plate is acquired; based on the incident angle, analyzing a propagation path of sound waves in the building fireproof plate, and obtaining sound energy distribution characteristic data of the sound waves in the thickness direction of the building fireproof plate; according to the sound energy distribution characteristic data, first sound impedance of sound waves at the boundary of the building fireproof plate is corrected, and corrected first sound impedance is obtained; constructing an acoustic transfer function according to the corrected first acoustic impedance; and evaluating the sound insulation performance of the building fireproof plate based on the acoustic transfer function. According to the embodiment of the invention, the sound insulation performance of the building fireproof plate can be accurately evaluated.

Disclosed are systems and methods for rendering personal sound zones (PSZs) with head tracking using multiple loudspeakers, utilizing a Spatially Adaptive Neural Network (SANN) to dynamically generate and update audio filters that create acoustically bright and dark zones based on the listener head positions. First, the SANN encodes listener head coordinates and outputs corresponding PSZ filters as either time-domain impulse responses or frequency domain complex -valued coefficients. Then, acoustic transfer functions (ATFs) corresponding to the rendering loudspeakers and control points within PSZs are simulated at random room acoustics conditions and optionally measured in a specific rendering environment. The combined ATFs along with a unified loss function that incorporates multiple PSZ design objectives, are utilized in training the SANN for randomly sampled listener positions within the rendering area. Finally, the trained SANN is used for generating PSZ filters in real-time given a stream of head position data from a head tracking device.

This invention discloses a cockpit AR glasses presentation method and system based on spatial audio positioning, belonging to the field of intelligent cockpit and augmented reality interaction technology. The invention constructs a three-dimensional acoustic perception network by deploying an omnidirectional microphone array and establishes an offline calibrated cockpit acoustic transfer function database; it collects audio signals in real time and dynamically selects a subset of transfer functions for sound source localization based on the user's head position; it transforms the sound source coordinates to a head-mounted coordinate system by combining head posture data; it introduces a semantic parsing module to prioritize concurrent sound sources; and finally, it renders virtual objects in the AR glasses according to perspective rules, constrained by a dynamic gaze focus area. This invention solves the problems of sound-visual spatial mismatch, multi-source interference, and insufficient environmental robustness in existing technologies, achieving high consistency alignment between virtual content and physical sound source positions, significantly improving the spatial accuracy and interactive orderliness of AR information presentation within the cockpit.

The invention belongs to the technical field of parametric arrays, and particularly relates to a parametric array space optimization layout method for active noise reduction of a sound field. Comprising the following steps: modeling a radiation sound field of a single-layer cylindrical shell under point source excitation in water by using finite element software, and obtaining primary sound field information at a monitoring point; densely distributing parametric array sound sources on the surface of the single-layer cylindrical shell, and constructing an acoustic transfer function matrix from all parametric array sound sources to a monitoring point according to a closed form solution of a parametric array; and solving the optimal spatial layout of the expected number of secondary parametric array sound sources and corresponding sound source emission weight coefficients by using an MP algorithm with power constraint. According to the invention, the optimal spatial arrangement position of the secondary parametric array sound source in the ANC system can be scientifically obtained; the radiation power limitation of an actual parametric array sound source is considered, and the applicability is high; the calculation result is accurate and reliable, and the calculation method is simple and feasible.

The invention relates to the technical field of automobile engineering, in particular to a sound insulation performance evaluation method and device for a vehicle door sealing strip, and the method comprises the steps: obtaining a first vehicle door opening value of a target vehicle at a target wind speed and a second vehicle door opening value of the target vehicle in a target test environment; under the condition that the first vehicle door external opening value is equal to the second vehicle door external opening value, a plurality of one-third octaves corresponding to acoustic transfer functions between a plurality of microphones in the surrounding environment of the target vehicle and a sound source point at a preset position are obtained; and solving the acoustic transfer function frequency spectrum of the door of the target vehicle at the target vehicle speed to generate the sound insulation performance of the door sealing strip of the target vehicle at the target wind speed. Therefore, the problems that in the related technology, most automobile enterprises do not form a unified and effective evaluation method for sound insulation performance evaluation of the automobile door sealing strip in the high-speed state, and it is difficult to specifically recognize the sound insulation problem source of the automobile door sealing strip for optimization are solved.

The invention relates to a method for reducing acoustic vibrations in a connection element (30, 50, 70), wherein the connection element (30, 50, 70) connects two components of a projection exposure system to one another, and the connection element (30, 50, 70) is filled with a fluid (34), the method comprising the following method steps: - determining acoustic vibrations expected in the connection element (30, 50, 70); - configuring the connection element (30, 50, 70) to at least partially reduce the acoustic vibrations expected in the connection element (30, 50, 70); - determining an acoustic transfer function (37) of the configured connection element (30, 50, 70); - comparing the achieved reduction with a predetermined specification based on the transfer function (37); - repeating the configuration of the connection element (30, 50, 70) and the subsequent method steps until the specification is satisfied. The invention also relates to a connection element (30, 50, 70) for connecting two components of a projection exposure system (1, 101), wherein the connection element (30, 50, 70) is filled with a fluid (34) and is characterised in that the connection element (30, 50, 70) comprises at least one vibration-reducing portion (40, 40.1, 60, 80, 90). The invention also relates to a projection exposure system (1, 101) comprising a connection element (30, 50, 70) according to any one of the described embodiments.

A data storage device, such as a hard disk drive (HDD), includes a rotary actuator pivot bearing assembly configured with a bearing span less than the maximum available bearing span, thereby reducing the pivot tilt gain of a corresponding acoustic transfer function relative to a pivot tilt (PT) gain of an original acoustic transfer function corresponding to the maximum available bearing span. To counteract consequent reductions in the coil torsion and pivot tilt frequencies, the voice coil is vertically thickened to increase the coil torsion (CT) frequency and 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 simultaneously ensuring relatively low PT gain, thereby improving the structural dynamics of the system and the NRRO associated with operational vibration.

In example implementations described herein, there are systems and methods for performing predictive maintenance which can include collecting vibration data related to an operation of a first machine during a first time period, computing sound data related to the operation of the first machine during the first time period based on the collected vibration data, and predicting, based on the computed sound data, at least one value associated with a maintenance of the first machine. In some aspects, the systems and methods may further include measuring an acoustic transfer function relating the vibration data related to the operation of the first machine to one or more of the sound pressure data or the particle velocity data.

Provided in the present invention are an audio control method and apparatus, and an on-board sound system. The method comprises: acquiring an initial auditory model of a target user in an in-vehicle acoustic environment and an ideal auditory model of the target user in a reference acoustic environment; on the basis of preset fitting constraint conditions, fitting the ideal auditory model and the initial auditory model, so as to obtain target acoustic characteristic parameters corresponding to acoustic signals output by target loudspeakers; and on the basis of the corresponding target acoustic characteristic parameters, respectively generating target acoustic transfer functions from first loudspeaker groups to the target user, and respectively updating the target acoustic transfer functions to digital filters of the corresponding target loudspeakers. In the present application, acoustic transfer functions of loudspeakers in an on-board sound system are obtained by means of the fitting calculation of auditory models, and then the corresponding loudspeakers can be controlled by means of the acoustic transfer functions, such that audio outputted by the on-board sound system can fully conform to the listening preferences of a user, thereby realizing personalized audio customization.

This application discloses a vehicle active noise reduction method, electronic device, vehicle, and storage medium, relating to the field of vehicle technology. Specifically, it includes: acquiring multi-source sensing information; reading vehicle vibration signals and current road surface type contained in the multi-source sensing information, and determining a first noise reduction parameter set based on the vehicle vibration signals and current road surface type; determining the occupant's body parameters and position parameters based on the multi-source sensing information, and determining a target acoustic transfer function based on the occupant's body parameters and position parameters; integrating the first noise reduction parameter set and the target acoustic transfer function to obtain a first anti-noise driving signal; and outputting a first noise reduction field to the target occupant according to the first anti-noise driving signal, wherein the first noise reduction field is located in the head region of the target occupant. Using this application enables the vehicle to generate an anti-noise field that matches road noise and occupant characteristics, and focuses the energy of the anti-noise field on the head region of the target occupant.

An audio method, system, and computer-readable medium are provided for estimating an acoustic transfer function in an environment between a transducer and a microphone. An audio test signal is generated, and the amplitude or energy of the audio test signal is selected to be at least partially masked by acoustic energy in the environment across a plurality of frequency bins. The audio test signal is provided to a transducer for conversion to an acoustic signal in the environment. A microphone receives the acoustic signal and provides a microphone signal. The microphone signal is processed via a summation method over a predetermined duration of 3 seconds or more, and the acoustic transfer function is estimated based on the summation method.