98 results about "Psychoacoustics" patented technology

The invention provides a sound quality-based ventilated sound insulation metamaterial design method, which comprises the following steps of: acquiring target noise for spectral analysis, and determining a main sound insulation frequency band of a metamaterial; determining the annoyance degree of a sound sample of the target noise, and calculating psychoacoustic parameters of the sound sample; analyzing the annoyance degree and the psychoacoustic parameters to obtain an annoyance degree correlation model; modeling the acoustic metamaterial structure and calculating transmission loss, and adjusting the sound insulation frequency band of the metamaterial to a specified target frequency band by adjusting the parameters of the acoustic metamaterial structure; the transmission coefficient of the acoustic metamaterial structure is calculated, psychological acoustic parameters are obtained according to the transmission coefficient, an annoyance degree correlation model is established, and the noise annoyance degree is obtained; and adjusting parameters based on the noise annoyance degree under different acoustic metamaterial structures to obtain the acoustic metamaterial structure with the optimal sound quality. According to the invention, the sound quality annoyance degree is used as the basis of the metamaterial design effect, so that the sound quality annoyance degree is greatly reduced under the limited size.

The invention provides an in-vehicle noise comfort test method based on a multi-dimensional index, and belongs to the technical field of acoustic test and evaluation, the method is suitable for manual-shift and automatic-shift vehicles, and under the vehicle acceleration operation condition, when a preset acceleration condition is met, the in-vehicle noise comfort test is carried out. The maximum value of the A-weighted sound pressure level, the loudness value and the sharpness value of the preset noise measuring point position can be measured and recorded, multiple times of measurement are completed before the rotating speed of the engine reaches 90% of the rated rotating speed, and the arithmetic mean value is calculated to serve as an intermediate result. For a constant-speed operation condition, the A weighting sound pressure level and the loudness value are measured and recorded for multiple times, and an arithmetic mean value is calculated as an intermediate result; according to the method, the two psychoacoustic parameters including the loudness and the sharpness are introduced to serve as indexes for evaluating the comfort performance of the noise in the vehicle, and the actual perception and subjective experience of human ears on the noise can be reflected more accurately.

The invention discloses a subjective and objective fused air conditioner sound quality analysis and evaluation method, which comprises the following steps of: 1, forming a working condition-gear combination matrix according to an actual use scene and noise characteristics of an air conditioner; 2, arranging sensor measuring points according to a noise source scene of working condition-gear combination, and obtaining a sound sample; 3, carrying out subjective evaluation on the sound sample, and processing an abnormal score by adopting a 3 sigma principle and a box plot method to obtain a final subjective score; 4, five objective psychological acoustic indexes including loudness, roughness, sharpness, jitter degree and highlight ratio of 24 Bark frequency bands of the sound sample are calculated, and an objective index set is established; and 5, constructing an air conditioner subjective and objective fusion evaluation model of a two-stage fusion model of the time sequence convolutional network and the gradient boosting tree. According to the method, the problem of low evaluation precision of a general model caused by noise characteristic difference under different working conditions-gears is solved, an accurate air conditioner sound quality evaluation system is constructed, and support is provided for sound quality optimization design and quality evaluation of the air conditioner.

The invention discloses a college dormitory noise multi-dimensional evaluation method based on psychoacoustic and sound field simulation, and belongs to the field of building environment and noise control. The objective of the invention is to solve the problem that an existing dormitory noise evaluation method is single in index and neglects subjective perception and spatial distribution heterogeneity. The method comprises the following steps: acquiring physical data and original audio of dormitory noise through multi-point synchronous acquisition; calculating loudness, sharpness, roughness, fluctuation intensity and comprehensive psychoacoustic annoyance (PA) by using a psychoacoustic model, and scientifically quantifying subjective interference of noise; meanwhile, sound field simulation is carried out based on the accurately established three-dimensional dormitory model, a sound pressure level distribution cloud picture is generated, and a standing wave phenomenon and a sound energy accumulation area are visually revealed; and finally, generating a targeted noise reduction optimization strategy by integrating subjective and objective and spatial analysis results. According to the method, full-chain diagnosis of physical characteristics-subjective perception-spatial distribution of dormitory noise is realized, and a scientific basis is provided for accurate and efficient noise treatment.

The present disclosure relates to the field of audio coding, in particular, it relates to a method for encoding audio signals through a masking model based on a hearing threshold of frequency intervals of the audio signal and a measured energy of the audio signal for the corresponding frequency intervals. The disclosure further relates to an encoder that is capable of carrying out the audio encoding method.

The invention discloses a method for evaluating a subjective noise reduction effect of a photovoltaic sound barrier. The method comprises the following steps: measuring, collecting and analyzing a sound sample before noise control; establishing a sound barrier prediction model, and calculating sound barrier insertion loss; synthesizing a noise-controlled sound sample; according to the sound sample before noise control, the sound sample after noise control and the sound barrier prediction model, calculating or measuring to obtain related parameters; and calculating the reduction percentage of the annoyance degree, and evaluating the subjective noise reduction effect of the photovoltaic sound barrier. Through the steps of collecting a sound sample before noise control, establishing a sound barrier prediction model, synthesizing a sound sample after noise control and the like, the annoyance degree reduction percentage calculated based on a sound absorption coefficient and psychoacoustic parameters is obtained, subjective experiments are not needed in the whole evaluation process, time and labor are saved, operation is easy and convenient, and evaluation is rapid and accurate.

The invention relates to the technical field of audio signal processing, and discloses a wind-noise-resistant self-adaptive volume adjustment method and system for a riding earphone, and the method comprises the following steps: S1, collecting environment sound and a source audio signal in parallel; s2, analyzing environment sound, and determining macroscopic adjustment intensity; s3, analyzing the source audio in parallel, and identifying a content type and a transient signal of the source audio; s4, based on the psychological acoustic model, generating a frequency-related target method tone quality compensation gain; s5, performing dynamic smoothing and frequency weighting on the target gain according to the content and the transient characteristics to generate an application gain; s6, fusing the macroscopic adjustment intensity and the application gain, and synthesizing a final gain parameter; and S7, applying the final gain to the source audio, and outputting the compensated audio. According to the method, the psychological acoustic model and audio content parallel analysis are fused, frequency-level accurate compensation is realized, the problems of traditional degradation and sudden hearing sense change are solved, and the audio definition and comfort are improved.

The present invention relates to a low-frequency enhancement system and method, which uses a filter to separate high-frequency signals from low-frequency signals in a sound signal at the sound source end, and then performs harmonic generation processing on the separated low-frequency signal to generate low-frequency harmonics, and then mixes the obtained low-frequency harmonics with the fundamental signal after phase shift adaptation adjustment to form a mixed signal, so that the listener's brain can perceive the low frequency at the psychoacoustic level through the generated harmonics, and calibrates the low-frequency part of the mixed signal at the propagation end through a preset calibration model, and finally the coordinated processing of the sound source end and the propagation end enables the bass effect that the listener can obtain to be enhanced. The overall architecture of the present application is relatively simple, and the system architecture is convenient to calculate and implement, and the cost is low.

The application relates to the technical field of audio processing, in particular to an audio processing method, an electronic device and a readable storage medium. In the method, a sound signal is received by a device that can be worn on the ear of a user, then the sound signal is divided into a low-frequency sound signal and a high-frequency sound signal by using a filter, and a steady-state sound signal and a transient sound signal in the low-frequency sound signal and the high-frequency sound signal are extracted. The steady-state sound signal and the transient sound signal are processed based on the individual calibration parameters corresponding to the user, so that the calibrated sound signal finally heard by the user conforms to the target psychoacoustic loudness of the user. In this way, the hearing protection of the user can be realized.

The invention relates to the technical field of white noise healing, in particular to a white noise healing wall adjusting system fused with psychoacoustics, which comprises a wall device, an audio generation module, a parametric modeling module, a sensor module, a control module and an interactive feedback module. The wall body device is composed of a surface patch made of a light elastic material and an aluminum alloy frame, and a natural sound frequency curve is simulated through mechanical motion; the audio generation module extracts a natural white noise sample and accurately adjusts sound parameters in combination with a mathematical function; the parametric modeling module is used for realizing dynamic adjustment of a wall body by utilizing Grasshopper; the sensor module monitors environment and user behaviors; the interaction feedback module enhances immersion experience through multichannel surround sound and audio visualization. According to the application, by simulating natural auditory experience, dynamically changing sound elements and designing multi-sensory interaction, a user can be helped to recover attention, relieve pressure and improve sleep quality, meanwhile, personalized customization and intelligent environment adaptation are supported, and an innovative solution is provided for healing application in a building environment.

The application provides a noise annoyance modeling method for an audio injection system, which comprises the following steps: firstly, according to a target sound, a corresponding control sound is selected to perform time domain superposition, so as to obtain a plurality of superimposed sound samples; then, a subjective evaluation experiment and data processing are performed on the obtained superimposed sound samples; then, psychoacoustic parameters of the target sound, the control sound and the superimposed sound are calculated, and the difference between the corresponding psychoacoustic parameters of the target sound and the control sound is calculated; the difference between the calculated psychoacoustic parameters of the target sound and the control sound is taken as an independent variable, and the corresponding superimposed sound annoyance score value is taken as a dependent variable; the correlation between the independent variable and the dependent variable, the correlation between the independent variables and the collinearity between the independent variables are calculated; according to the calculation results, the modeling independent variable is determined; the determined modeling independent variable and the superimposed sound annoyance score value are taken as the dependent variable, and a multiple linear regression is adopted to realize the audio injection superimposed sound annoyance modeling. The application improves the precision and parameter correlation of the model, and further improves the objective evaluation of the audio injection superimposed sound annoyance.

The invention discloses an audio watermark generation and detection method. The method comprises the following steps: acquiring an audio signal corresponding to an audio to be processed; the amplitude of the confrontation disturbance signal is smaller than that of a value set corresponding to a psychological acoustic masking threshold value of the audio signal, the psychological acoustic masking threshold value is used for quantitatively representing an added disturbance amplitude upper limit corresponding to each frequency point in the audio signal, and the confrontation disturbance signal is used for carrying watermark information of the audio to be processed; and embedding the adversarial disturbance signal into the audio signal. The technical problem that the audio watermarking technology adopted in the related technology is mostly based on a static or dominant embedding mode and is easily removed by an attacker through a signal processing method is solved.

The invention relates to the technical field of sound field control, in particular to a sound equipment sound field low-frequency increasing and decreasing method and system based on volume amplitude recognition, and the method comprises the following steps: collecting an original audio stream, and extracting instantaneous amplitude features; calculating a low-frequency compensation coefficient according to the nonlinear auditory model; constructing a dynamic safety threshold and correcting a coefficient in combination with the physical limit of the equipment; and adjusting the low-frequency component based on the corrected parameter, and generating an optimized sound field signal. According to the invention, by establishing a dynamic mapping and constraint mechanism between the instantaneous volume amplitude and the low-frequency gain, the technical defects that the low-frequency hearing feeling of a traditional sound system is deficient under the low volume and overload distortion is extremely easy to occur under the high volume are thoroughly solved, and under the premise of strictly guaranteeing the physical safe operation of loudspeaker hardware, the sound quality is greatly improved. And full-dynamic-range sound field adaptive equalization and restoration conforming to human ear psychological acoustic characteristics are realized.

The invention discloses a distributed snore monitoring and shielding system cooperating with a charging box, and belongs to the technical field of audio signal processing and active noise reduction, the system comprises a charging box unit and an earphone unit, the charging box unit collects indoor sound field information through a microphone array, snore detection and feature analysis are carried out by using a neural network, and the earphone unit is connected with the charging box unit; distinguishing snore sources through a snore fingerprint recognition algorithm; the earphone unit generates counteracting sound waves and shielding audios according to snore feature data, accurate shielding is achieved through a mixed noise reduction strategy combining active noise reduction and psychological acoustic shielding, the system can recognize six typical snore modes, the detection rate reaches 97.3%, the shielding effective rate reaches 92.1%, power consumption is reduced by 45% compared with a traditional scheme, and a quiet and comfortable sleep environment is provided for a user.

To improve the encoding of scene-based audio data, after generating background components, foreground audio signals, and corresponding spatial components from scene-based audio data (such as high-order high-fidelity stereo HOA coefficients), correlation analysis is performed to determine the ordering pairs of correlation components from the foreground and background audio signals that will undergo stereo psychoacoustic audio encoding. On the decoding side, before reconstructing the scene-based audio data using the reordered correlation components, the encoded correlation coefficient pairs are decoded using stereo decoding and reordered using reordering information included in the bitstream.

The invention relates to the technical field of vehicle sound quality, in particular to a vehicle lifting beacon sound quality optimization method and device, and the method comprises the steps: collecting the noise of a plurality of types of corresponding lifting beacons of a plurality of vehicles in the lifting process, and carrying out the analysis to obtain a plurality of psychological acoustic parameters in the lifting process; obtaining a noise subjective score of the rising and falling vertical mark; and analyzing relevancy between the psychoacoustic parameters and the noise subjective score to determine at least one objective evaluation item of the rising and falling standard and a corresponding objective parameter index according to the relevancy so as to optimize an actual index of the at least one objective evaluation item of the rising and falling standard until the objective parameter index corresponding to the at least one objective evaluation item is reached. Therefore, the problems that in the prior art, the engine noise and the NVH noise of the vehicle are optimized by independently depending on the noise reduction sound pressure level, a special evaluation method for the special acoustic characteristics of the lifting beacon is lacked, and the use requirement and the optimization requirement of actual engineering cannot be met are solved.

Generally, techniques by which a scaled spatial component is encoded are described. A device including a memory and one or more processors can be configured to perform the techniques. The memory can store a bitstream including an encoded foreground audio signal and a corresponding quantized spatial component. The one or more processors can perform psychoacoustic audio decoding with respect to the encoded foreground audio signal to obtain a foreground audio signal, and determine a bit allocation to the encoded foreground audio signal when performing the psychoacoustic audio decoding. The one or more processors can dequantize the quantized spatial component to obtain a scaled spatial component, and de-scale the scaled spatial component based on the bit allocation to obtain a spatial component. The one or more processors can reconstruct scene-based audio data based on the foreground audio signal and the spatial component.

The invention relates to the technical field of vehicle sound quality, in particular to a hidden outer handle sound quality optimization method and device, and the method comprises the steps: collecting the noise of a hidden outer handle of a vehicle in the opening and closing process, so as to analyze a plurality of psychological acoustic parameters in the opening and closing process; obtaining a noise subjective score of the hidden outer handle; and analyzing relevancy between the psychoacoustic parameters and the noise subjective score to determine at least one objective evaluation item of the hidden outer handle and a corresponding objective parameter index so as to optimize the hidden outer handle until the actual index reaches the objective parameter index corresponding to the at least one objective evaluation item. Therefore, the problems that in the prior art, the noise of the vehicle and the outer handle of the vehicle door is optimized by independently depending on the sound pressure level for reducing the noise, it is difficult to effectively connect with the actual subjective feeling of a user on the noise, targeted optimization cannot be conducted, and the use requirements of a driver and passengers and the optimization requirements in an actual scene cannot be met are solved.

This invention discloses a method for detecting frequency shift and abnormal noise in pedestrian warning devices for electric vehicles. The method triggers audio by sending a simulated operating condition message and eliminates time delay errors by synchronizing with the underlying hardware clock. The acquired audio is sequentially filtered and scaled, and effective signal segments are extracted using short-time energy and zero-crossing rate. After phase-aligned splitting, the psychoacoustic features, harmonic distortion, and frequency shift response parameters of each subsequence are extracted. Finally, a feature local distance matrix is ​​constructed, and a dynamic programming algorithm is used to calculate the minimum cumulative cost path to output the sound defect type, while simultaneously verifying the linear mapping relationship between frequency shift response and vehicle speed. This invention effectively eliminates time delay and noise interference, achieving high-precision automatic classification of abnormal noise and accurate verification of frequency shift characteristics.

The invention discloses an automobile sound effect intelligent evaluation system and method based on deep learning, and relates to the field of automobile engineering and artificial intelligence, and the system comprises an audio data collection module, a psychoacoustic feature extraction module, a deep learning evaluation module and an optimization guidance module. The system obtains an original audio signal of a vehicle, extracts psychoacoustic parameters such as loudness and sharpness, and constructs a time sequence feature matrix; performing convolution operation and nonlinear mapping on the feature matrix by using a pre-trained one-dimensional convolutional neural network model, and outputting predicted values of subjective evaluation indexes such as fluency, comfort and luxury; and key parameters influencing the sound quality are identified by calculating the gradient of the predicted value relative to the input matrix. According to the method, automatic objective evaluation of the automobile sound effect is realized, a mapping relation between physical parameters and subjective hearing is established, optimization guidance based on attribution analysis can be provided, and the adaptability of an evaluation model to a dynamic driving scene is ensured.

An apparatus for transforming an audio stream with more than one channel into another representation comprising: means for transforming the audio stream in a signal-adaptive way dependent on one or more parameters; and means for deriving (the one or more parameters describing an acoustic or psychoacoustic model of the audio stream, said parameters comprise at least an information on DOA, wherein the one or more parameters are derived from the audio stream.

The invention discloses a building sound insulation optimization design system and method fused with sound quality evaluation. The system comprises a data acquisition module, a noise analysis module, a sound quality analysis module, a sound insulation demand determination module, a sound insulation scheme intelligent recommendation module, an audible processing module, a user feedback module, a secondary optimization module and a report generation and data storage module. All the modules are in data connection and work cooperatively. The system obtains indoor noise data, analyzes noise features and psychoacoustic parameters, intelligently screens and recommends a sound insulation scheme, carries out audible processing for users to listen, carries out iterative optimization according to user feedback, and finally generates a sound insulation design report. Acoustic analysis of the system focuses on subjective feelings of users, accuracy of sound insulation design and user satisfaction are improved, and intelligentization of building sound insulation design of the urban environment is promoted.

The application discloses a rail transit wall-attached sound-absorbing layer structure and a design method thereof. The sound-absorbing layer structure is composed of three layers of curlable sound-absorbing materials, and is respectively a noise capturing layer, an acoustic corridor layer and a low-frequency suppression layer along the radial direction of a tunnel. A plurality of regular hexagonal micro-porous channel units are arranged in an array on the noise capturing layer. The acoustic corridor layer is provided with staggered cavity corridor structures in an array, so that sound waves are reflected multiple times to convert sound energy into internal energy. The low-frequency suppression layer is provided with arrayed mass concentration units. Due to the difference in density between the arrayed mass concentration units and the film, the vibration of the system composed of the arrayed mass concentration units and the film is opposite, so that the sound-absorbing performance of the whole material is improved. According to the psychoacoustic annoyance degree, the sound-absorbing layer structure can be optimized, so that the design of the sound-absorbing layer structure meets the comfort of drivers and passengers during train driving, prevents work errors of train staff due to hearing insensitivity, and guarantees safe operation of the train.

In at least one embodiment, an audio system is provided. The audio system includes: a plurality of speakers; a plurality of microphones; and an audio controller. The plurality of speakers transmit audio signals in a listening environment. The plurality of microphones detect the audio signals in the listening environment. The at least one audio controller is configured to determine a first psychoacoustic perceived loudness (PPL) of the audio signal when the audio signal is played back through a first speaker among the plurality of speakers, and to determine a second PPL of the audio signal when the audio signal is sensed by a first microphone among the plurality of microphones. The at least one audio controller is further configured to map the first speaker among the plurality of speakers to the first microphone among the plurality of microphones based at least on the first PPL and the second PPL.

The application provides a spatial noise annoyance modeling method based on binaural psychoacoustic parameter difference, and the method uses the binaural psychoacoustic parameter difference as a bridge, establishes a spatial noise annoyance model based on noise self annoyance by using multivariate linear regression, and realizes correction of noise self annoyance in the sound source direction, so that the annoyance of noise in different directions is more reasonably and accurately predicted, the use range of the noise annoyance model is widened, the physical mechanism of the spatial noise annoyance is explained, and the application value of the noise annoyance model is enhanced.

The invention discloses a self-adaptive audio signal processing method and system for suppressing physical displacement of a Bluetooth sound box. The method monitors system volume gain in real time, and triggers control logic when it exceeds a displacement critical threshold calibrated by hardware coherence parameters. The system utilizes a band-pass filter to separate a target frequency band component corresponding to the physical resonance frequency of the box body, performs energy time domain integration on the component in a time sliding window, and calculates a displacement potential energy accumulation value. And when the accumulated value exceeds a static friction force breakthrough threshold value combined with the voice coil heat accumulation model, generating a dynamic attenuation coefficient to perform smooth suppression on the amplitude of the frequency band. According to the invention, machine-by-machine calibration is carried out on algorithm parameters by using loudspeaker impedance and inductance data actually measured by a precise LCR digital bridge in a production stage, and the suppressed low-frequency hearing feeling is compensated through higher harmonics in combination with a psychoacoustic principle, so that the problem of automatic sliding of the lightweight portable sound box during large dynamic playing is effectively solved.

The invention relates to the technical field of psychoacoustic and electroacoustic measurement, and provides an equal-loudness-level curve calculation method suitable for a plug-in headphone, and the method comprises the steps: firstly, calculating a free field equal-loudness-level curve based on a standard, and deducing an increment function representing a human ear loudness perception growth rate; then, acquiring a pure tone reference equivalent threshold sound pressure level of the plug-in earphone in a blocked ear environment, and realizing full-frequency-point reference data fitting by using an interpolation algorithm; and finally, superposing the loudness increment function on the reference equivalent threshold sound pressure level reference anchor point, thereby constructing an equal loudness level curve suitable for the plug-in earphone. The technical blank that the plug-in earphone lacks an equal-loudness evaluation standard in a blocked ear scene is solved, and an important support and an application basis are provided for application expansion of an equal-loudness-level curve relation.

The invention discloses an emergency broadcasting method, a terminal and a storage medium. The method comprises the following steps: receiving an environment audio and video stream; separating human voice and environment voice categories based on the prompt vector; performing audio-visual cooperative positioning based on human voice, and extracting a face image; performing anti-shielding tracking on the target, and outputting continuous coordinates; human voice and human face features are fused to analyze emotion, and a panic index is output; in combination with the coordinates, the panic index and the environmental sound category, generating a safety guidance instruction through neural symbol reasoning; generating voice according to the instruction and performing psychoacoustic modulation based on the panic index; and finally generating beam forming parameters based on the coordinates. According to the method, the technical problem that the traditional broadcast cannot generate and precisely project the voice instruction with the psychological pacifying effect according to the specific position and the real-time psychological state of the target in a complex disaster site is solved.