246 results about "Acoustic propagation" patented technology

The invention provides a civil air defense engineering concealed conduit leakage positioning method based on acoustic characteristics, and belongs to the technical field of civil air defense engineering. An acoustic signal acquisition network is constructed by deploying a high-sensitivity hydrophone array, and signals are preprocessed by using a time division multiple access technology and a pulse compression technology; and carrying out time-frequency analysis by applying wavelet transform to extract acoustic features. A time reversal mirror technology is introduced to identify direct propagation and multipath reflection signals, a fluid acoustic coupling propagation equation is constructed to analyze a leakage sound source mechanism, and pipe network topological information and a sound wave speed correction function are combined to compensate a measurement error. Wherein the deep learning pipe network acoustic propagation multi-modal model is fused with a pipeline structure encoder, an acoustic feature extractor and a position prediction decoder, and high-precision leakage positioning and degree evaluation in a complex environment are realized through a three-stage pre-training strategy; the technical problem that it is difficult to accurately locate the position of a leakage point in the complex pipe network environment of civil air defense engineering is solved.

The invention discloses an intelligent control method and system for tunnel loudspeakers, and relates to the technical field of tunnel audio control, environmental parameters in a tunnel are collected by adopting a mode of deploying sampling equipment in a distributed manner, and data preprocessing is performed in a targeted manner for different environmental parameters; a sound propagation model is established, and attenuation and delay of sound in different environments are simulated. According to the intelligent control method and system for the tunnel loudspeakers, various temperature and humidity sensors are arranged in the tunnel, and the absolute humidity is calculated in combination with the air pressure data, so that the sound velocity is accurately corrected, and the phase difference of the multiple loudspeakers is reduced; an adaptive Kalman filtering algorithm is adopted to process wind speed data, and reliable input is provided for a sound propagation model; a deep reinforcement learning algorithm is used to carry out collaborative optimization on parameters such as amplitudes and directional angles of multiple loudspeakers, a Bayesian network is used to detect loudspeaker faults, and Delaunay triangulation and a distributed consistency algorithm are combined to realize rapid fault reconstruction.

The invention provides a manifold constraint-based sonar imaging reverberation elimination method and system, and is applied to the field of imaging data processing. According to the method, the time domain waveform of the echo signal is collected in real time, whether the irregular reflection peak value is detected or not is judged, potential interference and reflection in the underwater environment can be rapidly recognized, and particularly, in the complex underwater environment, non-target objects (such as seabed obstacles or sundries) possibly cause irregular reflection signals, so that the interference and reflection in the underwater environment can be rapidly recognized. Meanwhile, the underwater propagation characteristics of sound waves can be accurately modeled by collecting the reflection path of the echo signal and predicting the propagation parameters of the reverberation signal. And accurate background data can be provided for the propagation modeling of the reverberation signal through the pre-recorded information of submarine topography, geological characteristics, sound wave propagation characteristics and the like.

The invention discloses a noise monitoring point site selection method and system based on a noise map, and relates to the technical field of environmental noise monitoring, and the method comprises the steps: constructing a three-dimensional topology network based on a three-dimensional noise intensity matrix, calculating an optimal sound propagation path through employing a quantum heuristic topology optimization algorithm, and obtaining an optimal sound propagation path; the weights of nodes in the three-dimensional topology network are optimized in combination with quantum annealing, and an acoustic topology characteristic spectrum is generated; extracting multi-scale noise propagation features through a convolutional neural network according to the acoustic topological feature map, constructing a gridding space demand matrix in combination with a monitoring equipment parameter library and coverage constraint conditions, and generating an optimal noise monitoring network site selection scheme according to the gridding space demand matrix; according to the invention, a quantum heuristic topology optimization algorithm is combined with quantum annealing to optimize the node weight of the three-dimensional topology network, and intelligent optimization and dynamic adjustment of the sound propagation path are realized.

The invention provides an oil and gas equipment leakage acoustic characteristic intelligent identification early warning method and system, and relates to the technical field of oil and gas equipment safety monitoring, and the method comprises the steps: arranging a sonic sensor array to collect signals, calculating a wavefront propagation path, optimizing the wavefront curvature, carrying out the multi-scale decomposition of a sonic signal, and extracting time-frequency characteristics; and reconstructing a sound field by using an acoustic propagation function to determine a leakage point space coordinate. The method can accurately identify the acoustic characteristics of oil and gas equipment leakage, improves the leakage point positioning precision, achieves the early warning of leakage, and guarantees the safe operation of oil and gas equipment.

The invention relates to the technical field of underwater detection, and discloses an underwater comprehensive detection system. The system collects multi-dimensional acoustic data including sound wave reflection intensity, propagation time delay and frequency dispersion characteristics of a target water area through an underwater sonar array; dividing the detection area into a plurality of layered units according to a water attenuation coefficient and a substrate reflection characteristic of the acoustic data, and extracting an environment intrinsic parameter of each layered unit; constructing an acoustic propagation path model based on the environmental intrinsic parameters, and generating adaptive filtering parameters in combination with a preset noise suppression strategy; calling sonar array hardware configuration data, matching filtering parameters with an array beam forming mode, and calculating a detection sensitivity threshold value of each layered unit; and integrating the sensitivity threshold and the acoustic data, generating a three-dimensional acoustic characteristic spectrum of the target water area, and marking the space coordinates and confidence level of the abnormal area. The system can improve the comprehensiveness and accuracy of underwater detection, and meets the requirement of high-precision detection.

The invention discloses a dynamic noise analysis method and device for an urban elevated road and a medium, and belongs to the technical field of noise monitoring and analysis. The method comprises the following steps: acquiring a three-dimensional geographic information model and real-time traffic flow data of a target elevated road; processing the three-dimensional geographic information model based on a sound wave propagation attenuation model to generate a noise propagation path grid; fusing the real-time traffic flow data with a noise source intensity calculation model to generate a dynamic noise source intensity sequence; calculating a real-time equivalent sound pressure level of each grid unit through a noise superposition algorithm in combination with the dynamic noise source intensity sequence and the noise propagation path grid; performing rolling prediction on the real-time equivalent sound pressure level based on a time window sliding mechanism to generate a noise space-time distribution thermodynamic diagram; and according to the noise space-time distribution thermodynamic diagram, identifying a noise exceeding area, and outputting a dynamic noise evaluation report. According to the method, the technical effect of dynamically predicting and analyzing the noise of the elevated road is achieved.

The invention provides an underwater positioning system combining sound ray propagation modeling and multipath interference suppression, which relates to the technical field of marine equipment and comprises a self-adaptive underwater sound sensing and environment cognition module, an environment self-adaptive sound ray propagation modeling module, a multipath suppression and direct wave extraction module and a multi-dimensional information fusion and self-adaptive positioning calculation module. The self-adaptive underwater sound sensing and environment cognition module is used for realizing multi-mode sensing and real-time environment feature recognition of underwater sound signals, and the environment self-adaptive sound ray propagation modeling module is used for constructing a dynamically updated sound wave propagation model and providing a propagation path and time constraint for positioning calculation; the multi-path suppression and direct wave extraction module is used for carrying out multi-path signal separation and extracting direct wave features with confidence marks, and the multi-dimensional information fusion and self-adaptive positioning calculation module is used for completing high-precision positioning calculation; according to the system, deep fusion of an environment model and signal processing can be realized, and the positioning precision and robustness of the underwater vehicle in a complex underwater sound environment are remarkably improved.

The invention discloses a sound compatibility test and evaluation method, device and equipment for an underwater acoustic system of an ocean platform and a storage medium, and relates to the technical field of ocean acoustics, and the sound compatibility test and evaluation method for the underwater acoustic system of the ocean platform comprises the steps: obtaining target noise data of the ocean platform; platform parameters of the ocean platform are obtained, a simulation model is constructed according to the platform parameters and the target noise data, and the simulation model comprises an environment noise model, a sound propagation model and a platform self-noise model; obtaining to-be-tested equipment parameters of the ocean platform, and obtaining target data according to the to-be-tested equipment parameters and the simulation model; and performing performance evaluation and comprehensive analysis on the ocean platform according to the target data so as to complete acoustic compatibility test and evaluation of the acoustic system. According to the invention, the accuracy of acoustic compatibility testing and evaluation of the underwater acoustic system of the ocean platform can be improved.

The invention belongs to the technical field of underwater sound information processing, and relates to a position configuration method of an array calibration sound source of a seabed sound array in a deep sea environment, which comprises the following steps of: constructing a time delay observed quantity model between a calibration sound source and an array element based on a ray sound propagation theory; deriving a relation between an unbiased estimation error lower bound of an array element position and a calibration sound source position, constructing an array calibration performance constraint condition and a calibration source number sparse constraint condition to realize automatic selection of a calibration sound source number, and adopting a positive semidefinite programming technology to solve an optimization configuration problem; compared with a traditional calibration sound source position configuration method, the method adopts the ray acoustic propagation model to model and calibrate the time delay observed quantity between the sound source and the array element, is more in line with the characteristics of the marine environment, and can realize effective compensation of the sound propagation effect.

The invention relates to an ocean internal temperature inversion method fusing PIES and sea surface multi-source parameters, and belongs to the technical field of ocean environment parameter inversion and ocean dynamics observation. Comprising the following steps: constructing a nonlinear empirical model (Multi-RF) of seawater temperature inversion by using a random forest algorithm and fusing data such as a historical observation temperature-salinity profile observed by a temperature-salinity-depth meter (CTD) and sea surface multi-source parameters; and inverting the seawater temperature through a Multi-RF model by using the sound propagation time and multi-source sea surface data calculated by the PIES. Compared with a traditional empirical mode mapping (GEM) model, the Mull-RF model provided by the invention has the advantages that on one hand, the Mull-RF model utilizes fewer samples to establish a mapping relation between the seawater temperature and multiple parameters, and the problem of sample shortage in construction of a seawater temperature inversion model fusing sea surface multiple parameters and PIES observation sound propagation time is solved; on the other hand, compared with polynomial fitting in a GEM model, the random forest adopted by the Multi-RF model can achieve nonlinear fitting from multiple parameters to the seawater temperature, and therefore the temperature inversion precision is remarkably improved.

The invention belongs to the field of polar acoustic measurement, and relates to a method for estimating the sound velocity and thickness of an ice layer by using airwaves and ice layer bending waves, which comprises the following steps of: acquiring broadband pulse sound signals by using a sensor fixed on an ice surface; recording the distance between the detonating device and the ice surface sensor; performing time-frequency analysis on the broadband pulse signal acquired by the ice surface sensor; obtaining a time-frequency spectrum of the signal through time-frequency analysis, calculating the propagation velocity of the airwave, converting the time-frequency spectrum into a group velocity spectrum, and extracting a group velocity dispersion curve of the bending wave; initializing the longitudinal wave velocity, the transverse wave velocity, the ice layer thickness and the seawater sound velocity of the ice layer; calculating an expected group velocity curve according to the sound propagation model, and constructing a cost function; and optimizing the cost function by adopting a particle swarm algorithm, and outputting a final parameter estimation value. The method can be realized only by using a single sensor, and the synchronization of transmitting equipment and receiving equipment is not required; the sound velocity and thickness of the ice layer can be inverted by using the relationship between the group velocity and the acoustic parameters.

The invention relates to the technical field of underwater acoustic engineering and ocean exploration, in particular to a multi-channel underwater acoustic signal transmitting and measuring system and a signal processing method, which are used for solving the problems that the existing multi-channel underwater acoustic signal processing generally depends on fixed threshold detection or simple time sequence alignment, and the signal processing efficiency is low. The problem that residual vibration, local noise abrupt change or multipath reverberation is easily misjudged as an effective first arrival signal in a complex underwater environment due to the fact that the influence of the physical response characteristic of a transducer on emission time calibration is not considered and effective verification on whether a candidate arrival structure accords with a sound wave propagation physical rule is lacked is solved. According to the invention, a multi-channel energy time sequence and hydrophone space geometrical relationship is fused through an underwater sound propagation initial physical judgment module, a judgment mechanism is constructed based on distance-time consistency of sound propagation, and self-consistent verification is realized by combining a cross-channel arrival sequence and sound velocity constraint. And the accuracy, the robustness and the physical interpretability of the judgment of the effective launching time of the underwater sound are obviously improved.

The invention provides an environment-adaptive passive sonar array element data real-time generation method, which can be used for connecting a target and receiving platform motion situation information in real time, acquiring real-time marine environment data information, forecasting a sound field channel function by using a parabolic equation sound propagation model in a complex marine environment, and generating the passive sonar array element data in real time. Through a multi-module step-by-step parallel computing strategy, real-time simulation generation of passive sonar array element data is achieved, and the method has the advantages of real-time computing, high-precision computing, high universality, high expandability, good environment applicability and the like and has wide application prospects in the aspects of underwater acoustic countermeasure, simulation deduction and auxiliary decision making.

The invention relates to the technical field of environmental noise monitoring, and discloses a road traffic noise intelligent monitoring and three-dimensional sound field reconstruction system, which comprises an acoustic sensor module, a data collection and storage module, a data analysis and evaluation module, a three-dimensional sound field construction and display module and a traffic flow feature library. According to the system, a differential geometry principle is adopted, a sound field is regarded as a Riemannian manifold with a local microstructure, and accurate description of an irregular sound field is realized through a curvature self-adaptive sound field manifold construction technology; introducing a covariant derivative in Riemannian geometry, and constructing a sound propagation model adapted to a complex road environment; and realizing hierarchical decomposition and reconstruction of the sound field by using a multi-scale analysis theory. According to the method, the sound source positioning precision and the calculation efficiency are improved, seamless analysis from microcosmic to macroscopic is realized, an innovative solution is provided for traffic and noise collaborative management, and intelligent traffic and environmental noise management are effectively supported.

The embodiment of the invention discloses a sound barrier optimization method and device based on a noise source database and a medium, and relates to the technical field of sound barriers, and the method comprises the steps: collecting the multi-source noise time sequence data corresponding to a target road, carrying out the noise feature extraction and noise prediction based on the multi-source noise time sequence data, constructing the noise source database, and obtaining the noise source database; the noise source database comprises a real-time noise feature database corresponding to a current time node and a predicted noise feature database corresponding to a future time node; performing multi-period noise propagation simulation on the noise sensitive area of the target road through the real-time noise feature database and the predicted noise feature database, determining sensitive noise data corresponding to multiple time nodes, and determining a multi-period constraint condition corresponding to the sound barrier; and based on the multi-period constraint condition and a preset multi-objective optimization algorithm, determining a corresponding sound barrier design parameter solution set, so as to determine a sound barrier optimization strategy according to the design parameter solution set.

The invention discloses a low-frequency sound propagation loss forecasting method suitable for a polar region sea area, and the method comprises the steps: building a two-dimensional ice layer model of a forecast sea area according to remote sensing data based on the setting that sea ice of the polar region sea area is a uniform elastic medium; calculating hydrological conditions of the ocean sound channel of the polar sea area; establishing a forecast sea area two-dimensional seabed model according to the seabed topography sediment database; an under-ice sound field model is constructed based on a three-dimensional cylindrical coordinate system, sound pressure from unit intensity sound sources with different sizes and depths to a receiving point in a forecast sea area is calculated through a frequency domain finite element method in combination with a PML technology, and sound propagation loss of a needed position is obtained through calculation. According to the method, the application limitation of traditional ray and normal wave theories under complex boundary conditions is broken through through a finite element method, a synergistic effect mechanism of actual ice layer parameter space change, submarine topography fluctuation and sound velocity profile gradient characteristics is systematically analyzed, and sound field modeling is more accurately carried out on different ice layers and submarine topographies in the Chukong sea region all year round; the influence of sound wave propagation is simulated.

The invention relates to the technical field of pipe network acoustic detection, in particular to a water supply pipe network leakage noise detection method and system and a medium. The method comprises the following steps: constructing a physical model of leakage noise based on fluid mechanics and a sound propagation rule; generating simulated leakage noise data based on physical model parameterization so as to simulate leakage noise data under extreme physical conditions; a set of the actually measured leakage noise data and the simulated leakage noise data is used as leakage noise sample data, and time domain statistical characteristics and frequency domain statistical characteristics of the signals are obtained through quantification according to the leakage noise sample data; based on the statistical characteristics, dynamically adjusting window function parameters and performing short-time Fourier transform processing to obtain a resolution-optimized time-frequency image; and constructing a CNN classification model, training the model based on the resolution-optimized time-frequency image, and outputting prediction probabilities of leakage noise and environmental noise. While the water supply pipe network leakage noise detection precision is improved, hardware dependence is eliminated, and efficient pure acoustic end-to-end pipe network leakage detection is realized.

The invention discloses a transducer installation position calibration method based on observation track optimization analysis, and relates to the technical field of marine survey, and the method comprises the following steps: constructing a joint estimation model of the installation position of a shipborne transducer and the position of a seabed transponder, and directly using the sound propagation time measurement between the seabed and the sea surface as an observed quantity; dimension expansion estimation is carried out on the installation position of the shipborne transducer; calculating an installation position error parameter by using a ray acoustic propagation model in combination with coordinate conversion calculation; according to the method, track optimization key influence factors are analyzed, a square track design of a bidirectional course angle is put forward, finally, shipborne transducer installation position error compensation and seabed transponder positioning result output are achieved, through the method, the shipborne transducer installation position error can be compensated, and the seabed transponder positioning precision can be improved.

The invention discloses an underwater vehicle positioning method based on a motion compensation model and sound velocity error estimation, which relates to the technical field of ocean measurement and comprises the following steps: deducing a layered approximate calculation formula of sound ray propagation time and horizontal distance quantity on the basis of a ray acoustic propagation model; constructing a motion compensation model of the submersible vehicle, fitting motion state coordinates of the submersible vehicle by using a primary function about time, and performing linearization calculation of sound propagation time about a to-be-estimated coefficient in a ray acoustic propagation model; establishing a sound velocity error estimation model, enabling the sound velocity error to be equivalent to sound velocity deviation in each positioning period, and carrying out the linearization calculation of the sound propagation time with respect to the sound velocity deviation under a ray acoustic propagation model. According to the invention, the method can not only avoid solving the position coordinates of the transmitting and receiving signals of the transponders to compensate the motion model error of the submersible vehicle, but also can compensate the sound velocity error to improve the positioning precision of the submersible vehicle.

The invention, which relates to the technical field of audio experience, discloses an immersive audio experience-oriented sound sound field orientation system comprising a position sensing module, a sound field modeling module, a characteristic sound wave generation module, an array control module and a space feedback adjustment module. The position and orientation information of a target user in a three-dimensional space is obtained in real time through a non-contact sensor, a real-time acoustic propagation model containing reflection surface distribution and material characteristics is constructed, a multi-channel acoustic signal is generated based on the model, a loudspeaker array is driven to produce sound through a beam control parameter set, and the sound transmission effect is achieved. According to the invention, the spatial focusing of the sound beam in the target direction is realized, the sound production delay and phase difference of each loudspeaker unit are dynamically adjusted based on the direction deviation information of the received sound pressure, and a closed-loop control path is formed. The method is suitable for various scenes such as virtual reality, intelligent cinemas and voice interaction.

The invention discloses a water surface ship radiation sound field prediction method in an underwater acoustic channel environment, and relates to the technical field of ship radiation sound field prediction, and the method comprises the steps: dispersing a ship body wet surface, and symmetrically mapping the dispersed ship body wet surface to a position above a water surface; acquiring an acceleration vector at a field point on the wet surface element, determining a fluid-solid coupling boundary condition, and determining a radiation sound pressure theoretical formula by using a ball source distribution method; constructing a virtual spherical surface, arranging a plurality of field points, and solving a radiation sound pressure theoretical value at each field point by using a radiation sound pressure theoretical formula; and according to the equivalent relationship between the radiation sound pressure of the directional point sound source at each field point and the radiation sound pressure theoretical value, determining the sound pressure parameter of each directional point sound source, and determining the far-zone radiation sound field of the ship in the underwater acoustic channel environment by using an underwater acoustic propagation calculation method. According to the method, the ship is equivalent to the spherical sound source and the directive point sound source, so that the calculation amount is greatly reduced, and rapid prediction of the near-region and far-region radiation sound fields of the ship is realized.

The invention relates to the technical field of ocean engineering monitoring and underwater acoustic sensing, in particular to an underwater engineering structure anomaly detection and positioning method based on a subsurface buoy acoustic array. Comprising the following steps: establishing an equivalent coupling sound propagation model; a subsurface buoy system is arranged in a water body area above an underwater engineering structure, an acoustic receiving array is fixedly arranged on the subsurface buoy system, and time synchronization, array element space position calibration and channel gain calibration are carried out on the acoustic receiving array; when an abnormal acoustic event with a spatial consistent propagation characteristic is detected, the acoustic receiving array enters an enhanced working mode and outputs a multi-channel enhanced acoustic signal; and in the enhanced working mode, outputting a judgment result of whether an abnormal acoustic event occurs or not, and solving to obtain a position estimation value of the abnormal event in the axial direction of the structure and a corresponding positioning confidence interval. The method is suitable for online anomaly monitoring and accurate positioning of an underwater linear engineering structure with a known space trend in a complex marine environment.

The invention discloses a wind turbine generator acoustic directional propagation test system and method, and the system comprises an acoustic base station which is used for collecting and transmitting acoustic data; the meteorological base station is used for collecting and transmitting meteorological data; the master control base station is used for collecting and transmitting master control parameters of the wind turbine generator; the central base station is used for receiving the acoustic data, the meteorological data and the main control parameters, and performing multi-dimensional and multi-angle fusion processing according to the received acoustic data, meteorological data and main control parameters to obtain acoustic propagation characteristics of the wind turbine generator in different directions, different unit operation states and different meteorological environments; the method measures the acoustic propagation characteristics of the wind turbine generator from a plurality of acoustic parameters and a plurality of directivity angles, considers the influence of unit operation, weather and other factors on the acoustic characteristics, considers the influence of yaw on the directivity angles, optimizes the data transmission mode, reduces the precision influence caused by manual operation, and improves the accuracy of the wind turbine generator. And a noise reduction reference basis is provided from a wind turbine generator control strategy.

The invention discloses a GIS-based sound environment threshold value rapid query method, and particularly relates to the technical field of environment noise monitoring and intelligent city management. The method comprises the following steps: acquiring meteorological data and topographic data, analyzing the influence of the environment on noise propagation, calculating an actual noise influence range by combining time information and utilizing a dynamic noise propagation model, adjusting a basic noise limit value, and forming a more accurate dynamic threshold value; in combination with real-time noise monitoring data and traffic flow data, a spatial buffer area algorithm is adopted to evaluate a noise exceeding range, complaint frequency weight is introduced to calculate the noise pollution severity of complaint points, and an optimal treatment scheme is intelligently matched; by continuously monitoring the treatment effect, if the noise pollution is not effectively reduced, the treatment strategy is dynamically adjusted, and the noise propagation model is continuously optimized, so that the accuracy of noise prediction and management is improved, a self-adaptive optimization intelligent noise supervision system is constructed, and the scientificity and intelligent level of urban noise treatment are improved.

The present description relates to an ultrasound capture device (100) comprising at least: - an ultrasonic transducer circuit (106) arranged on and / or in a substrate (102); - an acoustic propagation material (114) arranged in a cavity (110) in which the ultrasonic transducer circuit (106) is located; - a sealing layer (118) closing the cavity (110) in the direction of a capture surface (102) of the ultrasound capture device (100), the capture surface being configured such that at least one element is arranged thereon during capture by the ultrasound capture device.

The invention discloses a low-altitude airspace noise assessment method based on space grids, and belongs to the technical field of low-altitude unmanned aerial vehicle flight monitoring and assessment. The objective of the invention is to solve the problem of depicting capability of a sound field state in a three-dimensional airspace. According to the method, noise sensitive objects in a low-altitude flight airspace and an air route range are identified, and a noise sensitive architectural space database with noise limit value labels is established based on set differentiated noise limit values; carrying out three-dimensional space rasterization modeling on the target evaluation area, and carrying out environment parameter assignment on each space grid unit to obtain a structured three-dimensional space grid framework of the target evaluation area; establishing a sound propagation attenuation model considering the multi-physics field coupling effect, and calculating the sound pressure intensity and the maximum allowable sound source intensity of each structured three-dimensional space grid unit; constructing a multi-dimensional data combined three-dimensional noise database; and carrying out airspace availability analysis and flight path feasibility evaluation. According to the invention, three-dimensional visualization and layering and partition quantization of low-altitude airspace noise influence are realized.

The invention provides a far-field voiceprint recognition method and device, electronic equipment and a storage medium, and the method comprises the steps: collecting sample near-field audio data, constructing a geometric acoustic propagation model containing a frequency band related reverberation model and a sound source and receiving equipment directionality model based on the data, and generating a room pulse response function; performing convolution on sample near-field voice and the pulse response function to generate simulated far-field audio data; carrying out pre-training based on the sample near-field audio and carrying out fine tuning based on the simulated far-field audio by adopting a speaker representation weight pre-retention training strategy, and constructing a far-field voiceprint recognition model; and inputting the to-be-detected far-field audio after reverberation removal and the reference near-field audio into the model, calculating the similarity and outputting an identification result. The problems of scarcity of far-field voice data, poor model cross-domain adaptability, serious signal reverberation and the like are solved, and the accuracy and robustness of a far-field voiceprint recognition system are remarkably improved.

A system for synchronizing and spatializing media, comprising client device and server device. A method for operation includes: tracking the real-time spatial coordinates of both devices via wireless sensors; synchronizing media playback using a timestamp-based protocol that compensates for network latency and clock offset; and applying directional audio filters, such as Head-Related Transfer Functions (HRTF), on the client device to render audio appearing to originate from server device's physical location. The method is further characterized by compensating for acoustic propagation and signal processing delays to ensure accurate spatiotemporal alignment. The system may be enhanced by a multimodal Al configured to perform operations such as real-time voice-preserving translation and the generation of synchronized, spatialized haptic feedback based on semantic event markers.

The invention provides a vector magnetic field detection method based on a surface acoustic wave magnetic field directivity model, and the method employs an external magnetic field to act on a magnetic sensitive film on a sound propagation path to generate a dynamic magnetoelastic coupling effect, modulates the propagation characteristics of surface acoustic waves, and carries out the decoupling of a sound signal, and obtains the magnetic field information. The response value of the sensor is influenced by the included angle between the direction of the external magnetic field and the anisotropic axis, so that the angle orientation of the sensor in the space and the size and direction of the magnetic field can be quantitatively calibrated by projecting the magnetic field to be measured in the space into a coordinate system of the sensor, and a surface acoustic wave magnetic field directivity model is constructed. The surface acoustic wave magnetic field sensing technology has the advantages of high sensitivity, quick response and the like, and the vector magnetic field detection method can realize the direction positioning function of a full-plane magnetic field and has important practical value in the application field of space vector magnetic field detection.