384 results about "Sound image" patented technology

The invention discloses a power transmission line connection fitting fault detection method based on acoustics and electromagnetic induction, and belongs to the technical field of intelligent inspection and nondestructive detection of power transmission lines. A multi-mode sensor is carried by an unmanned aerial vehicle, ultrasonic wave, vibration, images and power frequency electromagnetic field data are synchronously collected, and a multi-dimensional original data set is constructed. Signal quality is improved by adopting wavelet noise reduction, beam forming and sound image fusion technologies, and flight vibration and electromagnetic interference are effectively suppressed by combining an adaptive filtering algorithm and a physical shielding structure. And acoustic, image and electromagnetic characteristics are extracted and normalized and fused, a dynamic threshold reference library is established, and intelligent grading discrimination of abnormity, defects and faults is realized through multi-stage early warning logic. A detection result automatically generates a report and is mapped to a three-dimensional line model, and operation and maintenance system linkage is supported. According to the method, synchronous identification of surface and internal defects is realized, the anti-interference capability is high, the detection accuracy is high, the inspection efficiency and safety are remarkably improved, and the method is suitable for intelligent operation and maintenance of the high-voltage transmission line.

An information presentation method of presenting information to a driver of a first vehicle includes detecting an object located in front of the first vehicle. The method includes determining a risk of the objects, and outputting alert sound for alerting a first dangerous object when the first dangerous object is detected based on the risk. The first dangerous object corresponds to a first risk exceeding a predetermined level. The alert sound is presented to the driver as a sound image localized at a first position between the driver and the first dangerous object. The method includes changing a position of the sound image from the first position to a second position when the risk of the first dangerous object rises to a second risk. The second position is a position between the driver and the first dangerous object and closer to the driver than the first position.

The invention discloses a method, device and system based on acoustic-thermal multi-mode fusion imaging, and relates to the technical field of artificial intelligence, and the method comprises the steps: firstly, collecting ultrasonic and thermal imaging data of target industrial equipment through an acoustic imager, and obtaining acoustic and thermal imaging features respectively; performing feature integration processing to obtain a first acoustic-thermal joint feature so as to determine a first modal integration unit corresponding to the acoustic feature, completing cross-modal fusion to obtain a first feature descriptor, similarly obtaining a second acoustic-thermal joint feature, a second modal integration unit and a second feature descriptor, and determining a fault evaluation result in combination with a fault type label. And then calibrating image data to construct a three-dimensional acoustic-thermal fusion substrate image and marking a result to obtain a diagnosis fusion image so as to realize accurate diagnosis of the target industrial equipment.

The invention relates to the technical field of audio control, and provides an audio control method and device, electronic equipment and a storage medium. The audio control method comprises the steps that a sound effect test is carried out on a target space based on a specified measurement signal to obtain environment response information, and the environment response information comprises pulse response information and information obtained after pulse response is separated; analyzing the environmental response information to obtain acoustic characteristic information of the target space; performing compensation processing on the to-be-processed audio based on the acoustic characteristic information to obtain a regulated audio; regulating and controlling the gains of the multiple sound channels corresponding to the regulated and controlled audio to obtain audio regulated and controlled again; and carrying out multi-channel collaborative optimization processing on the audio after being regulated and controlled again to obtain the audio with a target effect. According to the method, accurate compensation of the acoustic defect of the target space is realized, the problem of crosstalk between sound channels is effectively solved, the positioning and space sense of the sound image is remarkably improved, the overall hearing sense of the audio is greatly improved, and the audio output is continuously optimized.

The invention provides a wind turbine generator blade defect determination method and device, and the method comprises the steps: carrying out the real-time monitoring of a target wind turbine generator blade, and obtaining a monitored panoramic image and a multi-channel sound signal; processing the multi-channel sound signal, and determining a beam set composed of multiple beams of beams in multiple space directions; performing spatial registration and fusion on the sound signals of the beam set and the panoramic image to determine a panoramic sound image; by using the relevance between the blade position in the panoramic image and the sound image extreme point, locking the wave beam of the blade head of the target wind turbine generator from the wave beam set, and determining a target wave beam; and according to the target wave beam and an anomaly classifier generated by convolutional neural network training, determining an anomaly monitoring result of the target wind turbine generator blade. According to the scheme, the interference problem and the maintenance cost problem of existing monitoring can be solved, and compared with the prior art, the reliability and the accuracy of a detection result can be further improved.

The invention relates to a simulation digital human real-time intelligent voice interaction system and a simulation digital human real-time intelligent voice interaction method based on vision and a large model, and aims to solve the problems of inaccurate target speaker recognition, high response delay and the like in digital human voice interaction in a complex scene. The system circles an effective recognition range through a camera, triggers audio collection in combination with face detection, locks a target speaker and reduces noise by using lip movement recognition and sound image fusion technologies, converts the target speaker into a text through voice wake-up, generates an answer by means of a large language model (LLM) and knowledge retrieval enhancement (RAG) technologies, generates low-delay voice through a voice synthesis technology accelerated by the vLLM, and performs voice recognition on the target speaker. And driving the preloaded digital human image to synthesize a video stream and pushing the video stream to a front end for rendering in real time. Accurate pickup, low-delay interaction and rapid digital human image switching in a complex environment are realized, the accuracy and real-time performance of intelligent voice question answering are improved, and the method is suitable for government affair halls, exhibition halls and other scenes.

The invention discloses an acoustic imaging positioning method for intelligent monitoring of electric power engineering regional faults, which relates to the technical field of fault monitoring, and comprises the following steps: arranging a microphone array to collect sound wave signals, and monitoring and recording sound data in real time; determining the spatial position of a sound source by using an ultrasonic sound source positioning technology; sound source distribution generated by the equipment fault is displayed; displaying the relationship between the three-dimensional position of the equipment fault point and the surrounding environment; fault sound sources are classified, and types and reasons are determined; a diagnosis result is fed back in real time, a fault position is displayed, and inspection and repair suggestions are provided; and detecting the health condition of the equipment in combination with a machine learning model, predicting potential faults and giving out early warning. According to the invention, a high-precision microphone array and an ultrasonic sound source positioning technology are utilized, the distribution state of a sound source in a space is displayed in real time through an imaging mode of superposing an acoustic image and a visible light image, a partial discharge point, a gas leakage point and an equipment abnormal sound site are rapidly determined, and the inspection efficiency and the maintenance speed are improved.

The invention provides a method and device for realizing visual and auditory synchronous perception, and the method comprises the steps: obtaining the relative position information between a played video image and an audience and the type of a room where the audience is located under the condition that a video application is started; determining a volume adjustment gain based on the acquired relative position information and the type of the room where the audience is located; adjusting the sound to be played of the video application according to the volume adjustment gain; when the video is played, the relative orientation and distance between the image and the audience can be obtained, the type of the room can be judged, the audio signal to be played is dynamically adjusted according to the orientation and distance between the audience and the image and the type of the room, and the virtual sound image synchronously changing with the image is generated. The audience can obtain the same spatial perception in auditory sense and visual sense, and the immersion of video application is increased.

The invention provides a sound classification target model construction method and system, and relates to the technical field of sound signal processing, and the method comprises the steps: obtaining original sound data and auxiliary modal data, carrying out the sound data conversion processing of the original sound data, and obtaining corresponding multi-resolution sound image data; processing the auxiliary modal data to obtain a corresponding auxiliary modal space-time matrix; performing local feature processing on the multi-resolution sound image data and the auxiliary modal space-time matrix to obtain local sound image features and auxiliary modal features; constructing a hierarchical feature sequence space according to the local sound image features and the auxiliary modal features, and obtaining a corresponding fusion feature sequence; and constructing a sound classification target model according to the fusion feature sequence, and generating a dynamic sound index according to the sound classification target model, thereby obtaining a sound classification result, and improving the accuracy of sound classification.

The invention provides an intelligent sound image file arrangement method based on an event knowledge graph. The method comprises the following steps: acquiring sound image file data; for structured data in the sound image archive data, directly defining main attributes, other attributes and relationships of archive entities, and completing knowledge extraction; for semi-structured data in the sound image file data, knowledge extraction is completed through rule matching; for unstructured data in the sound image file data, converting audio and video data into unstructured text data, and intelligently extracting entities, relationships and events by utilizing an NLP algorithm and combining with a constructed file event Schema to complete knowledge extraction; and performing knowledge fusion on the knowledge extracted from the structured data, the semi-structured data and the unstructured data, and obtaining a triple based on the knowledge fusion to construct a visual knowledge graph. By constructing the event knowledge graph, archive personnel can be helped to catalog and index the archives more quickly and accurately.

The invention relates to the technical field of sonar, in particular to a side-scan sonar seabed line detection method. The method comprises the following steps: firstly, acquiring real-time echo signal data of the left and right sides of the side-scan sonar, then updating detection parameters of the left and right sides according to the echo signal data, and then respectively detecting the off-bottom heights of the left and right sides; judging whether the left and right terrain clearances are symmetrical or not, and correcting error data; and obtaining the ground clearance of the starboard and the starboard of the current frame, smoothing the result, and outputting a submarine line tracking result, and the smoothing method adopts a median filtering method or a Kalman filtering method or a delay filtering method. According to the method, a seabed line result can be accurately detected in real time instead of post-processing based on a side-scan sonar image, the method can be used for wet end grounding early warning, and a basis is provided for side-scan sonar image real-time slope distance correction, image equalization, target real size measurement and sound image real-time inlaying.

The invention discloses a spatial sound effect test method and system for a sound system. The method comprises the following steps: S1, synchronously acquiring multi-modal sensing data of a test environment in a preset stage; s2, generating a three-dimensional sound pressure distribution thermodynamic diagram, and constructing an initial sound field model based on the three-dimensional sound pressure distribution thermodynamic diagram; s3, generating a corrected sound field model, and synchronously recording vibration data acquired by the triaxial accelerometer; s4, generating a sound image positioning trajectory diagram, and calculating a deviation angle between an actual sound image position and a theoretical position; and S5, determining the sound effect quality score of each test stage. According to the method, a closed-loop test framework of physical environment perception, sound field real-time modeling, man-machine interaction analysis and fault linkage traceability is constructed, a full-process test solution covering a hardware state, acoustic characteristics and human factor perception is provided for an immersive audio system, and the spatial sound effect reliability of digital playing equipment is remarkably improved.

Disclosed is an audio codec that represents an immersive signal by a two-channel stereo signal that is a stereo rendering of the immersive signal and directional parameters. The directional parameters may be based on a perceptual model describing the direction of virtual speaker pairs to recreate the perceived location of dominant sounds. Audio processing at the decoder may be performed on the stereo signal in the frequency domain for multiple channel pairs using time-frequency tiles. Spatial localization of the audio signals may use a panning approach by applying weightings to the time-frequency tiles of the stereo signal for each output channel pair. The weightings for the time-frequency tiles may be derived based on the directional parameters, an analysis of the stereo signal, and the output channel layout. The weightings may be used to adaptively process the time-frequency tiles using a de-correlator to reduce or minimize spectral distortions from spatial rendering.

The invention discloses an intelligent sound equipment control method and system based on sound field adaptive adjustment, and relates to the technical field of sound equipment control, and the method comprises the steps: carrying out the time-frequency analysis and matching of a real-time audio stream after the interception of the real-time audio stream, and obtaining a real-time sound field template; positioning the real-time spatial pose coordinates of the user according to the binocular vision sensing data; carrying out sound wave propagation attenuation analysis in a listening area by taking the real-time spatial pose as a reference, and outputting a four-dimensional sound image spatial vector; performing space sound field mapping operation on the real-time sound field template by adopting the four-dimensional sound image space vector to obtain a real-time scene sound field; according to a space pose sequence obtained through camera skeleton time sequence tracking, sound field parameter pre-calculation based on trajectory prediction is executed, and low-delay updating of a real-time scene sound field is carried out according to a calculation result. The technical problem that the sound field cannot be adjusted in real time according to the user position and the environment change in the prior art is solved, and the technical effect of accurately and dynamically adjusting the sound field is achieved.

A pseudo-engine sound is generated based on the operating data of battery electric vehicle manual driving elements. The pseudo-engine sound is outputted from a plurality of speakers provided in a room of battery electric vehicle. The plurality of speakers includes a first speaker provided at a front portion of battery electric vehicle and a second speaker provided at a location other than the front portion. When the pseudo engine sound is output from a plurality of speakers, the sound pressures of the pseudo engine sounds output from the first and second speakers are adjusted based on the sound image setting data in battery electric vehicle.

The present disclosure relates to the technical field of audio control. Provided are a computer-implemented method for audio control, and an electronic device and a storage medium. The computer-implemented method for audio control comprises: on the basis of a specified measurement signal, performing acoustic effect testing on a target space, in order to obtain environmental response information, wherein the environmental response information comprises impulse response information and post-separation impulse response information; analyzing the environmental response information, in order to obtain acoustic characteristic information of the target space; on the basis of the acoustic characteristic information, performing compensation processing on audio to be processed, in order to obtain regulated audio; regulating gains of multiple channels corresponding to the regulated audio, in order to obtain re-regulated audio; and performing multi-channel collaborative optimization processing on the re-regulated audio, in order to obtain audio having a target effect. The method achieves precise compensation for spatial acoustic defects, resolves inter-channel crosstalk, improves the acoustic image localization and spatial perception, significantly improves the perceptual audio quality, and optimizes an output.

The invention discloses an underwater sonar periscopic system and discloses an underwater sonar detection method applied to the underwater sonar periscopic system, and the underwater sonar periscopic system comprises an acousto-optic integration module, a fixed telescopic rod, a power supply communication control unit and an acquisition and calculation unit. Wherein the acousto-optic integrated module is used for collecting sonar image and optical image information and orientation and attitude information of the acousto-optic integrated module; one end of the fixed telescopic rod is connected with the acousto-optic integrated module structure; the power supply communication control unit is electrically connected with the acousto-optic integration module; and the acquisition and calculation unit is electrically connected with the power supply communication control unit and is used for generating a tube well connection information plane overview according to the sonar image information and displaying optical image information. On the basis of the pipeline periscope, the underwater image sonar function is combined, and the conditions of pipeline structure characteristics above and below the water surface in a pipe well, branch pipe connection and the like can be found out at the same time.

The invention discloses a sound wave imaging method based on an unmanned aerial vehicle carrying technology, and relates to the technical field of sound wave imaging, and the method comprises the following steps: S1, decomposing an ultrasonic signal; s2, de-noising the signal; s3, performing frequency domain analysis; s4, feature extraction; and S5, accurate imaging. According to the method, the ultrasonic signal is decomposed into a plurality of IMF components with different center frequencies, the kurtosis of each IMF component is calculated, the noise component dominated by narrow-band interference is screened out, the interference of environmental noise on the acoustic signal is reduced, the attenuation of the acoustic intensity in the propagation process is prevented, and the wavelet denoising method has a good frequency selection characteristic and can be applied to the field of acoustic communication. Most of partial discharge characteristics of the denoised ultrasonic signals are still kept, the frequency domain characteristics of the partial discharge sound wave signals are fully extracted by analyzing the distribution condition of signal energy in the frequency domain, then the processed ultrasonic waves are sensed through the sound wave module, and waveform characteristics and imaging characteristics are obtained through sequential scanning, so that conditions are provided for sound wave imaging; and an accurate sound image cloud picture is obtained.

The utility model discloses an acoustic imaging device, and belongs to the field of acoustic imaging. The device comprises a microphone array, a data acquisition processing circuit and a connector. The microphone array is connected with the data acquisition and processing circuit, the data acquisition and processing circuit is connected with the connector, and the connector is connected with a mobile intelligent terminal directly or through a data line; the mobile intelligent terminal comprises but is not limited to an intelligent mobile phone and a tablet personal computer. In some embodiments, the connector and the mobile intelligent terminal are combined into a rigid whole, and in some embodiments, a clamp is further included and used for being combined into a rigid whole with the mobile intelligent terminal. Compared with an existing sound imager, the sound imager can display a detection result through the mobile intelligent terminal, can be conveniently combined with the mobile intelligent terminal to form a rigid whole, and is more portable, easier to use and lower in cost.

The embodiment of the invention provides a control method for sound partitions in a space, electronic equipment, a vehicle and a medium, and the method comprises the steps: determining a first sound source pulse response of a target sound field, the first sound source pulse response being a pulse response of a preset sound source in front of the target sound field; and based on an electro-acoustic transfer function of a bright area, the first sound source pulse response, an electro-acoustic transfer function of a dark area and an optimization function, determining a driving signal of each loudspeaker, namely, restraining the first sound source pulse response as a pulse response of a preset sound source in front of the target sound field, and finally, determining a more accurate loudspeaker driving signal through an optimization function. Therefore, it is clear that the sound image position of the replay sound field is right ahead of the listener, and the listening comfort is improved.

The invention discloses a panoramic sound effect control method, device and equipment. According to the method, a sound effect movement track used for indicating sound change characteristics can be constructed; on the basis of the sound effect motion trail, carrying out smoothing processing on the motion speed and angle parameters of a target sound source; determining all playing sound channels, and generating an acoustic image optimization parameter corresponding to each playing sound channel; and optimizing the smoothed target sound source based on the sound image optimization parameter of each playing sound channel, and rendering the optimized corresponding target sound source in each playing sound channel. Visibly, according to the method and the device, the problems of sound image breakage and speed mismatch distortion in the motion simulation process can be avoided by accurately grasping the sound change characteristics, optimizing the sound motion parameters and individually regulating and controlling each playing sound channel, the natural fluency of the playing effect of the target sound source is comprehensively improved, and the user experience is improved. And the playing quality of the target sound source and the auditory experience of audiences are comprehensively improved.

A method comprises: obtaining softmask values for frequency bins of time-frequency tiles representing an audio signal; reducing, or expanding and limiting, the softmask values; and applying the reduced, or expanded and limited, softmask values to the frequency bins to create a time-frequency representation of an estimated target source. An alternative method comprises, for each time-frequency tile: obtaining softmask values; applying the softmask values to the frequency bins to create a time-frequency domain representation of an estimated target source; obtaining a panning parameter and a source concentration estimates for the target source; determining, using the panning parameter estimate and the softmask values, a magnitude for the time-frequency representation of the estimated target source; determining, using the panning parameter estimate and the source phase concentration estimate, a phase for the time-frequency representation of the estimated target source; and combining the magnitude and the phase.

The invention provides a monitoring method based on blade rotation sound and equipment for auxiliary monitoring, and the method comprises the steps: capturing weak airflow disturbance sound wave signals generated during the rotation of blades of a wind driven generator through a non-contact acoustic sensor array, and carrying out the standardization preprocessing of the captured sound wave signals; the method comprises the following steps: performing dynamic filtering processing on environmental noise of sound wave signals, integrating acoustic sensor data from different positions to form a comprehensive sound image, applying deep learning to model and predict the health condition of a blade, and integrating edge calculation, so that a part of data processing tasks are completed in a place close to an acoustic sensor; the Internet of Things platform is adopted to realize interconnection and intercommunication between equipment, implement a cloud edge collaborative optimization mode and automatically allocate tasks to the most appropriate processing node, sensors do not need to be installed on the blades, physical influences on the equipment are avoided, environmental noise is effectively filtered out, the signal-to-noise ratio of target sound wave signals is increased, and therefore the monitoring precision is improved.

The invention provides a new energy automobile cabin abnormal noise detection method and device based on sound image fusion, and belongs to the technical field of noise detection. The method comprises the following steps: synchronously acquiring multi-channel audio data and video data through a multi-channel microphone array and a camera respectively; determining an abnormal noise type and extracting an abnormal noise signal; an abnormal noise positioning position is obtained through an improved space contraction fast method based on random search, namely an improved SRC method; calibrating the extracted abnormal noise positioning position and an image in the video data, and displaying a noise source in the image in the form of a sound field thermodynamic diagram to obtain a sound field diagram after sound-image fusion; according to the method, more efficient and more visual noise anomaly detection of the new energy automobile cabin can be realized, the accuracy of noise source positioning can be remarkably improved, the efficiency of abnormal noise detection of the new energy automobile cabin can be greatly improved, and the method can be widely applied to noise monitoring and fault diagnosis of the new energy automobile cabin.

The invention discloses a distribution line defect positioning method based on beam imaging, and the method comprises the following steps: 1, enabling an unmanned plane to carry a wireless acoustic imager and a camera, and enabling the wireless acoustic imager to be provided with a microphone array; step 2, collecting array sound wave signals of the distribution line to be detected through a microphone array; the camera collects video pictures in real time; step 3, performing time delay compensation on the array sound wave signals based on the prediction model; step 4, analyzing sound source distribution data to carry out defect positioning; and 5, fusing the sound source distribution data and the video picture to generate a sound image cloud picture containing the sound source distribution data and the video picture. The structure is simple, the design is reasonable, in the process of outputting the time delay predicted value of the array sound wave signal based on the prediction model and constructing the spatial spectrum according to the covariance matrix, firstly, singular value decomposition is performed on the covariance matrix, the calculation process is simplified, the calculation efficiency is improved, the high calculation requirement in real-time processing is further met, and the use effect is good.

An audio output system comprising: an audio output device configured to output sound content for auditory stimulation of infants and young children; a user device configured to control the audio output device; and a server connected to the user device and the audio output device through communication networks, respectively, and configured to provide a service environment for controlling the audio output device to the user device, wherein the audio output device includes an audio output station including a sound figure corresponding to the sound content and a docking space to which the sound figure is docked, and configured to recognize the sound figure docked to the docking space and to output the sound content corresponding to the recognized sound figure, wherein the service environment includes a function of changing the sound content corresponding to the sound figure, and wherein the server is configured to receive a request to change the sound content corresponding to the sound figure from the user device and to process the request to change the sound content corresponding to the sound figure in consideration of a state of the audio output device.

The invention discloses a sound console digital audio signal processing method and system, a product and a medium, and relates to the field of voice or sound processing, and the method comprises the steps: obtaining a plurality of paths of audio input signals, carrying out the time-frequency domain conversion, analyzing the frequency distribution rule, extracting the fundamental frequency and overtone structure features, and building a tone feature fingerprint database. Then obtaining a preset standard audio signal, extracting a multi-dimensional feature vector, and matching the multi-dimensional feature vector with the fingerprint database to obtain a feature parameter group; on the basis, a coordination index system including the overall sound coordination degree, the sound level definition and the spatial sound image balance degree is constructed. A coordination index of an input signal is calculated in real time and compared with a standard signal, and an adjustment value is obtained. And finally, in combination with fingerprint database matching features, calculating a target audio processing parameter combination containing balanced, dynamic and spatial parameters. By implementing the method, the sound quality of multiple paths of audio signals can be improved.

The invention discloses a partial discharge detection method based on phase and frequency synchronization, and the method comprises the following steps: obtaining an acoustic signal in the operation of electrical equipment and an externally applied voltage waveform of the electrical equipment, generating an acoustic image spectrum, and adjusting the frequency of the externally applied voltage waveform to enable the frequency to be consistent with the reference frequency in the acoustic image spectrum; the externally applied voltage waveforms are matched and fused with the sound image atlas to obtain an integrated signal atlas; intercepting a complete cycle wave from a signal spectrum corresponding to each discharge source in the optimized integrated signal spectrum, and analyzing complete cycle data to obtain a PRPD spectrum; and comparing data information contained in the PRPD atlas with different types of insulation defects in a database, and determining which type of insulation defect the partial discharge belongs to and recording. According to the partial discharge detection method based on phase and frequency synchronization, the acoustic imaging and phase synchronization technology is combined, accurate partial discharge detection is achieved, the acoustic signals and the electrical signals can be synchronized, and the detection precision and reliability are greatly improved.

The invention discloses a vehicle-mounted audio augmented reality system and method based on virtual-real fusion space anchoring, and relates to the technical field of intelligent cabin man-machine interaction, and the system comprises a controller, an augmented reality display device, a distributed loudspeaker array, and a sensor group. The controller receives the virtual image pixel coordinates, the eyeball position coordinates and the vehicle state semantic identifier, and stores a cabin three-dimensional digital model. The system converts a dynamic pixel coordinate into a three-dimensional virtual sound source coordinate by utilizing perspective inverse projection through vision-space mapping logic; the retrieval model anchors the semantic identifier to the physical component coordinates through the semantic-space mapping logic. The audio rendering module calculates a speaker drive gain based on the virtual sound source coordinates to synthesize a virtual sound source. By constructing a unified cabin three-dimensional digital model and a double-channel mapping mechanism, spatial alignment of an audio sound image, an AR visual track and a physical part of a vehicle body is realized, and audio-visual perception splitting is eliminated.

The invention discloses a self-adaptive control method for a sound field of an in-vehicle sound box based on a head position, and the main design concept of the self-adaptive control method lies in that the dynamic optimization of the sound field in the vehicle is carried out by tracking the obvious change of the head position caused by the change of the sitting posture of a driver and passengers in real time, so as to adjust the output effect of a loudspeaker in the vehicle in a self-adaptive manner. Specifically, on the basis of real-time detection of the head position of a person in a vehicle, a control strategy is calculated according to a dynamic sound field: time delay is compensated to solve the time difference problem of sound wave propagation, and the dynamic accuracy of sound image positioning is ensured; through a gain compensation mode, sound pressure level differences of loudspeakers in a vehicle with dynamic different distances relative to the head of a user are balanced, and frequency response flatness is maintained; and through phase correction, phase interference generated by spatial position difference caused by head position change is eliminated, and sound field coherence is optimized. According to the invention, the follow-up adaptation effect of the person in the vehicle and the sound field in the vehicle is realized, and the acoustic quality in the vehicle is obviously improved.