Spatial audio calibration method and system of multichannel sound system

Abstract

The invention discloses a spatial audio calibration method for a multichannel sound system, which comprises the following steps of: firstly, acquiring spatial setting data of a target sound system, and setting a simulation space according to the spatial setting data; measuring points are uniformly arranged in the simulation space, a simulation sound source is arranged according to the sound of each sound channel, and a calibration signal is sent. Collecting the audio data of each test point and the binaural audio data difference of the binaural test points; theoretical sound pressure is obtained by calculating the distance between the calibration sensor and the sound source, sound pressure loss and sound intensity loss are calculated in a preset sampling interval, and noise intensity is calculated outside the interval. And writing the data into corresponding test points of the simulation space to execute calibration, and adjusting the output of the simulation sound source according to the audio data requirement of the preset space. And recording simulation sound source adjustment data of each double-ear test point, and adjusting preset spatial audio data according to the simulation sound source adjustment data when detecting that a person is at a specified position. According to the method, multiple audio elements and human auditory characteristics are accurately considered, and the audio calibration effect and the user experience of the multi-channel sound system can be effectively improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of acoustic devices, and particularly relates to a spatial audio calibration method and system for a multi-channel audio system. Background Art

[0002] With the continuous improvement of people's requirements for audio experience, multi-channel audio systems are increasingly widely used in scenarios such as home theaters, professional recording studios, and large conference rooms. The multi-channel audio system aims to create a more realistic and immersive audio environment for users through the coordinated work of multiple channels. However, in practical applications, the audio calibration of multi-channel audio systems faces many challenges.

[0003] Complex acoustic environment: Different spatial environments, such as the size, shape, and decoration materials of the room, will have a significant impact on the propagation of sound. During the propagation of sound, phenomena such as reflection, refraction, and diffraction will occur, resulting in uneven distribution of audio signals in space, breaking the sound balance between channels, and seriously affecting the audio restoration quality.

[0004] Limitations of calibration methods: Traditional calibration methods for multi-channel audio systems often rely on simple measurement tools and empirical formulas, and it is difficult to comprehensively consider complex spatial audio characteristics. For example, some methods only calibrate by measuring the frequency response of the audio system, ignoring the propagation path and phase difference of sound in space; some other methods consider spatial factors, but the calibration process is cumbersome, requires professional technicians to operate, and the calibration accuracy is limited, unable to meet users' demands for high-quality audio.

[0005] Neglect of human ear auditory characteristics: The human ear's perception of sound is based on factors such as the time difference, sound pressure difference, and phase difference between the two ears. However, existing calibration methods rarely consider these auditory characteristics of the human ear, resulting in a deviation between the calibrated audio effect and the actual auditory perception, and unable to provide users with the best audio experience. Summary of the Invention

[0006] Therefore, the present invention provides a spatial audio calibration method and system for a multi-channel audio system.

[0007] In the first aspect of the present invention, a spatial audio calibration method for a multi-channel audio system is provided, including the following steps:

[0008] S1. Obtain the spatial setting data of the target audio system;

[0009] S2. Set a simulated space according to the spatial setting data;

[0010] S3. Set multiple measurement points in the simulation space, set corresponding simulated sound sources in the simulation space according to the sound settings of each channel in the spatial audio data, and send calibration signals through the simulated sound sources;

[0011] S4. Collect the audio data at each of the test points when receiving the calibration signal;

[0012] S5. Set at least one set of binaural sub - test points at each of the test point positions, and collect the binaural audio data difference at each of the binaural sub - test points when receiving the calibration signal;

[0013] S6. Set calibration sensors in the target sound system corresponding to the test point positions, and play the calibration signal through the sound of each channel;

[0014] S7. Collect the calibration audio data when each of the sensors receives the calibration signal,

[0015] S8. Obtain the distance between the calibration sensor and the sound source, and calculate its theoretical sound pressure;

[0016] Within a preset sampling interval, obtain the sound pressure difference between one calibration sensor and its adjacent sensor, and the sound pressure received by a non - adjacent calibration sensor, and calculate the sound pressure loss of the set sensor;

[0017] S8. Calculate the theoretical sound intensity between the calibration sensor and the sound source;

[0018] Within a preset sampling interval, obtain the sound intensity difference between one calibration sensor and its adjacent sensor, and the sound intensity received by a non - adjacent calibration sensor, and calculate the sound intensity loss of the set sensor;

[0019] Outside the preset sampling interval, obtain the noise sound intensity with a direction different from the theoretical sound intensity vector caused by reflection and diffraction, and calculate the noise sound intensity caused by the set sensor;

[0020] S9. Write the sound pressure loss, the sound intensity loss and the noise sound intensity into the corresponding test points in the simulation space to perform calibration, and play the calibration signal simultaneously at each simulated sound source;

[0021] S10. Collect the time difference, sound pressure difference, sound intensity difference and phase difference of the audio received at the positions of the binaural sub - test points;

[0022] S11. Adjust the output of each simulated sound source to conform to the preset spatial audio data according to the time difference, sound pressure difference, sound intensity difference and phase difference required by the preset spatial audio data;

[0023] S12. Obtain the analog sound source adjustment data of the current binaural sub-test points, traverse each of the binaural sub-test points, and record the analog sound source adjustment data of each of the binaural sub-test points;

[0024] S13. When it is detected that a person is at the specified position of the target audio system, perform the adjustment of the preset spatial audio data according to the analog sound source adjustment data.

[0025] As a preferred method, the simulated space is arranged according to the settings of the target audio system in the actual space, including parameters such as the positions, orientations, and heights of the speakers of each channel in the multi-channel audio system, making it consistent with the actual space settings; at the same time, according to the actual space situation, obstacles are reasonably set in the simulated space, and the positions, shapes, and materials of the obstacles are simulated according to the characteristics of the obstacles in the actual space.

[0026] As a preferred method, the arrangement method of the measurement points is: in the simulated space, a plurality of measurement points are arranged in a uniform grid manner.

[0027] As a preferred method, the calibration signal is a white noise signal of a preset frequency and is sent to the multi-channel audio system through a wireless transmission method.

[0028] As a preferred method, the calibration sensor collects audio data at a preset sampling frequency and a preset quantization accuracy.

[0029] In the second aspect of the present invention, a spatial audio calibration system for a multi-channel audio system is provided, including:

[0030] A calibration device, configured to generate a calibration signal and send it to the multi-channel audio system, receive the audio data transmitted by the audio collection device, analyze and process the audio data according to a preset calibration algorithm, calculate an audio parameter adjustment value in combination with the spatial audio gap data between the two ears of a person at the measurement point, and send the adjustment value to the multi-channel audio system;

[0031] A multi-channel audio system, including speakers of multiple channels, configured to receive the calibration signal sent by the calibration device and play it in sequence, and at the same time receive the audio parameter adjustment value sent by the calibration device to adjust the audio parameters of each channel;

[0032] An audio collection device, arranged at each measurement point in the simulated space, configured to collect the audio data when playing the calibration signal, and at the same time collect the spatial audio gap data at the positions of the two ears of a person at the measurement point, and transmit the collected audio data to the calibration device;

[0033] A simulated space construction module, configured to arrange the multi-channel audio system and set obstacles in the simulated space according to the settings of the target audio system in the actual space to make it consistent with the actual space;

[0034] The first sensor array is arranged at the boundaries and key positions of the simulation space and is used to obtain the structural data of the simulation space and construct a model of the simulation space, including the size, shape of the space, and the distribution of internal obstacles.

[0035] The second sensor array is arranged around the sound source and is used to obtain the sound data of the sound source and the echo data generated by it in the simulation space.

[0036] The third sensor array is arranged at each simulation point to assist the audio acquisition device in obtaining more accurate audio information, including local sound pressure changes and subtle phase differences of the audio.

[0037] The above technical solution of the present invention has the following advantages compared with the prior art:

[0038] Precise calibration: By obtaining the spatial setting data of the target audio system, accurately setting the simulation space, and reasonably arranging measurement points and sensors in the simulation space to comprehensively collect audio data, including information such as sound pressure, sound intensity, time difference, and phase difference, and considering the human ear's auditory characteristics, it is possible to more accurately calculate the adjustment values of the audio parameters of each channel, achieve precise calibration of the multi-channel audio system, and significantly improve the audio restoration quality.

[0039] Adapt to complex environments: The simulation space is constructed according to the settings of the actual space, including the simulation of obstacles, and fully considers the propagation characteristics of sound in a complex space environment. This enables the calibrated audio system to better adapt to different actual usage environments and can provide stable and high-quality audio effects regardless of the size and shape of the space.

[0040] Optimize the auditory experience: Collect the audio data difference at the binaural test points and adjust the output of the simulated sound source according to the time difference, sound pressure difference, sound intensity difference, and phase difference required by the human ear's auditory characteristics, which can maximally meet the auditory needs of the human ear, create a more realistic and immersive audio environment for users, and greatly enhance the user's audio experience.

[0041] Intelligent and convenient: During the calibration process, the system automatically collects and analyzes data, calculates the adjustment values according to the preset algorithm, and does not require the user to have professional audio knowledge and complex operation skills. At the same time, when it detects that a person is in the specified position of the target audio system, it can automatically adjust the spatial audio data according to the pre-recorded simulated sound source adjustment data, realizing intelligent audio calibration and optimization, and improving the convenience of use. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 is a structural block diagram of the system provided by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0043] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0044] In the first aspect of the embodiments of the present disclosure, a method for spatial audio calibration of a multi-channel audio system is provided, including the following steps:

[0045] S1. Obtain the spatial setting data of the target audio system;

[0046] S2. Set a simulated space according to the spatial setting data;

[0047] S3. Set a plurality of measurement points in the simulated space, set corresponding simulated sound sources in the simulated space according to the sound settings of each channel in the spatial audio data, and send calibration signals through the simulated sound sources;

[0048] S4. Collect audio data when each of the test points receives the calibration signal;

[0049] S5. Set at least one set of binaural sub-test points at each of the test point positions, and collect the difference in binaural audio data when each of the binaural sub-test points receives the calibration signal;

[0050] S6. Set calibration sensors in the target audio system corresponding to the test point positions, and play the calibration signal through each channel of the audio;

[0051] S7. Collect calibration audio data when each of the sensors receives the calibration signal,

[0052] S8. Obtain the distance between the calibration sensor and the sound source, and calculate its theoretical sound pressure;

[0053] Within a preset sampling interval, obtain the sound pressure difference between one calibration sensor and its adjacent sensor, and the sound pressure received by a non-adjacent calibration sensor, and calculate the sound pressure loss of the set sensor;

[0054] S8. Calculate the theoretical sound intensity between the calibration sensor and the sound source;

[0055] Within a preset sampling interval, obtain the sound intensity difference between one calibration sensor and its adjacent sensor, and the sound intensity received by a non-adjacent calibration sensor, and calculate the sound intensity loss of the set sensor;

[0056] Outside the preset sampling interval, obtain the noise sound intensity caused by reflection and diffraction that is different from the direction of the theoretical sound intensity vector, and calculate the noise sound intensity caused by setting the sensor;

[0057] S9. Write the sound pressure loss, the sound intensity loss, and the noise sound intensity into the corresponding test points in the simulation space to perform calibration, and play the calibration signal simultaneously at each simulated sound source;

[0058] S10. Collect the time difference, sound pressure difference, sound intensity difference, and phase difference of the audio received at the positions of the binaural sub-test points;

[0059] S11. Adjust the output of each simulated sound source to conform to the preset spatial audio data according to the time difference, sound pressure difference, sound intensity difference, and phase difference required by the preset spatial audio data;

[0060] S12. Obtain the simulated sound source adjustment data of the current binaural sub-test point, traverse each binaural sub-test point, and record the simulated sound source adjustment data of each binaural sub-test point;

[0061] S13. When it is detected that a person is sampled at a specified position in the target audio system, adjust the preset spatial audio data according to the simulated sound source adjustment data.

[0062] As a preferred method, the simulation space is arranged according to the settings of the target audio system in the actual space, including parameters such as the positions, orientations, and heights of the speakers of each channel in the multi-channel audio system, making it consistent with the actual space settings; at the same time, according to the actual situation of the actual space, obstacles are reasonably set in the simulation space, and the positions, shapes, and materials of the obstacles are simulated according to the characteristics of the obstacles in the actual space.

[0063] As a preferred method, the arrangement method of the measurement points is: in the simulation space, a plurality of measurement points are arranged in a uniform grid manner.

[0064] As a preferred method, the calibration signal is a white noise signal with a preset frequency, and is sent to the multi-channel audio system through a wireless transmission method.

[0065] As a preferred method, the calibration sensor collects audio data at a preset sampling frequency and a preset quantization accuracy.

[0066] In the second aspect of the embodiments of the present disclosure, as Figure 1 shown, a spatial audio calibration system for a multi-channel audio system is provided, including:

[0067] A calibration device is used to generate a calibration signal and send it to a multi-channel audio system. It receives the audio data transmitted by an audio acquisition device, analyzes and processes the audio data according to a preset calibration algorithm, combines the spatial audio gap data between the two ears of a person at the measurement point, calculates the audio parameter adjustment value, and sends the adjustment value to the multi-channel audio system;

[0068] A multi-channel audio system includes speakers of multiple channels. It is used to receive the calibration signal sent by the calibration device and play it in sequence. At the same time, it receives the audio parameter adjustment value sent by the calibration device and adjusts the audio parameters of each channel;

[0069] An audio acquisition device is arranged at each measurement point in the simulated space. It is used to collect the audio data when the calibration signal is played, and at the same time collect the spatial audio gap data at the positions of the two ears of a person at the measurement point, and transmit the collected audio data to the calibration device;

[0070] A simulated space construction module is used to arrange the multi-channel audio system and set obstacles in the simulated space according to the settings of the target audio system in the actual space, so that it is consistent with the actual space;

[0071] The first sensor array is set at the boundaries and key positions of the simulated space. It is used to obtain the structure data of the simulated space and construct a model of the simulated space, including the size, shape of the space and the distribution of internal obstacles;

[0072] The second sensor array is arranged around the sound source. It is used to obtain the sound generation data of the sound source and the echo data generated by it in the simulated space;

[0073] The third sensor array is set at each simulation point to assist the audio acquisition device in obtaining more accurate audio information, including local sound pressure changes and subtle phase differences of the audio.

[0074] The above technical solutions of the embodiments of the present disclosure have the following advantages compared with the prior art:

[0075] Precise calibration: By obtaining the spatial setting data of the target audio system, accurately setting the simulated space, and reasonably arranging measurement points and sensors in the simulated space, comprehensively collecting audio data, including information such as sound pressure, sound intensity, time difference, and phase difference, and considering the auditory characteristics of the human ear, it is possible to more accurately calculate the audio parameter adjustment values of each channel, realize the precise calibration of the multi-channel audio system, and significantly improve the audio restoration quality.

[0076] Adapt to complex environments: The simulation space is constructed according to the settings of the actual space, including the simulation of obstacles, fully considering the propagation characteristics of sound in complex space environments. This enables the calibrated audio system to better adapt to different actual usage environments and provide stable and high-quality audio effects regardless of the size and shape of the space.

[0077] Optimize the auditory experience: Collect the audio data differences at the binaural sub-test points and adjust the output of the simulated sound source according to the time difference, sound pressure difference, sound intensity difference, and phase difference required by the human ear's auditory characteristics, which can maximally meet the auditory needs of the human ear, create a more realistic and immersive audio environment for users, and greatly enhance the user's audio experience.

[0078] Intelligent and convenient: During the calibration process, the system automatically collects and analyzes data, calculates the adjustment values according to the preset algorithm, without the need for users to have professional audio knowledge and complex operation skills. At the same time, when it detects that a person is in the designated position of the target audio system, it can automatically execute the adjustment of the spatial audio data according to the pre-recorded simulated sound source adjustment data, realizing intelligent audio calibration and optimization, and improving the convenience of use.

[0079] The flowcharts and block diagrams in the accompanying drawings show the possible architectures, functions, and operations of the device, method, and computer program product according to the embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code that contains one or more executable instructions for implementing the specified logical function. In some alternative implementations, the functions marked in the block may occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in a different order than disclosed in the descriptions. Sometimes, there is no specific order between different operations or steps. For example, two consecutive operations or steps may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. Each block in the block diagram and / or flowchart, as well as the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware device for performing the specified function or action, or can be implemented by a combination of dedicated hardware and computer instructions.

Claims

1. A method for calibrating spatial audio of a multi-channel sound system, characterized in that: The steps include: S1. Obtaining spatial setting data of a target sound system; S2, setting a simulation space according to the space setting data; S3, setting a plurality of measurement points in the simulated space, setting a corresponding simulated sound source in the simulated space according to the sound settings of each channel in the spatial audio data, and sending a calibration signal through the simulated sound source; S4, collecting audio data when each of the test points receives the calibration signal; S5, setting at least one group of binaural sub-test points at each of the test points, and collecting binaural audio data differences when each of the binaural sub-test points receives the calibration signal; S6, setting a calibration sensor in the target sound system corresponding to the test point position, and playing the calibration signal through the sound system of each channel; S7, collecting calibration audio data when each sensor receives a calibration signal, S8, obtaining the distance between the calibration sensor and the sound source, and calculating the theoretical sound pressure; Within a preset sampling interval, obtaining the sound pressure difference between a calibration sensor and its adjacent sensor, and the sound pressure received by a non-adjacent calibration sensor, and calculating the sound pressure loss of the sensor; S8, calculating the theoretical sound intensity between the calibration sensor and the sound source; Within a preset sampling interval, obtaining the sound intensity difference between one calibration sensor and its adjacent sensor, as well as the sound intensity received by the non-adjacent calibration sensors, and calculating the sound intensity loss of the set sensor; Outside the preset sampling interval, the noise intensity caused by reflection and diffraction and having a direction different from the theoretical sound intensity vector is obtained, and the noise intensity caused by setting the sensor is calculated; S9, writing the sound pressure loss, the sound intensity loss and the noise intensity into corresponding test points in the simulated space to perform calibration, and playing the calibration signal at each simulated sound source simultaneously; S10, collecting the time difference, sound pressure difference, sound intensity difference and phase difference of the audio received at the positions of the binaural sub-test points; S11, adjusting the output of each analog sound source to conform to the preset spatial audio data according to the time difference, sound pressure difference, sound intensity difference and phase difference required by the preset spatial audio data; S12, obtaining the simulated sound source adjustment data of the current binaural sub-test point, traversing each of the binaural sub-test points, and recording the simulated sound source adjustment data of each of the binaural sub-test points; S13: When it is detected that a person is at a designated position of the target sound system, the preset spatial audio data is adjusted according to the simulated sound source adjustment data.

2. The spatial audio calibration method of a multi-channel sound system according to claim 1, characterized in that: The simulated space is arranged according to the setting of the target sound system in the actual space, including parameters such as the position, orientation and height of each channel speaker in the multi-channel sound system, so that it is consistent with the actual space setting; at the same time, obstacles are reasonably set in the simulated space according to the situation of the actual space, and the position, shape and material of the obstacles are simulated according to the characteristics of the obstacles in the actual space.

3. The spatial audio calibration method of a multi-channel sound system according to claim 1, characterized in that: The measuring points are arranged in a manner that: multiple measuring points are arranged in a uniform grid manner in the simulation space.

4. The spatial audio calibration method of a multi-channel sound system according to claim 1, characterized in that: The calibration signal is a white noise signal of a preset frequency and is sent to the multi-channel sound system via wireless transmission.

5. The spatial audio calibration method of a multi-channel sound system according to claim 1, characterized in that: The calibration sensor collects audio data at a preset sampling frequency and a preset quantization accuracy.

6. A spatial calibration system for a multi-channel sound system, characterized in that A calibration device, used to generate a calibration signal and send it to the multi-channel sound system, receive audio data transmitted by the audio acquisition device, analyze and process the audio data according to a preset calibration algorithm, calculate the audio parameter adjustment value based on the spatial audio difference data between the two ears of the person at the measurement point, and send the adjustment value to the multi-channel sound system; A multi-channel sound system, comprising a plurality of channel speakers, for receiving calibration signals sent by a calibration device and playing them in sequence, and at the same time receiving audio parameter adjustment values ​​sent by the calibration device and adjusting the audio parameters of each channel; The audio acquisition device is arranged at each measurement point in the simulation space, and is used to collect audio data when playing the calibration signal, and collect spatial audio difference data of the binaural position of the person at the measurement point, and transmit the collected audio data to the calibration device; A simulation space construction module is used to arrange a multi-channel sound system and set obstacles in the simulation space according to the setting of the target sound system in the actual space, so as to make it consistent with the actual space; The first sensor array is arranged at the boundary and key positions of the simulation space to obtain the structural data of the simulation space and construct a model of the simulation space, including the size and shape of the space and the distribution of internal obstacles; A second sensor array is arranged around the sound source and is used to obtain the sound data of the sound source and the echo data generated by the sound source in the simulated space; The third sensor array is set at each simulation point to assist the audio acquisition device in obtaining more accurate audio information, including local sound pressure changes and subtle phase differences of the audio.

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