Acoustic system control method based on scene type and related device

Abstract

The invention provides an acoustic system control method based on a scene type and a related device, and the method comprises the steps: carrying out the comprehensive analysis of a scene based on the collected real-time scene data in a current site, and obtaining the scene type of the current site at each time; when it is monitored that the current site is switched from the first scene type to the second scene type, based on a first acoustic parameter corresponding to the first scene type and a second acoustic parameter corresponding to the second scene type, an acoustic system is controlled to be transitionally switched to a target acoustic parameter; environment data of the current site at the time corresponding to the second scene type are collected; optimizing the second acoustic parameter based on the environmental data to obtain an optimized acoustic parameter; and controlling acoustic output parameters of an acoustic system of the current site based on the optimized acoustic parameters. According to the method, the problem of adapting to dynamic changes of field acoustic characteristics is solved, a good acoustic effect can be obtained in various scenes and environments, and the sound quality of an acoustic system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of acoustic system control, and particularly to an acoustic system control method and related device based on scene types. Background Art

[0002] A relatively common existing acoustic system control method is equalization control based on fixed parameters. This method involves, at the initial stage of installing an acoustic system, using professional acoustic measurement equipment to measure the acoustics of a venue to obtain acoustic characteristic data of the venue, such as frequency response, reverberation time, etc. Then, based on these measurement data, fixed equalization parameters are set in audio processing equipment (such as mixing consoles, digital signal processors, etc.) to attempt to compensate for the acoustic defects of the venue. For example, for a venue with peaks or valleys in the frequency response, by setting attenuation or boost equalization parameters at the corresponding frequencies, the entire frequency response is made to tend to be as flat as possible.

[0003] However, with changes in the venue usage scenario, such as switching from a conference mode to a performance mode, or changes in factors such as the number of people, their distribution, and the placement of props within the current venue, the acoustic characteristics of the venue will also change significantly. The equalization control method based on fixed parameters cannot adapt to the dynamic changes in the acoustic characteristics of the venue. Because once the equalization parameters are set, they remain unchanged. When the acoustic characteristics of the venue change, the previously set equalization parameters can no longer effectively compensate for the acoustic defects, resulting in a decline in sound quality. Summary of the Invention

[0004] The present invention provides an acoustic system control method and related device based on scene types to solve the problem of adapting to the dynamic changes in the acoustic characteristics of a venue, ensuring good acoustic effects can be obtained in various scenarios and environments, and improving the sound quality of the acoustic system.

[0005] In a first aspect, the present invention provides an acoustic system control method based on scene types, including:

[0006] Performing comprehensive scene analysis based on the collected real-time scene data within the current venue to obtain the scene type of the current venue at each moment;

[0007] When it is detected that the current venue switches from a first scene type to a second scene type, based on the first acoustic parameters corresponding to the first scene type and the second acoustic parameters corresponding to the second scene type, controlling the acoustic system to transition and switch to target acoustic parameters;

[0008] Collecting the environmental data of the current venue at the time corresponding to the second scene type;

[0009] Optimizing the target acoustic parameters based on the environmental data to obtain optimized acoustic parameters;

[0010] Control the acoustic output parameters of the acoustic system of the current venue based on the optimized acoustic parameters.

[0011] In a second aspect, the present invention further provides an acoustic system control device based on a scene type, which is applied to the acoustic system control method based on a scene type as described in the first aspect; the device includes:

[0012] A scene recognition module, configured to perform comprehensive scene analysis based on the real-time scene data collected in the current venue to obtain the scene type of the current venue at each time;

[0013] An acoustic parameter switching module, configured to, when it is monitored that the current venue switches from a first scene type to a second scene type, control the acoustic system to transition and switch to target acoustic parameters based on the first acoustic parameters corresponding to the first scene type and the second acoustic parameters corresponding to the second scene type;

[0014] An environment monitoring module, configured to collect environment data of the current venue at the time corresponding to the second scene type;

[0015] An acoustic parameter optimization module, configured to optimize the second acoustic parameters based on the environment data to obtain optimized acoustic parameters;

[0016] An acoustic system control module, configured to control the acoustic output parameters of the acoustic system of the current venue based on the optimized acoustic parameters.

[0017] In a third aspect, the present invention further provides an electronic device, including: a memory, configured to store a computer software program; a processor, configured to read and execute the computer software program, thereby implementing the acoustic system control method based on a scene type as described in any one of the above.

[0018] In a fourth aspect, the present invention further provides a non-transitory computer-readable storage medium, in which a computer software program is stored, and when the computer software program is executed by a processor, the acoustic system control method based on a scene type as described in any one of the above is implemented.

[0019] In a fifth aspect, the present invention further provides a computer program product, including a computer program, and when the computer program is executed by a processor, the acoustic system control method based on a scene type as described in any one of the above is implemented.

[0020] The acoustic system control method based on scene types provided by the embodiments of the present invention can, through scene recognition, real-time recognize changes in the usage scene of the current venue, achieve smooth transition of acoustic parameters between different scenes through parameter switching, optimize the acoustic parameters based on the environmental data of the current venue, so that the optimized acoustic parameters can better adapt to the minute acoustic changes within the current venue, thereby effectively solving the problem that the existing equalization control method based on fixed parameters cannot adapt to the dynamic changes of the acoustic characteristics of the venue, ensuring good acoustic effects in various scenes and environments, and improving the sound quality of the acoustic system. Description of the Drawings

[0021] Figure 1 is a flowchart of the acoustic system control method based on scene types provided by the embodiments of the present invention;

[0022] Figure 2 is a structural diagram of the acoustic system control device based on scene types provided by the embodiments of the present invention;

[0023] Figure 3 is an embodiment diagram of the electronic device provided by the embodiments of the present invention;

[0024] Figure 4 is an embodiment diagram of the computer-readable storage medium provided by the embodiments of the present invention. Detailed Embodiments

[0025] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with 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. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present invention.

[0026] In the description of the present invention, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of the described features. In the description of the present invention, "a plurality" means two or more, unless otherwise specifically defined.

[0027] In the description of the present invention, the term "for example" is used to mean "serving as an example, illustration, or explanation". Any embodiment described as "for example" in the present invention is not necessarily construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to implement and use the present invention. In the following description, details are set forth for purposes of explanation. It should be understood that those of ordinary skill in the art can recognize that the present invention can be implemented without these specific details. In other instances, well-known structures and processes are not elaborated in detail to avoid obscuring the description of the present invention with unnecessary details. Therefore, the present invention is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.

[0028] Optionally, referring to Figure 1 as shown, Figure 1 is a flowchart of the method for controlling an acoustic system based on scene types provided by the present invention. In the embodiments of the present invention, the execution subject of the method for controlling an acoustic system based on scene types is an acoustic system control device. Therefore, the method for controlling an acoustic system based on scene types includes:

[0029] Step 10, perform comprehensive scene analysis based on the collected real-time scene data in the current venue to obtain the scene type of the current venue at each moment.

[0030] Optionally, the acoustic system control device collects real-time scene data in the current venue, including real-time image data obtained through a camera and real-time audio data obtained through a microphone.

[0031] Further, the acoustic system control device identifies the real-time image data and analyzes the real-time audio data to obtain visual information and acoustic information respectively. Among them, the visual information is such as the distribution of people in the venue, the stage layout, etc., and the acoustic information is such as the sound frequency, loudness, etc.

[0032] Further, the acoustic system control device performs comprehensive scene analysis based on the visual information and the acoustic information to obtain the scene type of the current venue at each moment, as specifically described in steps 101 to 103.

[0033] In one embodiment, in a theater, when an opera performance is being held on the stage, the real-time image data shows that there are actors singing on the stage and there are large-scale stage settings, and the real-time audio data shows high-pitched singing and symphony accompaniment. Combining these pieces of information, it is determined that the current scene type is "opera performance".

[0034] Step 20: When it is detected that the current venue switches from the first scene type to the second scene type, based on the first acoustic parameters corresponding to the first scene type and the second acoustic parameters corresponding to the second scene type, control the acoustic system to transition to the target acoustic parameters.

[0035] Further, when the acoustic system control device detects that the venue switches from the first scene type (such as an opera performance) to the second scene type (such as a concert), obtain the first acoustic parameters corresponding to the first scene type (for example, an opera performance may require a shorter reverberation time to ensure clear lyrics) and the second acoustic parameters corresponding to the second scene type (for example, a concert may require a longer reverberation time to enhance the fullness of the music). Among them, the acoustic parameters include equalization parameters, reverberation time parameters, and volume control parameters.

[0036] Further, the acoustic system control device controls the acoustic system to gradually transition to the target acoustic parameters to avoid sudden changes in sound. In one embodiment, when switching from an opera performance to a symphony concert, the acoustic system control device obtains the first acoustic parameters of the opera performance (the equalization parameters tend to highlight the mid-high frequencies for vocals, the reverberation time is short, and the volume is moderate) and the second acoustic parameters of the symphony concert (the equalization parameters tend to be full-frequency balanced, the reverberation time is long, and the volume is large). The acoustic system control device will gradually adjust the parameters of the acoustic system to smoothly transition the sound from a state suitable for an opera performance to a state suitable for a symphony concert.

[0037] Step 30: Collect environmental data at the time corresponding to the second scene type of the current venue.

[0038] Further, when the venue is at the time corresponding to the second scene type (such as a concert), the acoustic system control device will collect the environmental data of the current venue at the time corresponding to the second scene type. Among them, the environmental data includes the environmental data inside the current venue and the environmental data outside the current venue. The environmental data inside the current venue such as environmental temperature data and environmental humidity data, and the environmental data outside the current venue such as environmental noise data. The environmental noise includes environmental noise frequency, environmental noise loudness, environmental noise duration, and environmental noise distribution information. These data will be used for subsequent optimization of the acoustic parameters. In one embodiment, during a concert, external environmental data collection finds that there is traffic noise outside the theater, the frequency is mainly in the low-frequency band, the loudness is 60 decibels, the duration is uncertain and mainly distributed on the side of the theater close to the street. Internal environmental data collection shows that the temperature inside the theater is 25 degrees Celsius and the humidity is 50%.

[0039] Step 40: Optimize the target acoustic parameters based on the environmental data to obtain the optimized acoustic parameters.

[0040] Furthermore, the acoustic system control device optimizes the target acoustic parameters according to the collected environmental data inside the current venue and the environmental data outside the current venue. For example, if the external environmental noise is mainly in the low-frequency band, it may be necessary to adjust the equalization parameters of the acoustic system to reduce low-frequency interference; the temperature and humidity of the internal environment also affect the sound propagation characteristics, and parameters such as reverberation time need to be adjusted accordingly.

[0041] In one embodiment, due to the existence of low-frequency noise outside, the acoustic system control device appropriately reduces the equalization parameters in the low-frequency band on the basis of the target acoustic parameters of the concert to reduce the impact of external noise on the sound effect of the concert. At the same time, according to the internal environmental temperature and humidity data, the reverberation time parameter is finely adjusted to ensure that the sound reaches the best effect in the current environment.

[0042] Step 50, control the acoustic output parameters of the acoustic system in the current venue based on the optimized acoustic parameters.

[0043] Furthermore, the acoustic system control device controls the acoustic output parameters of the acoustic system in the current venue based on the optimized acoustic parameters to ensure that the sound effect in the venue reaches the best under the current scene type and environmental conditions. In one embodiment, the acoustic system control device applies the adjusted equalization parameters, reverberation time parameters, and volume control parameters to the acoustic system of the theater, so that the ongoing concert can provide the best auditory experience for the audience without being interfered by external noise and adapting to the internal environmental conditions.

[0044] Through scene recognition, the embodiment of the present invention can real-time recognize the change of the usage scene of the current venue, realize the smooth transition of acoustic parameters between different scenes through parameter switching, optimize the acoustic parameters through the environmental data of the current venue, so that the optimized acoustic parameters can better adapt to the minute acoustic changes inside the current venue, thus effectively solving the problem that the existing equalization control method based on fixed parameters cannot adapt to the dynamic changes of the venue acoustic characteristics, ensuring good acoustic effects in various scenes and environments, and improving the sound quality of the acoustic system.

[0045] In one embodiment, the descriptions of steps 101 to 103 are as follows:

[0046] Step 101, perform image analysis on the real-time image data to obtain the visual information inside the current venue. The visual information includes the number of people, the distribution of people, and the placement position of props inside the current venue.

[0047] Optionally, the acoustic system control device obtains real-time image data from cameras installed in an indoor concert venue. The image data is processed using image analysis algorithms. The number of people in the venue is identified through object detection algorithms, including the number of performers on the stage and the number of audiences in the auditorium. Meanwhile, location algorithms are used to determine the distribution of people in the venue, such as the standing positions of performers on the stage and the distribution density of audiences in the auditorium. In addition, the placement positions of musical instruments and the stage layout of furniture or facilities in the venue are also identified and located. In one embodiment, the real-time image data obtained by the cameras shows that there are 15 performers on the stage and approximately 300 audiences in the auditorium. On the stage, the string section is on the left, the wind section is in the middle, and the percussion section is on the right. In the auditorium, there are relatively fewer audiences in the front row, and the distribution of audiences in the middle and back rows is more concentrated. Large musical instruments such as pianos and drum kits are also placed on the stage.

[0048] Step 102: Perform audio analysis on the real-time audio data to obtain the acoustic information of the current venue. The acoustic information includes the frequency components of the audio signal, the loudness variation of the audio signal, and the reverberation characteristics of the audio signal.

[0049] Furthermore, the acoustic system control device collects real-time audio data through microphones installed in the venue. These audio data are analyzed. First, the audio signal is transformed into the frequency domain through Fourier transform to obtain the frequency components of the audio signal. For example, the frequency ranges of the sounds emitted by different musical instruments can be determined. Then, the loudness variation is determined by calculating the energy of the audio signal to understand the dynamic range of the music. At the same time, the reflection situation of the audio signal in the venue is analyzed to obtain the reverberation characteristics of the audio signal, such as the reverberation time. Continuing with the above embodiment, after analyzing the collected real-time audio data, it is found that the frequency components of the audio signal are rich. The frequencies of string instruments are mainly concentrated in the range of 200 - 1000 Hz, the frequencies of wind instruments are in the range of 100 - 5000 Hz, and percussion instruments have prominent performance in the range of 20 - 500 Hz. In terms of loudness variation, at the climax of the performance, the loudness can reach 90 dB, while in the soft passages, the loudness may be as low as 30 dB. By analyzing the reflection situation of the audio signal, the reverberation time of the indoor concert venue is approximately 2 seconds.

[0050] Step 103: Conduct comprehensive scene analysis based on the visual information and acoustic information to obtain the scene type of the current venue at each moment.

[0051] The acoustic system control device conducts comprehensive scene analysis on the visual information and acoustic information. For example, it is matched according to preset rules and models to determine that the scene type of the current venue at the current time matches the "indoor concert" scene type.

[0052] The embodiments of the present invention can accurately identify the scene type of the current venue, which helps to subsequently make precise adjustments to the acoustic system, ensuring good acoustic effects in various scenes and environments and improving the sound quality of the acoustic system.

[0053] In one embodiment, the descriptions of steps 201 to 203 are as follows:

[0054] Step 201, determine the total time allowed for switching from the first scene type to the second scene type, and construct a parameter switching time series based on the total time.

[0055] Optionally, when the acoustic system control device monitors that the venue switches from the first scene type to the second scene type, it determines the total time allowed for the scene switch, where the total time depends on the actual application scenario and user requirements. For example, in some occasions with rapid scene switching, the total time may be shorter; while in some occasions where less urgent requirements for sound transition are needed, the total time can be relatively longer. Further, the acoustic system control device constructs a parameter switching time series according to the total time, where the time series is a discrete time point series from 0 to the total time. In one embodiment, when switching from an opera performance scene (the first scene type) to an indoor concert scene (the second scene type), the total time allowed for the scene switch according to the venue usage arrangement is 100 seconds, and the constructed parameter switching time series is [0s, 1s, 2s,..., 100s].

[0056] Step 202, based on each acoustic parameter in the first acoustic parameter and its corresponding acoustic parameter in the second acoustic parameter, determine the change step of each acoustic parameter in the first acoustic parameter within the total time.

[0057] Further, for each acoustic parameter (equalization parameter, reverberation time parameter, and volume control parameter) in the first acoustic parameter, the acoustic system control device needs to determine its change step within the total time. This requires considering the difference between the first acoustic parameter and the second acoustic parameter. The specific calculation method is to divide the difference between the second acoustic parameter and the first acoustic parameter by the total time to obtain the change amount of the acoustic parameter per time unit, that is, the change step. Continuing with the above embodiment, the reverberation time parameter in the opera performance scene is 1.5 seconds (the reverberation time parameter in the first acoustic parameter), the reverberation time parameter in the indoor concert scene is 2 seconds (the reverberation time parameter in the second acoustic parameter), and the total time is 10 seconds. Then the change step of the reverberation time parameter = (2 - 1.5) / 10 = 0.05 seconds / second. That is, the reverberation time increases by 0.05 seconds per second. Similar calculations are also performed for the equalization parameter and the volume control parameter.

[0058] Step 203: Based on the parameter switching time series, each acoustic parameter in the first acoustic parameters, and its corresponding change step, control the acoustic system to transition to the target acoustic parameter.

[0059] Further, the acoustic system control device controls the acoustic system to transition to the target acoustic parameter according to the parameter switching time series, each acoustic parameter in the first acoustic parameters, and its corresponding change step, as specifically described in Steps 2031 to 2034.

[0060] The embodiment of the present invention can achieve a smooth transition of acoustic parameters from the first scene type to the second scene type. This smooth transition avoids sudden sound changes caused by scene switching, provides a more comfortable and natural auditory experience for the people in the venue, and thus ensures good acoustic effects in various scenes and environments, improving the sound quality of the acoustic system.

[0061] In one embodiment, the descriptions of Steps 2031 to 2034 are as follows:

[0062] Step 2031: For each time point in the parameter switching time series, based on the initial equalization parameter value and the change step of each equalization parameter in the first acoustic parameters, determine the target equalization parameter value of each equalization parameter in the first acoustic parameters at each time point.

[0063] Optionally, for each time point in the parameter switching time series, the acoustic system control device calculates the target value corresponding to each equalization parameter in the first acoustic parameters at each time point based on the initial value of each equalization parameter in the first acoustic parameters in the opera performance scene and the established change step. Since different music types have different emphases on sound frequencies, the adjustment of equalization parameters can change the gain of sounds in each frequency band, making the sound effect adapt to the new scene. In one embodiment, in the opera performance scene, the initial value of the equalization parameter for the mid-high frequency band is +5 dB. After calculation, when switching from the opera performance scene to the indoor concert scene, the change step of the equalization parameter for the mid-high frequency band is -0.3 dB / second. At the 4th second of the parameter switching time series, the target equalization parameter value = +5 dB + (-0.3 dB / second) * 4 seconds = +3.8 dB. This means that as the scene switching process progresses to the 4th second, the equalization parameter corresponding to the mid-high frequency band in the acoustic system should be adjusted to +3.8 dB to adapt to the difference in mid-high frequency performance between the indoor concert and the opera performance.

[0064] Step 2032: Based on the initial reverberation time parameter value and the change step of each reverberation time parameter in the first acoustic parameters, determine the target reverberation time parameter value of each reverberation time parameter in the first acoustic parameters at each time point.

[0065] Further, for each time point in the parameter switching time series, based on the initial value of each reverberation time parameter in the first acoustic parameters under the opera performance scenario and in combination with the change step of the reverberation time parameter, the acoustic system control device determines the target value that each reverberation time parameter in the first acoustic parameters should reach at this time point. The reverberation time has a significant impact on the spatial sense and fullness of music, and different performance forms require different reverberation times. Opera emphasizes the clarity of sound, while chamber music emphasizes the surround sense and integration of music more. Therefore, the reverberation time parameter needs to be adjusted accordingly. In one embodiment, the initial reverberation time value in the opera performance scenario is 1.3 seconds, and the change step of the reverberation time when switching to the chamber music scenario is +0.2 seconds / second. At the 6th second, the target reverberation time parameter value = 1.3 seconds + 0.2 seconds / second * 6 seconds = 2.5 seconds. That is, when the scenario switch reaches the 6th second, the reverberation time of the acoustic system should be adjusted to 2.5 seconds so that the music of the chamber music can be presented in an acoustic environment with a stronger sense of space.

[0066] Step 2033: Based on the initial volume control parameter value and the change step of each volume control parameter in the first acoustic parameters, determine the target volume control parameter value of each volume control parameter in the first acoustic parameters at each time point.

[0067] Further, for each time point in the parameter switching time series, the acoustic system control device determines the target value of each volume control parameter in the first acoustic parameters at each time point according to the initial value of each volume control parameter in the first acoustic parameters under the opera performance scenario and the change step of the volume control parameter. The volume control parameter is directly related to the loudness of the sound, and there are differences in volume requirements between chamber music and opera performances. For example, chamber music may require a larger volume dynamic range to show the contrast between the strong and weak of the music. In one embodiment, the initial value of the volume control parameter in the opera performance scenario is -3 dB, and the change step of the volume control parameter when switching to the chamber music scenario is +0.15 dB / second. At the 8th second, the target volume control parameter value = -3 dB + 0.15 dB / second * 8 seconds = -1.8 dB. This indicates that when the scenario switches to the 8th second, the volume control parameter of the acoustic system should be adjusted to -1.8 dB to prepare for the volume change of the chamber music.

[0068] Step 2034: Control the acoustic system to transition from the initial equalization parameter value, initial reverberation time parameter value, and initial volume control parameter value corresponding to each time point in the first scene type to the target equalization parameter value, target reverberation time parameter value, and target volume control parameter value corresponding to each time point.

[0069] Furthermore, the acoustic system control device manipulates the acoustic output parameters of the acoustic system, causing them to gradually transition from the initial equalization parameter values, initial reverberation time parameter values, and initial volume control parameter values corresponding to the opera performance scene (the first scene type) at each time point to the target equalization parameter values, target reverberation time parameter values, and target volume control parameter values corresponding to each time point, in accordance with the previously calculated target values. Through this precise and gradual control, it is ensured that during the scene transition of the acoustic system, the sound effect can smoothly and naturally change from being suitable for opera performances to being suitable for chamber music concerts.

[0070] Continuing with the above embodiment, during the process of switching from the opera performance scene to the chamber music concert scene, when it reaches the 5th second of the switch, the mid-high frequency band equalization parameter is gradually adjusted from +5 dB for opera performances to +3.5 dB (calculated according to step 2031), the reverberation time is gradually adjusted from 1.3 seconds to 2.3 seconds (calculated according to step 2032), and the volume control parameter is gradually adjusted from -3 dB to -2.25 dB (calculated according to step 2033).

[0071] The embodiments of the present invention can accurately and meticulously control the equalization parameter, reverberation time parameter, and volume control parameter of the acoustic system to be adjusted methodically according to the preset change step and time node. In this way, during the scene transition, the acoustic environment within the venue can smoothly transition, avoiding the disorder of the sound effect caused by sudden scene changes, ensuring good acoustic effects in various scenes and environments, and improving the sound quality adaptability and user experience of the acoustic system.

[0072] In one embodiment, the descriptions of steps 301 to 304 are as follows:

[0073] Step 301, perform a first optimization adjustment on the target equalization parameter value based on the ambient noise frequency to obtain the first adjusted equalization parameter value.

[0074] Optionally, the acoustic system control device analyzes the relationship between the ambient noise frequency and the target equalization parameter value. If the ambient noise is prominent in certain frequency bands, in order to reduce the interference of the noise on the sound effect of the current scene, it is necessary to adjust the target equalization parameter value. For example, if it is found that the ambient noise has a strong frequency component in the low frequency band, and the music in the current scene (such as a chamber music concert) also has an important performance in the low frequency band, it is necessary to specifically adjust the gain in the low frequency band on the basis of the target equalization parameter value to highlight the low frequency part of the music while suppressing the influence of the noise.

[0075] In one embodiment, the target equalization parameter value for the current indoor concert scene is +3 dB in the low frequency band (20 - 200 Hz). Through environmental noise monitoring, it is found that the environmental noise has a strong frequency component and a large intensity in the 50 - 100 Hz frequency band. To reduce the interference of this part of the noise on the concert sound, it is decided to adjust the gain in the 50 - 100 Hz frequency band based on the target equalization parameter value. A tuning formula based on the frequency characteristics of the noise is adopted: adjustment amount = -K * log(noise frequency intensity / music frequency intensity), where K is a tuning coefficient, for example, K = 0.5. After calculation, the adjustment amount in the 50 - 100 Hz frequency band is -0.2 dB. Then the first adjusted equalization parameter value becomes +3 dB - 0.2 dB = +2.8 dB in the 50 - 100 Hz frequency band.

[0076] Step 302, perform the first optimization adjustment on the target reverberation time parameter value based on the environmental noise loudness and the environmental noise duration to obtain the first adjusted reverberation time parameter value.

[0077] Furthermore, the acoustic system control device combines the environmental noise loudness and duration to optimize the target reverberation time parameter value. If the environmental noise loudness is large and the duration is long, in order to ensure the sound clarity of the current scene (such as an indoor concert), it may be necessary to appropriately shorten the reverberation time. Because a longer reverberation time will cause the sound to reflect multiple times in space and may reduce the sound clarity after mixing with the noise. On the contrary, if the noise loudness is small and the duration is short, it may be possible to appropriately increase the reverberation time to enhance the musical atmosphere. In one embodiment, the target reverberation time parameter value for the current indoor concert scene is 2 seconds. The monitored environmental noise loudness is 70 dB and the duration is long. According to the empirical formula: reverberation time adjustment amount = -(noise loudness - comfortable loudness threshold) * duration coefficient, where the comfortable loudness threshold is, for example, 50 dB and the duration coefficient is, for example, 0.05. Then the reverberation time adjustment amount = -(70 - 50) * 0.05 = -1 second. The first adjusted reverberation time parameter value becomes 2 seconds - 1 second = 1 second.

[0078] Step 303, perform the first optimization adjustment on the target volume control parameter value based on the environmental noise distribution information to obtain the first adjusted volume control parameter value.

[0079] Further, the acoustic system control device adjusts the target volume control parameter value according to the environmental noise distribution information. If the noise is mainly distributed on one side of the venue, in order to ensure a better auditory experience for the audience on the other side, it may be necessary to appropriately adjust the volume on that side. For example, if the noise is mainly concentrated on the left side of the venue, then the volume on the right side can be appropriately increased, or the volume on the left side can be decreased to balance the sound effect. In one embodiment, the target volume control parameter value for the current indoor concert scene is 0 dB (overall volume balance). Through noise distribution monitoring, it is found that the environmental noise is mainly concentrated on the left side of the venue. A simple volume adjustment strategy is adopted: volume adjustment amount = noise distribution ratio * maximum volume adjustment value. For example, the distribution ratio of noise on the left side is 0.7, and the maximum volume adjustment value is -3 dB. Then the volume adjustment amount on the left side = 0.7 * (-3 dB) = -2.1 dB, and the volume adjustment amount on the right side = -0.3 * (-3 dB) = +0.9 dB. The first adjusted volume control parameter value becomes 0 dB - 2.1 dB = -2.1 dB on the left side and 0 dB + 0.9 dB = +0.9 dB on the right side.

[0080] Step 304: Based on the environmental noise frequency, environmental noise loudness, and environmental noise duration, perform a second optimization adjustment on the first adjusted equalization parameter value, the first adjusted reverberation time parameter value, and the first adjusted volume control parameter value to obtain the optimized acoustic parameters.

[0081] Further, the acoustic system control device performs a second optimization adjustment on the first adjusted equalization parameter value, the first adjusted reverberation time parameter value, and the first adjusted volume control parameter value according to the environmental noise frequency, environmental noise loudness, and environmental noise duration to obtain the optimized acoustic parameters, as specifically described in Steps 3041 to 3044.

[0082] The embodiment of the present invention can comprehensively and meticulously optimize the acoustic parameters according to the environmental noise situation outside the current venue, enabling the acoustic system to automatically adjust the parameters when facing complex external environmental noise, ensuring that the sound effect of the current scene reaches the best, ensuring good acoustic effects in various scenes and environments, and improving the sound quality of the acoustic system.

[0083] In one embodiment, the descriptions of Steps 3041 to 3044 are as follows:

[0084] Step 3041: Based on the environmental noise loudness and environmental noise duration, perform a second optimization adjustment on the first adjusted equalization parameter value to obtain the second adjusted equalization parameter value.

[0085] Optionally, the acoustic system control device analyzes the influence of the ambient noise loudness and duration on the first adjusted equalization parameter value. When the noise loudness is large and the duration is long, in order to highlight the sound of the current scene (such as an indoor concert), the equalization parameter needs to be further adjusted. For example, when the noise is loud and continuous in the mid-high frequency band, it may be necessary to further increase the gain of the mid-high frequency band of the concert sound based on the first adjusted equalization parameter value to cover the noise interference and highlight the music details. For example, the first adjusted equalization parameter value is +4 dB in the mid-high frequency band (1000 - 5000 Hz). Ambient noise monitoring shows that the noise loudness in this frequency band reaches 80 dB and the duration is relatively long. Using the formula: mid-high frequency band equalization adjustment amount = (noise loudness - reference loudness) * duration factor * adjustment coefficient. For example, the reference loudness is 60 dB, the duration factor is 0.05 (set according to the noise duration), and the adjustment coefficient is 0.3. Then the adjustment amount = (80 - 60) * 0.05 * 0.3 = +0.3 dB. The second adjusted equalization parameter value in the 1000 - 5000 Hz frequency band becomes +4 dB + 0.3 dB = +4.3 dB.

[0086] Step 3042, based on the ambient noise frequency, perform a second optimization adjustment on the first adjusted reverberation time parameter value to obtain the second adjusted reverberation time parameter value.

[0087] Furthermore, based on the ambient noise frequency, the acoustic system control device performs a secondary optimization on the first adjusted reverberation time parameter value. The interference of noises with different frequencies on the reverberation effect is different. If the noise frequency is close to some key frequencies in the music of the current scene, it may be necessary to change the reverberation time to reduce the interference. For example, if it is found that the ambient noise has a frequency in the low frequency band close to the frequency of the low-pitched instruments in the concert, in order to avoid muddy sound, the reverberation time can be appropriately shortened. In an embodiment, the first adjusted reverberation time parameter value is 1.2 seconds. Ambient noise frequency analysis shows that there is strong noise in the 100 - 200 Hz frequency band, overlapping with the frequency of the double bass part in the concert. Using the formula: reverberation time adjustment amount = -K * (overlap degree of noise frequency and music frequency). For example, K = 0.2 (empirical coefficient), and the overlap degree is calculated to be 0.4. Then the reverberation time adjustment amount = -0.2 * 0.4 = -0.08 seconds. The second adjusted reverberation time parameter value becomes 1.2 seconds - 0.08 seconds = 1.12 seconds.

[0088] Step 3043, based on the ambient noise frequency, ambient noise loudness, and ambient noise duration, perform a second optimization adjustment on the first adjusted volume control parameter value to obtain the second adjusted volume control parameter value.

[0089] Further, the acoustic system control device comprehensively considers the frequency, loudness, and duration of the ambient noise to further optimize the first adjusted volume control parameter value. For example, when the noise is concentrated in frequency, loud, and continuous in a certain area, targeted adjustments need to be made to the volume control parameters in that area to balance the overall sound effect. In one embodiment, the overall value of the first adjusted volume control parameter is 0 dB. Ambient noise monitoring shows that in the front right area of the venue, the noise frequency is concentrated between 2000 - 3000 Hz, the loudness reaches 75 dB and is continuous. Using the formula: volume adjustment amount = noise frequency concentration factor * (noise loudness - reference loudness) * duration factor. For example, the frequency concentration factor is 0.2, the reference loudness is 60 dB, and the duration factor is 0.04. Then the volume adjustment amount = 0.2 * (75 - 60) * 0.04 = +0.12 dB. The second adjusted volume control parameter value in this area becomes 0 dB + 0.12 dB = +0.12 dB, and other areas are fine-tuned according to the overall balance principle.

[0090] Step 3044: Optimize the second adjusted equalization parameter value, the second adjusted reverberation time parameter value, and the second adjusted volume control parameter value based on the ambient temperature data and ambient humidity data in the current venue within the environmental data to obtain the optimized acoustic parameters.

[0091] Further, considering that the ambient temperature and humidity can affect sound propagation, the acoustic system control device optimizes the second adjusted equalization parameter value, the second adjusted reverberation time parameter value, and the second adjusted volume control parameter value according to the ambient temperature data and ambient humidity data in the current venue within the environmental data to obtain the optimized acoustic parameters, as specifically described in Steps 30441 to 30443.

[0092] The embodiments of the present invention can comprehensively and accurately optimize the acoustic parameters according to the internal and external environmental data of the venue. Even when facing complex and variable environmental factors, it can ensure good acoustic effects in various scenarios and environments, enabling the audience to enjoy clear and full music in a comfortable environment without being disturbed by ambient noise or affected by the temperature and humidity within the venue, thereby improving the sound quality of the acoustic system.

[0093] In one embodiment, the descriptions of Steps 30441 to 30443 are as follows:

[0094] Step 30441: Determine the sound speed influence factor based on the correlation between the ambient temperature data and the sound speed propagation, and optimize the second adjusted equalization parameter value according to the sound speed influence factor and the change gradient of the ambient temperature data to obtain the optimized equalization parameter value.

[0095] Optionally, the acoustic system control device first clarifies the correlation between the ambient temperature data and the sound speed propagation. Generally speaking, the sound speed will increase with the increase of temperature, and its relationship can be approximately expressed as: v = v0(1 + α(T - T0)), where v is the actual sound speed, v0 is the sound speed at the reference temperature T0, and α is the temperature coefficient. The sound speed influence factor can be determined through this formula. At the same time, the acoustic system control device obtains the change gradient of the ambient temperature data, that is, the change amount of temperature per unit time.

[0096] Furthermore, the acoustic system control device optimizes the second adjusted equalization parameter value according to the sound speed influence factor and the change trend of the sound speed with temperature. For example, when the temperature rises and the sound speed increases, the frequency response of the sound may change. To ensure the sound effect, the equalization parameters need to be adjusted accordingly.

[0097] In an embodiment, the reference temperature T0 = 20°C, the reference sound speed v0 = 343 m / s, and the temperature coefficient α = 0.003. The current ambient temperature data shows that the temperature is T = 25°C, and the temperature change gradient is 0.5°C / h. First, calculate the sound speed influence factor: v = 343(1 + 0.003(25 - 20)) = 348.145 m / s, and the sound speed influence factor is v / v0 = 343 / 348.145 ≈ 1.015. Since the sound speed increases, the high-frequency part propagates relatively faster. To balance the sound effect, the second adjusted equalization parameter value in the high-frequency band (5000 - 10000 Hz) is optimized. For example, the second adjusted equalization parameter value in this frequency band was originally +5 dB. According to the empirical formula: high-frequency band equalization adjustment amount = sound speed influence factor * temperature change gradient * high-frequency adjustment coefficient. For example, the high-frequency adjustment coefficient is 0.2. Then the high-frequency band equalization adjustment amount = 1.015 * 0.5 * 0.2 = +0.1015 dB. The optimized equalization parameter value in the 5000 - 10000 Hz frequency band becomes +5 dB + 0.1015 dB = +5.1015 dB.

[0098] Step 30442, determine the correction coefficient based on the correlation between the ambient humidity data and the air density, and optimize the second adjusted reverberation time parameter value based on the correction coefficient and the humidity change rate of the ambient humidity data to obtain the optimized reverberation time parameter value.

[0099] Further, the acoustic system control device analyzes the correlation between the ambient humidity data and the air density. When the humidity increases, the air density changes, which in turn affects the sound propagation and reverberation effect. Through relevant research, the relationship between humidity and air density can be expressed as: ρ = ρ0(1 + β(H - H0)), where ρ is the actual air density, ρ0 is the air density at the reference humidity H0, and β is the humidity influence coefficient. Thus, the correction factor is determined. The acoustic system control device also obtains the humidity change rate of the ambient humidity data, that is, the change amount of humidity per unit time.

[0100] Further, the acoustic system control device optimizes the second adjusted reverberation time parameter value according to the correction factor and the humidity change rate. For example, when the humidity increases, the air density decreases, the sound absorption may decrease, and the reverberation time may become longer. It is necessary to appropriately adjust the reverberation time parameter to maintain the best sound effect.

[0101] In an embodiment, for example, the reference humidity H0 = 50%, the reference air density ρ0 = 1.225 kg / m3, and the humidity influence coefficient β = 0.002. The current ambient humidity data shows that the humidity is H = 60% and the humidity change rate is 2% / h. First, calculate the correction factor: ρ = 1.225(1 - 0.002(60 - 50)) = 1.2005 kg / m3, and the correction factor is ρ / ρ0 = 1.225 / 1.2005 ≈ 0.98. For example, the second adjusted reverberation time parameter value was originally 1.5 s. According to the formula: reverberation time adjustment amount = - correction factor * humidity change rate * reverberation adjustment coefficient, assuming the reverberation adjustment coefficient is 0.1. Then the reverberation time adjustment amount = -0.98 * 2 * 0.1 = -0.196 s. The optimized reverberation time parameter value becomes 1.5 s - 0.196 s = 1.304 s.

[0102] Step 30443, optimize the second adjusted volume control parameter value based on the cross - influence degree of the ambient temperature data and the ambient humidity data to obtain the optimized volume control parameter value.

[0103] Further, the acoustic system control device optimizes the second adjusted volume control parameter value in consideration of the degree of cross-influence between the ambient temperature data and the ambient humidity data. The changes in temperature and humidity not only affect sound propagation individually, but there is also an interaction between them. For example, when the temperature rises and the humidity increases, the propagation loss and reflection of sound will change complexly. The device analyzes this cross-influence by establishing a complex model, and adjusts the volume control parameter according to the degree of cross-influence to ensure the volume balance and clarity of sound in the current environment. In one embodiment, through the cross-influence model established by experimental data and theoretical analysis, when the temperature is 28°C and the humidity is 65%, the cross-influence degree coefficient is 0.8. For example, the overall value of the second adjusted volume control parameter is 0 dB. According to the formula: volume adjustment amount = cross-influence degree coefficient * comprehensive adjustment coefficient. For example, the comprehensive adjustment coefficient is 0.3. Then the volume adjustment amount = 0.8 * 0.3 = +0.24 dB. The optimized volume control parameter value becomes 0 dB + 0.24 dB = +0.24 dB, and fine-tunes the local volume control parameters according to the temperature and humidity differences at different positions of the venue.

[0104] The embodiments of the present invention can fully consider the complex influence of ambient temperature and humidity on sound propagation, comprehensively optimize the acoustic parameters, so that the optimized acoustic parameters can make the acoustic system maintain the best sound effect under different environmental conditions, and improve the sound quality of the acoustic system.

[0105] Further, the acoustic system control system based on scene type provided by the present invention is described below. The acoustic system control system based on scene type described below can be mutually referred to the acoustic system control method based on scene type described above.

[0106] Optionally, referring to Figure 2 , Figure 2 is the structural diagram of the acoustic system control device based on scene type provided by the present invention. The acoustic system control device based on scene type includes:

[0107] A scene recognition module 210, configured to perform a comprehensive analysis of the scene based on the real-time scene data collected in the current venue, and obtain the scene type of the current venue at each time;

[0108] An acoustic parameter switching module 220, configured to, when it is detected that the current venue switches from the first scene type to the second scene type, control the acoustic system to transition and switch to the target acoustic parameter based on the first acoustic parameter corresponding to the first scene type and the second acoustic parameter corresponding to the second scene type;

[0109] An environment monitoring module 230, configured to collect environment data of the current venue at the time corresponding to the second scene type;

[0110] The acoustic parameter optimization module 240 is used to optimize the second acoustic parameter based on the environmental data to obtain the optimized acoustic parameter;

[0111] The acoustic system control module 250 is used to control the acoustic output parameter of the acoustic system of the current venue based on the optimized acoustic parameter.

[0112] In the embodiment of the present invention, through scene recognition, the change of the usage scene of the current venue can be recognized in real time. Through parameter switching, a smooth transition of acoustic parameters between different scenes is realized. The acoustic parameters are optimized based on the environmental data of the current venue, so that the optimized acoustic parameters can better adapt to the minute acoustic changes in the current venue, thereby effectively solving the problem that the existing equalization control method based on fixed parameters cannot adapt to the dynamic changes of the acoustic characteristics of the venue, ensuring good acoustic effects in various scenes and environments, and improving the sound quality of the acoustic system.

[0113] Please refer to Figure 3 , Figure 3 which is the embodiment diagram of the electronic device provided by the embodiment of the present invention. As Figure 3 shown, the embodiment of the present invention provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored on the memory 310 and executable on the processor 320. When the processor 320 executes the computer program 311, the following steps are implemented:

[0114] Performing comprehensive scene analysis based on the collected real-time scene data in the current venue to obtain the scene type of the current venue at each moment;

[0115] When it is monitored that the current venue switches from the first scene type to the second scene type, based on the first acoustic parameter corresponding to the first scene type and the second acoustic parameter corresponding to the second scene type, controlling the acoustic system to transition and switch to the target acoustic parameter;

[0116] Collecting the environmental data of the current venue at the time corresponding to the second scene type;

[0117] Optimizing the target acoustic parameter based on the environmental data to obtain the optimized acoustic parameter;

[0118] Controlling the acoustic output parameter of the acoustic system of the current venue based on the optimized acoustic parameter.

[0119] Please refer to Figure 4 , Figure 4 which is the embodiment diagram of the computer-readable storage medium provided by the embodiment of the present invention. As Figure 4 shown, this embodiment provides a computer-readable storage medium 400, on which a computer program 311 is stored. When the computer program 311 is executed by a processor, the following steps are implemented:

[0120] Based on the real-time scene data collected in the current site, perform comprehensive scene analysis to obtain the scene type of the current site at each time;

[0121] When it is detected that the current site switches from the first scene type to the second scene type, based on the first acoustic parameter corresponding to the first scene type and the second acoustic parameter corresponding to the second scene type, control the acoustic system to transition and switch to the target acoustic parameter;

[0122] Collect the environmental data of the current site at the time corresponding to the second scene type;

[0123] Optimize the target acoustic parameter based on the environmental data to obtain the optimized acoustic parameter;

[0124] Control the acoustic output parameter of the acoustic system of the current site based on the optimized acoustic parameter.

[0125] On the other hand, the present invention also provides a computer program product. The computer program product includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the method for controlling an acoustic system based on a scene type provided by each of the above methods. The method includes:

[0126] Based on the real-time scene data collected in the current site, perform comprehensive scene analysis to obtain the scene type of the current site at each time;

[0127] When it is detected that the current site switches from the first scene type to the second scene type, based on the first acoustic parameter corresponding to the first scene type and the second acoustic parameter corresponding to the second scene type, control the acoustic system to transition and switch to the target acoustic parameter;

[0128] Collect the environmental data of the current site at the time corresponding to the second scene type;

[0129] Optimize the target acoustic parameter based on the environmental data to obtain the optimized acoustic parameter;

[0130] Control the acoustic output parameter of the acoustic system of the current site based on the optimized acoustic parameter.

[0131] The system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they may be located in one place, or they may be distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative labor.

[0132] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0133] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An acoustic system control method based on scene types, characterized in that, Including: Performing comprehensive scene analysis based on the collected real-time scene data within the current site to obtain the scene type of the current site at each time; When it is detected that the current site switches from the first scene type to the second scene type, based on the first acoustic parameter corresponding to the first scene type and the second acoustic parameter corresponding to the second scene type, controlling the acoustic system to transition and switch to the target acoustic parameter; Collecting the environmental data of the current site at the time corresponding to the second scene type; Optimizing the target acoustic parameter based on the environmental data to obtain the optimized acoustic parameter; Controlling the acoustic output parameter of the acoustic system of the current site based on the optimized acoustic parameter.

2. The method for controlling an acoustic system based on a scenario type according to claim 1, wherein, The environmental data includes the environmental noise frequency, environmental noise loudness, environmental noise duration, and environmental noise distribution information outside the current site; the target acoustic parameter includes the target equalization parameter value, target reverberation time parameter value, and target volume control parameter value; The optimizing the target acoustic parameter based on the environmental data to obtain the optimized acoustic parameter includes: Performing a first optimization adjustment on the target equalization parameter value based on the environmental noise frequency to obtain the first adjusted equalization parameter value; Performing a first optimization adjustment on the target reverberation time parameter value based on the environmental noise loudness and the environmental noise duration to obtain the first adjusted reverberation time parameter value; Performing a first optimization adjustment on the target volume control parameter value based on the environmental noise distribution information to obtain the first adjusted volume control parameter value; Performing a second optimization adjustment on the first adjusted equalization parameter value, the first adjusted reverberation time parameter value, and the first adjusted volume control parameter value based on the environmental noise frequency, the environmental noise loudness, and the environmental noise duration to obtain the optimized acoustic parameter.

3. The method for controlling an acoustic system based on a scene type according to claim 2, wherein The performing a second optimization adjustment on the first adjusted equalization parameter value, the first adjusted reverberation time parameter value, and the first adjusted volume control parameter value based on the environmental noise frequency, the environmental noise loudness, and the environmental noise duration to obtain the optimized acoustic parameter includes: Performing a second optimization adjustment on the first adjusted equalization parameter value based on the environmental noise loudness and the environmental noise duration to obtain the second adjusted equalization parameter value; Performing a second optimization adjustment on the first adjusted reverberation time parameter value based on the environmental noise frequency to obtain the second adjusted reverberation time parameter value; Performing a second optimization adjustment on the first adjusted volume control parameter value based on the environmental noise frequency, the environmental noise loudness, and the environmental noise duration to obtain the second adjusted volume control parameter value; Optimizing the second adjusted equalization parameter value, the second adjusted reverberation time parameter value, and the second adjusted volume control parameter value based on the environmental temperature data and environmental humidity data within the current site in the environmental data to obtain the optimized acoustic parameter.

4. The method for controlling an acoustic system based on a scene type according to claim 3, wherein Optimizing the second adjusted equalization parameter value, the second adjusted reverberation time parameter value, and the second adjusted volume control parameter value based on the environmental temperature data and environmental humidity data in the current site within the environmental data to obtain the optimized acoustic parameters, including: Determining a sound speed influence factor based on the correlation between the environmental temperature data and the sound speed propagation, and optimizing the second adjusted equalization parameter value according to the sound speed influence factor and the change gradient of the environmental temperature data to obtain the optimized equalization parameter value; Determining a correction coefficient based on the correlation between the environmental humidity data and the air density, and optimizing the second adjusted reverberation time parameter value based on the correction coefficient and the humidity change rate of the environmental humidity data to obtain the optimized reverberation time parameter value; Optimizing the second adjusted volume control parameter value based on the cross-influence degree of the environmental temperature data and the environmental humidity data to obtain the optimized volume control parameter value.

5. The method for controlling an acoustic system based on a scenario type according to claim 1, wherein Controlling the acoustic system to transition to the target acoustic parameters based on the first acoustic parameters corresponding to the first scene type and the second acoustic parameters corresponding to the second scene type, including: Determining the total time allowed to switch from the first scene type to the second scene type, and constructing a parameter switching time sequence based on the total time; Determining the change step of each acoustic parameter in the first acoustic parameters within the total time based on each acoustic parameter in the first acoustic parameters and its corresponding acoustic parameter in the second acoustic parameters; Controlling the acoustic system to transition to the target acoustic parameters based on the parameter switching time sequence, each acoustic parameter in the first acoustic parameters, and its corresponding change step.

6. The method for controlling an acoustic system based on a scene type according to claim 5, wherein The acoustic parameters include equalization parameters, reverberation time parameters, and volume control parameters; Controlling the acoustic system to transition to the target acoustic parameters based on the parameter switching time sequence, each acoustic parameter in the first acoustic parameters, and its corresponding change step, including: For each time point in the parameter switching time sequence, determining the target equalization parameter value of each equalization parameter in the first acoustic parameters at each time point based on the initial equalization parameter value and the change step of each equalization parameter in the first acoustic parameters; Determining the target reverberation time parameter value of each reverberation time parameter in the first acoustic parameters at each time point based on the initial reverberation time parameter value and the change step of each reverberation time parameter in the first acoustic parameters; Determining the target volume control parameter value of each volume control parameter in the first acoustic parameters at each time point based on the initial volume control parameter value and the change step of each volume control parameter in the first acoustic parameters; Controlling the acoustic system to transition from the initial equalization parameter value, the initial reverberation time parameter value, and the initial volume control parameter value corresponding to each time point in the first scene type to the target equalization parameter value, the target reverberation time parameter value, and the target volume control parameter value corresponding to each time point.

7. The method for controlling an acoustic system based on a scene type according to any one of claims 1 to 6, characterized in that, The real-time scene data includes real-time image data and real-time audio data; Performing comprehensive scene analysis based on the collected real-time scene data within the current venue to obtain the scene type of the current venue at each moment, including: Performing image analysis on the real-time image data to obtain the visual information within the current venue; the visual information includes the number of people, the distribution of people, and the placement positions of props within the current venue; Performing audio analysis on the real-time audio data to obtain the acoustic information within the current venue; the acoustic information includes the frequency components of the audio signal, the loudness change of the audio signal, and the reverberation characteristics of the audio signal; Performing comprehensive scene analysis based on the visual information and the acoustic information to obtain the scene type of the current venue at each moment.

8. An acoustic system control device based on scene types, characterized in that, Applied to the acoustic system control method based on scene type according to any one of claims 1 to 7; the acoustic system control device based on scene type includes: A scene recognition module, configured to perform comprehensive scene analysis based on the collected real-time scene data within the current venue to obtain the scene type of the current venue at each moment; An acoustic parameter switching module, configured to, when it is detected that the current venue switches from the first scene type to the second scene type, control the acoustic system to transition and switch to the target acoustic parameter based on the first acoustic parameter corresponding to the first scene type and the second acoustic parameter corresponding to the second scene type; An environment monitoring module, configured to collect the environment data of the current venue at the time corresponding to the second scene type; An acoustic parameter optimization module, configured to optimize the second acoustic parameter based on the environment data to obtain the optimized acoustic parameter; An acoustic system control module, configured to control the acoustic output parameters of the acoustic system of the current venue based on the optimized acoustic parameter.

9. An electronic device, comprising: A memory, configured to store computer software programs; A processor, configured to read and execute the computer software programs, characterized in that when the processor executes the computer software programs, it implements the acoustic system control method based on scene type according to any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium, in which computer software programs are stored, and when the computer software programs are executed by a processor, they implement the acoustic system control method based on scene type according to any one of claims 1 to 7.

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