A volume detection method and detection system for a digital mixer

Abstract

The present invention discloses a volume detection method and a detection system for a digital mixer. The detection method includes: receiving at least one path of original audio signal of an input channel; performing index parameter detection on the at least one path of original audio signal based on at least one preset index; adaptively matching an optimization strategy for the original audio signal based on the index parameter detection result for optimization to obtain an optimized audio signal; outputting the optimized audio signal through a test signal output channel and obtaining a test signal feedback input signal through a test signal output feedback channel; detecting the acoustic environment parameters of an audio playback scene based on the test signal feedback input signal, and detecting whether the volume of the optimized audio signal under the acoustic environment parameters of the playback scene meets a preset playback condition. The present invention improves the accuracy and multi-scene adaptability of volume detection and volume adjustment of the digital mixer, and realizes high quality and high quality of the output audio of the digital mixer.

Description

Technical Field

[0001] The present invention relates to the technical field of audio processing, and particularly to a method and a system for detecting the volume of a digital mixer. Background Art

[0002] In the information age, the types and quantities of digital devices in audio and video playback scenarios are constantly increasing. The wide application of digital devices has played a significant role in improving the efficiency of audio and video recording and editing, as well as enhancing the quality of audio and video. Among them, in the digital system of the audio and video playback scenario, the digital mixer for audio processing is in a core position. The digital mixer is the core device in the digital system of audio and video playback, supporting multiple-channel signal input, and can individually process each channel signal, including adjusting the volume, compensating the sound quality, etc.

[0003] In the prior art, the digital mixer mostly optimizes and adjusts based on the audio quality parameters of the audio signal itself in terms of adjusting the volume, compensating the sound quality, etc. However, considering that high-quality audio effects can be provided for listeners in different environments in the audio playback scenario, it is also necessary to optimize and adjust the audio signal based on the acoustic parameters in different environments of the playback scenario. Summary of the Invention

[0004] In view of the problems existing in the above prior art, the present invention provides a method and a system for detecting the volume of a digital mixer, which improve the accuracy of volume detection and the multi-scenario adaptation ability of the digital mixer, and realize high quality and high grade of the output audio of the digital mixer. The technical solution is as follows:

[0005] In a first aspect, an embodiment of the present invention provides a method for detecting the volume of a digital mixer, including the following steps:

[0006] Receiving at least one original audio signal of an input channel;

[0007] Performing index parameter detection on the at least one original audio signal based on at least one preset index;

[0008] Adapting and matching an original audio signal optimization strategy based on the index parameter detection result for optimization to obtain an optimized audio signal;

[0009] Outputting the optimized audio signal through a test signal output channel, and obtaining a test signal feedback input signal through a test signal output feedback channel;

[0010] Detecting the acoustic environment parameters of the audio playback scenario based on the test signal feedback input signal, and detecting whether the volume of the optimized audio signal under the acoustic environment parameters of the playback scenario meets a preset playback condition.

[0011] In a preferred embodiment of the present invention, the at least one original audio signal is subjected to index parameter detection based on at least one preset index, where the preset index includes a first index for characterizing the amplitude distribution characteristics of the original audio signal and a second index for characterizing the noise content in the original audio signal;

[0012] Performing index parameter detection on the at least one original audio signal based on the first index includes:

[0013] Determining the statistical distribution characteristic parameters of the residual signal based on the residual signal between the original audio signal and the preset amplitude threshold function;

[0014] Performing index parameter detection on the at least one original audio signal based on the second index includes:

[0015] Performing wavelet transform on the original audio signal to obtain the frequency components in the signals at different times;

[0016] Dividing the high-frequency component signals into at least one interval on average, and calculating the information entropy of the high-frequency component signals in each interval.

[0017] In a preferred embodiment of the present invention, the optimization based on the index parameter detection results by adaptively matching the original audio signal optimization strategy includes:

[0018] Determining whether to optimize the amplitudes of the original audio signal at different times based on the statistical distribution characteristic parameters of the residual signal, and determining the optimization strategy;

[0019] Determining the noise amount parameter in the original audio signal based on the information entropy of the high-frequency component signals in each interval and determining the noise reduction strategy.

[0020] In a preferred embodiment of the present invention, the preset amplitude threshold function is a fixed constant value.

[0021] In a preferred embodiment of the present invention, the preset amplitude threshold function is a function for characterizing the predicted amplitude parameter at the current moment determined based on the amplitude change law of the original audio signal in the previous historical first time period before the current moment.

[0022] In a preferred embodiment of the present invention, the preset amplitude threshold function is determined based on a preset trained audio signal amplitude prediction model, and the audio signal amplitude prediction model takes the amplitude of the original audio signal in the previous historical first time period before the current moment as input and outputs the predicted amplitude parameter at the current moment.

[0023] In a preferred embodiment of the present invention, the detection of the acoustic environment parameters of the audio playback scene based on the test signal feedback input signal includes:

[0024] Based on the test signal, feed back the input signal and output the optimized audio signal, and separate the environmental noise signal of the audio playback scene from the test signal for feeding back the input signal;

[0025] Based on the environmental noise signal of the audio playback scene, obtain the influence parameters generated by the environmental noise signal on the normal representation of the optimized audio signal at different times, as well as the volume and frequency of the environmental noise signal at different times.

[0026] In a preferred embodiment of the present invention, detecting whether the volume of the optimized audio signal under the acoustic environment parameters of the playback scene meets a preset playback condition includes:

[0027] Based on the influence parameters generated by the environmental noise signal on the normal representation of the optimized audio signal, detect whether there is a frequency in the audio signal affected by the environmental noise signal;

[0028] Based on the frequency in the audio signal affected by the environmental noise signal, detect whether the volume at this frequency is affected by the environmental noise signal;

[0029] Based on the volume of the environmental noise signal at different times, detect whether the difference between the volume of the optimized audio signal at different times and the volume of the environmental noise signal is greater than a preset threshold.

[0030] In a second aspect, an embodiment of the present invention provides a volume detection system for a digital mixer, and the detection system includes:

[0031] A raw audio signal receiving module for receiving at least one raw audio signal of an input channel;

[0032] An audio signal first detection module for performing index parameter detection on the at least one raw audio signal based on at least one preset index;

[0033] An audio signal first optimization module for adaptively matching a raw audio signal optimization strategy based on the index parameter detection result for optimization to obtain an optimized audio signal;

[0034] An audio signal test output module for outputting the optimized audio signal through a test signal output channel and obtaining a test signal feedback input signal through a test signal output feedback channel;

[0035] An audio signal second detection module for detecting the acoustic environment parameters of the audio playback scene based on the test signal feedback input signal, and detecting whether the volume of the optimized audio signal under the acoustic environment parameters of the playback scene meets a preset playback condition.

[0036] In a preferred embodiment of the present invention, the audio signal second detection module includes:

[0037] An ambient noise acquisition unit for an audio playback scenario, configured to separate an ambient noise signal of the audio playback scenario from the input signal of the test signal feedback based on the input signal and the optimized audio signal output by the test signal feedback;

[0038] An ambient noise parameter detection unit, configured to obtain influence parameters of the ambient noise signal on the normal representation of the optimized audio signal at different times, and the volume and frequency of the ambient noise signal at different times, based on the ambient noise signal of the audio playback scenario;

[0039] A second audio signal detection unit, configured to detect whether the volume of the optimized audio signal meets a preset playback condition under the acoustic environment parameters of the playback scenario.

[0040] A volume detection method and a detection system for a digital mixer according to the present invention have the following beneficial effects:

[0041] 1. The present invention detects index parameters of an original audio signal based on preset indexes, adaptively matches an optimization strategy for the original audio signal based on the detection results of the index parameters for optimization, and obtains an optimized audio signal, so as to achieve the first optimization of the original audio signal based on the audio feature parameters of the original audio signal itself. The input signal of the test signal feedback is obtained through the test signal output feedback channel, and the acoustic environment parameters of the audio playback scenario are detected based on the input signal of the test signal feedback. Whether the volume of the optimized audio signal meets the preset playback condition is determined based on the acoustic environment parameters of the playback scenario, so as to achieve the second optimization of the original audio signal in combination with the acoustic environment parameters of the audio playback scenario, improve the accuracy and multi-scenario adaptability of volume detection and volume adjustment of the digital mixer, and achieve high quality and high quality of the output audio of the digital mixer.

[0042] 2. In the present invention, for the detection of the acoustic environment parameters of the audio playback scenario, the ambient noise signal of the audio playback scenario is separated from the input signal of the test signal feedback based on the output optimized audio signal, which avoids the inaccuracy of directly collecting the ambient noise signal of the audio playback scenario. Directly using an audio acquisition device to collect the ambient noise signal of the audio playback scenario ignores the influence of different transmission processes of the audio signal in the playback scenario environment on the audio quality effect received by the listener. The present invention considers from the perspective of the audio listener, compares the optimized audio signal played based on the output with the audio signal actually heard by the listener at the listener end, and determines the acoustic environment parameters of the audio playback scenario based on the difference between the two. The obtained acoustic environment parameters of the audio playback scenario include the influence parameters of the audio transmission path on the audio playback effect at the audio receiving end and the influence parameters of the noise in the audio playback scenario on the audio playback effect at the audio receiving end, which improves the accuracy of volume detection of the digital mixer. Description of the Drawings

[0043] Figure 1It is a schematic flow chart of a volume detection method for a digital mixer in an embodiment of the present invention;

[0044] Figure 2 It is a schematic flow chart of detecting index parameters of an original audio signal in an embodiment of the present invention;

[0045] Figure 3 It is a schematic flow chart of optimizing an original audio signal based on the detection result of index parameters in an embodiment of the present invention;

[0046] Figure 4 It is a schematic flow chart of detecting acoustic environment parameters of an audio playback scene in an embodiment of the present invention;

[0047] Figure 5 It is a schematic flow chart of detecting whether the volume of an optimized audio signal meets a preset playback condition in an embodiment of the present invention;

[0048] Figure 6 It is a schematic structural diagram of a volume detection system for a digital mixer in an embodiment of the present invention. Detailed implementation manners

[0049] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Apparently, the described embodiments are some but not all of the embodiments of the present invention. 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.

[0050] Refer to the appendix Figure 1 , Figure 1 A volume detection method for a digital mixer provided by an embodiment of the present invention includes the following steps:

[0051] S1. Receive at least one original audio signal of an input channel;

[0052] S2. Perform index parameter detection on the at least one original audio signal based on at least one preset index;

[0053] S3. Adaptively match an original audio signal optimization strategy based on the index parameter detection result for optimization to obtain an optimized audio signal;

[0054] S4. Output the optimized audio signal through a test signal output channel, and obtain a test signal feedback input signal through a test signal output feedback channel;

[0055] S5. Detect the acoustic environment parameters of the audio playback scenario based on the test signal feedback input signal, and detect whether the volume of the optimized audio signal meets the preset playback conditions under the acoustic environment parameters of the playback scenario.

[0056] In the embodiments of the present invention, the audio to be played is received based on the input channel. It can be understood that there is at least one input channel, and the digital mixer can realize the combination of multiple input channels. In this embodiment, the index parameters of the multiple original audio signals of the multiple input channels received by the digital mixer are detected. The index parameters can be various indexes for characterizing multiple aspects of parameters such as timbre, volume, sound frequency, and noise. By detecting the index parameters, the performance parameters that need to be optimized for the original audio signal can be determined. Further, in the present application, the detected index parameters can be compared with the preset threshold of the index parameters to determine the parameters that need to be optimized, and the original audio signal is optimized for the first time. Among them, the preset threshold of the index parameters can be a fixed value or a threshold parameter adaptively determined based on the audio feature parameters of the currently received original audio signal itself, so as to implement an optimization strategy that optimally matches the original audio signal.

[0057] On this basis, after optimizing the original audio signal based on the optimization strategy, an optimal playback audio in an ideal playback environment is obtained, which is played and output as a test signal, and an output feedback signal in the to-be-played scenario is obtained. Based on the comparison and analysis of the feedback audio signal and the previously output optimized audio, an optimization strategy for the second optimization of the original audio signal is determined. Specifically, based on the comparison and analysis of the test signal feedback input signal and the optimized audio signal, the acoustic environment parameters of the audio playback scenario are determined, and it is analyzed whether the optimized audio signal can enable the listener to receive high-quality audio playback services in this audio playback scenario according to the acoustic environment parameters of the audio playback scenario.

[0058] The present invention detects the index parameters of the original audio signal based on the preset index, and adaptively matches the optimization strategy of the original audio signal based on the detection result of the index parameters for optimization to obtain the optimized audio signal, realizing the first optimization of the original audio signal based on the audio feature parameters of the original audio signal itself. The test signal feedback input signal is obtained through the test signal output feedback channel, and the acoustic environment parameters of the audio playback scenario are detected based on the test signal feedback input signal. It is determined whether the volume of the optimized audio signal meets the preset playback conditions based on the acoustic environment parameters of the playback scenario, realizing the second optimization of the original audio signal in combination with the acoustic environment parameters of the audio playback scenario, improving the accuracy and multi-scenario adaptability of the volume detection and volume adjustment of the digital mixer, and realizing the high quality and high quality of the audio output by the digital mixer.

[0059] Further, see the appendix Figure 2, in the above step S2, the index parameter detection is performed on the at least one path of original audio signals based on at least one preset index, where the preset index includes a first index for characterizing the amplitude distribution feature of the original audio signal and a second index for characterizing the noise content in the original audio signal;

[0060] Performing the index parameter detection on the at least one path of original audio signals based on the first index includes:

[0061] S21, determining the statistical distribution feature parameters of the residual signal based on the residual signal between the original audio signal and the preset amplitude threshold function;

[0062] In this step, the preset amplitude threshold function is a fixed constant value in one embodiment, and in another embodiment, it is a function for characterizing the predicted amplitude parameter at the current moment determined based on the amplitude change law of the original audio signal in the historical first time period before the current moment. Further,

[0063] Performing the index parameter detection on the at least one path of original audio signals based on the second index includes:

[0064] S22, performing wavelet transform on the original audio signal to obtain the frequency components in the signals at different moments;

[0065] S23, equally dividing the high-frequency component signals into at least one interval and calculating the information entropy of the high-frequency component signals in each interval.

[0066] Wherein the preset amplitude threshold function in step S21 is a fixed constant value in one embodiment, and in another embodiment, it is a function for characterizing the predicted amplitude parameter at the current moment determined based on the amplitude change law of the original audio signal in the historical first time period before the current moment. The preset amplitude threshold function is determined based on a preset trained audio signal amplitude prediction model, and the audio signal amplitude prediction model takes the amplitude of the original audio signal in the historical first time period before the current moment as the input and outputs the predicted amplitude parameter at the current moment.

[0067] In the embodiment of the present invention, the index parameters include the statistical distribution feature parameters of the residual signal between the original audio signal and the preset amplitude threshold function and the information entropy of the high-frequency component signals of the wavelet transform of the original audio signal.

[0068] Specifically, in the detection of the first indicator, the preset amplitude threshold function can be a fixed constant value. For example, a threshold interval with fixed upper and lower limits is set, and the difference between the original audio signal and the fixed value closest to the upper and lower limits of the threshold interval is calculated to generate a residual signal between the original audio signal and the preset amplitude threshold function. Based on this residual signal, statistical characteristic parameters of the residual signal are calculated. There is at least one of these statistical characteristic parameters, including but not limited to the frequency, mean, variance, divergence, etc. of different amplitudes of the signal. The difference between the distribution of the original audio signal and the preset amplitude threshold distribution can be obtained through the statistical characteristic parameters of this residual signal. It can be understood that when this difference is large, it is necessary to optimize the amplitudes at different moments of the original audio signal.

[0069] The preset amplitude threshold function among them can also be a threshold parameter adaptively determined based on the audio characteristic parameters of the original audio signal currently received. This preset amplitude threshold function is determined based on the amplitude change law of the original audio signal in the historical first time period before the current moment and is used to represent the predicted amplitude parameter at the current moment. For example, based on the amplitude increase or decrease of the original audio signal at the previous moment T1 before the current moment T0, the amplitude increase or decrease at the current moment T0 is determined, and then the predicted amplitude parameter at the current moment T0 can be determined. It can also be based on the mean of the amplitude increase or decrease of the original audio signal at several moments before the current moment T0 to determine the mean of the amplitude increase or decrease at the current moment T0, and then the predicted amplitude parameter at the current moment T0 can be determined.

[0070] Furthermore, this preset amplitude threshold function is determined based on a preset trained audio signal amplitude prediction model. This audio signal amplitude prediction model takes the amplitude of the original audio signal in the historical first time period before the current moment as input and outputs the predicted amplitude parameter at the current moment. This audio signal amplitude prediction model can be trained based on an LSTM neural network.

[0071] In the above step S23, the process of detecting the second indicator parameter, that is, obtaining the information entropy of the high-frequency component signal of the wavelet transform of the original audio signal, is as follows: Based on the original audio signal, wavelet transform is performed to obtain wavelet coefficients at each scale. The information entropy is calculated for the high-frequency wavelet coefficients. Specifically, the calculation method of this information entropy is: The high-frequency component signal is evenly divided into at least one interval; the energy entropy of the high-frequency component signal in each interval and the probability of the energy entropy of the high-frequency component signal in each interval among the energy entropies of all intervals are calculated respectively; the information entropy of the high-frequency component signal in each interval is calculated based on this probability value. Based on the information entropy obtained after the wavelet transform of the original audio signal, the size and distribution density of the noise information in the original audio signal can be determined. When the noise content in the original audio signal exceeds the ideal range, it is determined that it is necessary to optimize and denoise the original audio signal.

[0072] Further, refer to the appendix Figure 3 In step S3 above, based on the detection result of the index parameter, an original audio signal optimization strategy is adaptively matched for optimization, including:

[0073] S31. Determine whether to optimize the amplitudes of the original audio signal at different moments based on the statistical distribution characteristic parameters of the residual signal, and determine the optimization strategy;

[0074] S32. Determine the noise amount size parameter in the original audio signal and determine the denoising strategy based on the information entropy size of the high-frequency component signals in each interval.

[0075] In the embodiment of the present invention, the statistical distribution characteristic parameters of the residual signal characterize the difference between the distribution of the original audio signal and the preset amplitude threshold distribution. In one embodiment, determining whether to optimize the amplitudes of the original audio signal at different moments based on the statistical distribution characteristic parameters of the residual signal includes: based on whether the mean value of the residual signal is greater than the preset difference threshold, if so, optimize the amplitudes of the original audio signal at different moments. Further, the optimization process includes: compressing the amplitude based on the moments when the residual signal is greater than the first preset value, and the first preset value is 0 or greater than 0. In one embodiment, when the first preset value is greater than 0, the size of the first preset value can be determined based on the preset difference threshold. In this embodiment, when the first preset value is greater than 0, an allowable interval is set for the difference between the original audio signal distribution and the preset amplitude threshold distribution. When the residual parameter between the original audio signal and the preset amplitude threshold function is within the allowable interval, the original audio signal is regarded as consistent with the preset amplitude threshold function, improving the optimization effect of the amplitude of the original audio signal.

[0076] In the embodiment of the present invention, after the wavelet transform of the original audio signal, the information entropy size of the high-frequency component signals in each interval characterizes the size and distribution density of the noise information in the original audio signal. Determining the denoising strategy for the original audio signal based on this information entropy characteristic parameter includes: determining the noise estimation variance parameter based on the wavelet coefficient corresponding to the high-frequency component signal where the maximum value of the information entropy of the interval high-frequency component signal is located; determining the denoising threshold for the high-frequency component signal after the wavelet transform of the original audio signal based on the determined noise estimation variance parameter; performing the denoising process on the original audio signal based on the denoising threshold.

[0077] Further, refer to the appendix Figure 4 In step S5 above, detecting the acoustic environment parameters of the audio playback scene based on the test signal feedback input signal includes:

[0078] S51. Separating the audio playback scene environmental noise signal from the test signal feedback input signal based on the test signal feedback input signal and the output optimized audio signal;

[0079] S52. Obtain the influence parameters of the ambient noise signal on the normal representation of the optimized audio signal at different times, as well as the volume and frequency of the ambient noise signal at different times, based on the ambient noise signal of the audio playback scenario environment.

[0080] In the embodiment of the present invention, for the detection of the acoustic environment parameters of the audio playback scenario, it is obtained by separating the ambient noise signal of the audio playback scenario from the test signal feedback input signal based on the output optimized audio signal, avoiding the inaccuracy of directly collecting the ambient noise signal of the audio playback scenario. Directly using the audio acquisition device to collect the ambient noise signal of the audio playback scenario ignores the influence of different signal transmission processes of the audio signal in the playback scenario environment on the audio quality effect received by the listener. In this embodiment, from the perspective of the audio listener, by comparing the optimized audio signal played based on the output with the audio signal actually heard by the listener at the listener end, the acoustic environment parameters of the audio playback scenario are determined based on the difference between the two. It can be understood that the acoustic environment parameters of the audio playback scenario include the influence parameters of the audio transmission path on the audio playback effect at the audio receiving end and the influence parameters of the noise in the audio playback scenario on the audio playback effect at the audio receiving end.

[0081] In the embodiment of the present invention, the ambient noise signal of the audio playback scenario is separated from the test signal feedback input signal. A method of determining the power spectrum of the ambient noise signal based on the difference between the power spectrum of the test signal feedback input signal and the power spectrum of the optimized audio signal is adopted, and then the ambient noise signal is obtained based on the power spectrum of the ambient noise signal. Based on this ambient noise signal, on the one hand, obtain the influence parameters of the ambient noise signal on the normal representation of the optimized audio signal, including the frequency at which the normal representation of the optimized audio signal is affected and the lowest volume threshold at which the normal representation of the optimized audio signal is not affected at this frequency. On the other hand, based on this ambient noise signal, obtain the frequency and volume parameters of the ambient noise signal itself for comparative analysis with the optimized audio signal.

[0082] Further, see Appendix Figure 5 , in step S5 above, detecting whether the volume of the optimized audio signal under the detected acoustic environment parameters of the playback scenario meets the preset playback conditions includes:

[0083] S53. Detect whether there is a frequency in the audio signal that is affected by the ambient noise signal based on the influence parameters of the ambient noise signal on the normal representation of the optimized audio signal;

[0084] S54. Detect whether the volume at this frequency is affected by the ambient noise signal based on the frequency in the audio signal that is affected by the ambient noise signal;

[0085] S55. Detect, based on the volume of the environmental noise signal at different times, whether the difference between the volume of the optimized audio signal at different times and the volume of the environmental noise signal is greater than a preset threshold.

[0086] In the embodiments of the present invention, for the volume detection of the optimized audio signal, on the one hand, the influence of the environmental noise signal on the normal representation of the optimized audio signal is considered, and on the other hand, whether the volume of the environmental noise is greater than the volume of the optimized audio signal is considered. The influence of the environmental noise signal on the normal representation of the optimized audio signal includes that the frequencies with higher volume in the environmental noise will affect the normal representation of the volume of the optimized audio signal at similar frequencies, making the listener unable to hear the optimized audio signal. Therefore, in this embodiment, first, based on the influence parameters generated by the environmental noise signal on the normal representation of the optimized audio signal, it is detected whether there are frequencies in the audio signal affected by the environmental noise signal. If there are, it is detected whether the volume of the audio signal at the affected frequency is affected by the environmental noise signal, that is, whether it is greater than the lowest volume threshold at which the normal representation of the optimized audio signal at the affected frequency is not affected. If it is greater than or exceeds a certain range of the lowest volume threshold, it is determined that the normal representation of the optimized audio signal at the affected frequency is not affected.

[0087] In the embodiments of the present invention, when considering whether the volume of the environmental noise is greater than the volume of the optimized audio signal, it is determined based on whether the difference between the volume of the optimized audio signal at different times and the volume of the environmental noise signal is greater than a preset threshold. By setting the preset threshold, it can be ensured that the optimized audio signal is transmitted to the listener with high quality and high clarity under the environmental noise signal, and the influence of the volume of the environmental noise signal on the optimized audio signal is reduced.

[0088] The volume detection system of the digital mixer disclosed in the embodiments of the present invention will be described below. The volume detection system of the digital mixer described below can be mutually corresponding and referred to the volume detection method of the digital mixer described above.

[0089] Refer to Figure 6 , Figure 6 which is a schematic structural diagram of a volume detection system of a digital mixer disclosed in the embodiments of the present invention. As Figure 6 shown, the volume detection system of the digital mixer may include:

[0090] S61. A raw audio signal receiving module, configured to receive at least one raw audio signal of an input channel;

[0091] S62. An audio signal first detection module, configured to perform index parameter detection on the at least one raw audio signal based on at least one preset index;

[0092] S63. An audio signal first optimization module, configured to perform optimization by adaptively matching a raw audio signal optimization strategy based on the index parameter detection result to obtain an optimized audio signal;

[0093] S64, an audio signal test output module, is configured to output the optimized audio signal through a test signal output channel and obtain a test signal feedback input signal through a test signal output feedback channel;

[0094] S65, a second audio signal detection module, is configured to detect acoustic environment parameters of an audio playback scenario based on the test signal feedback input signal, and detect whether the volume of the optimized audio signal meets a preset playback condition under the acoustic environment parameters of the playback scenario.

[0095] Further, the second audio signal detection module includes:

[0096] An audio playback scenario ambient noise acquisition unit, configured to separate an audio playback scenario ambient noise signal from the test signal feedback input signal based on the test signal feedback input signal and the output optimized audio signal;

[0097] An ambient noise parameter detection unit, configured to obtain influence parameters generated by the ambient noise signal on the normal characterization of the optimized audio signal at different times, as well as the volume and frequency of the ambient noise signal at different times, based on the audio playback scenario ambient noise signal;

[0098] A second audio signal detection unit, configured to detect the

[0099] A volume detection system for a digital mixer provided by an embodiment of the present invention performs index parameter detection on an original audio signal based on a preset index, adaptively matches an original audio signal optimization strategy based on the index parameter detection result for optimization, and obtains an optimized audio signal, thereby realizing the first optimization of the original audio signal based on the audio feature parameters of the original audio signal itself. A test signal feedback input signal is obtained through a test signal output feedback channel, acoustic environment parameters of an audio playback scenario are detected based on the test signal feedback input signal, and it is determined whether the volume of the optimized audio signal meets a preset playback condition based on the acoustic environment parameters of the playback scenario, thereby realizing the second optimization of the original audio signal in combination with the acoustic environment parameters of the audio playback scenario, and improving the accuracy and multi-scenario adaptability of volume detection and volume adjustment of the digital mixer.

[0100] It should be understood that although the steps in the flowcharts of the embodiments of the present invention are shown sequentially in the direction of the arrows, these steps are not necessarily executed sequentially in the order indicated by the arrows. Unless there is a clear indication in this article, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, at least a part of the steps in each embodiment may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or sub-steps or stages of other steps.

[0101] Those of ordinary skill in the art can understand that all or part of the processes of implementing the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database or other medium used in the embodiments provided in the present application can include non-volatile and / or volatile memories. Non-volatile memories can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memories can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0102] The technical features of the above-described embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered to be within the scope described in this specification.

[0103] The above-described embodiments merely represent several implementation manners of the present invention. The description thereof is relatively specific and detailed, but it should not be construed as a limitation on the scope of the patent for the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several variations and improvements can still be made, and these all fall within the protection scope of the present invention. Therefore, the protection scope of the patent for the present invention shall be subject to the appended claims.

[0104] The foregoing is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for volume detection of a digital mixing console, characterized in that, it includes the following steps: Receiving at least one original audio signal of an input channel; Performing index parameter detection on the at least one original audio signal based on at least one preset index; Based on the index parameter detection result, adaptively matching an optimization strategy for the original audio signal for optimization to obtain an optimized audio signal; Outputting the optimized audio signal through a test signal output channel, and obtaining a test signal feedback input signal through a test signal output feedback channel; Detecting the acoustic environment parameters of the audio playback scene based on the test signal feedback input signal, and detecting whether the volume of the optimized audio signal meets the preset playback conditions under the acoustic environment parameters of the playback scene; The performing index parameter detection on the at least one original audio signal based on at least one preset index, wherein the preset index includes a first index for characterizing the amplitude distribution characteristics of the original audio signal and a second index for characterizing the noise content in the original audio signal; Performing index parameter detection on the at least one original audio signal based on the first index, including: Based on the residual signal between the original audio signal and the preset amplitude threshold function, determining the statistical distribution characteristic parameters of the residual signal; Performing index parameter detection on the at least one original audio signal based on the second index, including: Performing wavelet transform on the original audio signal to obtain the frequency components in the signals at different times; Dividing the high-frequency component signals into at least one interval on average, and calculating the information entropy of the high-frequency component signals in each interval.

2. The method for volume detection of a digital mixing console according to claim 1, characterized in that, The adaptively matching an optimization strategy for the original audio signal for optimization based on the index parameter detection result includes: Based on the statistical distribution characteristic parameters of the residual signal, determining whether to optimize the amplitudes of the original audio signal at different times, and determining the optimization strategy; Based on the information entropy magnitudes of the high-frequency component signals in each interval, determining the noise amount parameter in the original audio signal and determining the noise reduction strategy.

3. The method for volume detection of a digital mixing console according to claim 1, characterized in that, The preset amplitude threshold function is a fixed constant value.

4. The method for volume detection of a digital mixing console according to claim 1, characterized in that, The preset amplitude threshold function is a function for characterizing the predicted amplitude parameter at the current moment determined based on the amplitude change law of the original audio signal in the historical first time period before the current moment.

5. The method for volume detection of a digital mixing console according to claim 4, characterized in that, The preset amplitude threshold function is determined based on a preset trained audio signal amplitude prediction model, and the audio signal amplitude prediction model takes the amplitude of the original audio signal in the historical first time period before the current moment as the input and outputs the predicted amplitude parameter at the current moment.

6. The method for volume detection of a digital mixing console according to claim 1, characterized in that, The detecting the acoustic environment parameters of the audio playback scene based on the test signal feedback input signal includes: Based on the test signal, feedback the input signal and the optimized audio signal output, and separate the environmental noise signal of the audio playback scenario from the test signal feedback input signal; Based on the environmental noise signal of the audio playback scenario, obtain the influence parameters of the environmental noise signal on the normal representation of the optimized audio signal at different times, as well as the volume and frequency of the environmental noise signal at different times.

7. A method for detecting the volume of a digital mixing console according to claim 6, characterized in that, detecting whether the volume of the optimized audio signal under the acoustic environment parameters of the playback scenario meets the preset playback conditions, including: Based on the influence parameters of the environmental noise signal on the normal representation of the optimized audio signal, detect whether there is a frequency in the audio signal affected by the environmental noise signal; Based on the frequency in the audio signal affected by the environmental noise signal, detect whether the volume at this frequency is affected by the environmental noise signal; Based on the volume of the environmental noise signal at different times, detect whether the difference between the volume of the optimized audio signal at different times and the volume of the environmental noise signal is greater than a preset threshold.

8. A volume detection system for a digital mixing console, characterized in that, comprising: A raw audio signal receiving module for receiving at least one raw audio signal of the input channel; An audio signal first detection module for detecting index parameters of the at least one raw audio signal based on at least one preset index; An audio signal first optimization module for adaptively matching a raw audio signal optimization strategy based on the index parameter detection result for optimization to obtain an optimized audio signal; An audio signal test output module for outputting the optimized audio signal through a test signal output channel and obtaining a test signal feedback input signal through a test signal output feedback channel; An audio signal second detection module for detecting the acoustic environment parameters of the audio playback scenario based on the test signal feedback input signal, and detecting whether the volume of the optimized audio signal under the acoustic environment parameters of the playback scenario meets the preset playback conditions; Detecting the index parameters of the at least one raw audio signal based on at least one preset index, wherein the preset index includes a first index for characterizing the amplitude distribution characteristics of the raw audio signal and a second index for characterizing the noise content in the raw audio signal; Detecting the index parameters of the at least one raw audio signal based on the first index, including: Based on the residual signal between the raw audio signal and the preset amplitude threshold function, determine the statistical distribution characteristic parameters of the residual signal; Detecting the index parameters of the at least one raw audio signal based on the second index, including: Performing wavelet transform on the raw audio signal to obtain the frequency components in the signal at different times; Dividing the high-frequency component signals into at least one interval on average, and calculating the information entropy of the high-frequency component signals in each interval.

9. A volume detection system for a digital mixing console according to claim 8, characterized in that, The audio signal second detection module includes: An audio playback scenario ambient noise acquisition unit, configured to separate an audio playback scenario ambient noise signal from the test signal feedback input signal based on the test signal feedback input signal and the output optimized audio signal; An ambient noise parameter detection unit, configured to obtain, based on the audio playback scenario ambient noise signal, influence parameters generated by the ambient noise signal on the normal representation of the optimized audio signal at different times, and the volume and frequency of the ambient noise signal at different times; A second audio signal detection unit, configured to detect whether the volume of the optimized audio signal under the acoustic environment parameters of the playback scenario meets a preset playback condition.

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