Audio mixing method and device based on command and dispatch system and storage medium
A command and dispatch system and sound mixing technology, which is applied in speech analysis, sounding equipment, instruments, etc., can solve the problems that cannot meet the mixing requirements of high-quality command and dispatch system, and improve the quality of voice equalization, reduce hardware requirements, and complicate calculations low degree of effect
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Embodiment 1
[0036] This embodiment provides an audio mixing method based on the command and dispatch system, which can meet the high-quality automatic sound mixing requirements of the 256K command high-fidelity dispatch system and reduce the dependence on professionals. Such as figure 1 As shown, the audio mixing method of this embodiment specifically includes:
[0037] Step S1: Collect training samples for neural network training to construct a neural network model.
[0038] Collect several groups of mixed sound data as training samples, among which the mixed sound data used as training samples is 256k high-fidelity scheduling voice audio data, the sampled value of the mixed sound data is used as input, and the sampled value after mixing is used as output, and the network Train to build a neural network model. The neural network has memory, parameter sharing and Turing completeness, so it has certain advantages in learning the nonlinear characteristics of the sequence.
[0039] Among ...
Embodiment 2
[0047] This embodiment provides an audio mixing device based on the command and dispatch system. The audio mixing device can directly process the audio data of the multi-channel 256k high-fidelity command and dispatch system by using a neural network, and can realize the high-fidelity audio recording conveniently and quickly. The mixing sound has high practical value. Such as Figure 4 As shown, the audio mixing device of this embodiment specifically includes at least several important parts of a neural network training module 1 , a normalization processing module 2 and a processor module 3 .
[0048] Wherein, the neural network training module 1 is used for training the network to construct a neural network model by taking the sampling values of each group of audio data of the training samples as input and taking the sampling values of the audio data after mixing as output.
[0049] And described normalization processing module 2 is used for using the sound bit number of...
Embodiment 3
[0054] The present invention further discloses a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the audio mixing method based on the 256k high-fidelity command and dispatch system described in Embodiment 1 is realized.
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