Voice enhancing method based on generative adversarial network
A voice enhancement and network technology, applied in voice analysis, instruments, etc., can solve problems such as slow convergence speed and instability, and achieve the effects of reducing differences, eliminating noise, and improving clarity and quality
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[0040] The present invention will be further described below in combination with specific embodiments.
[0041] Such as figure 1As shown, the present invention proposes a speech enhancement method based on a generative confrontation network. The speech enhancement method uses a progressive training method, that is, simultaneously increases the signal-to-noise ratio of the data and the number of network layers, and makes the difficult speech denoising task Decomposed into several simple denoising tasks, the model can more easily reconstruct the distribution of pure speech. At the same time, the feature matching based on the discriminator is combined with the traditional feature mapping method, which can reduce the difference between the feature distribution of the enhanced speech and the feature distribution of the pure speech. In addition, the network is jointly optimized and trained using the GAN objective function to minimize the loss between the generator and the discrimi...
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