Voice denoising method based on computational auditory scene analysis and countermeasure network model generation
A network model, speech noise reduction technology, applied in speech analysis, instruments, etc., can solve the problems of auditory system damage, high intensity, reducing the accuracy of speech recognition, etc., to achieve the effect of maintaining distortion
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[0018] The present invention will be described in detail below in conjunction with the implementations shown in the drawings, but it should be noted that these implementations are not limitations of the present invention, and those of ordinary skill in the art based on the functions, methods, or structural changes made by these implementations Equivalent transformations or substitutions all fall within the protection scope of the present invention.
[0019] This embodiment provides a speech noise reduction method based on Computational auditory scene analysis (CASA) and Generative adversarial networks (GAN) model, including:
[0020] Step 1, based on the generator (Generator) and discriminator (Discriminator) of the generative confrontation network, the noisy speech is processed to obtain intermediate results;
[0021] Step 2: Process the intermediate results based on the computational auditory scene analysis method to obtain the final result.
[0022] The voice noise reducti...
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