How does the DVAD model work in denoising audio, and what is its unique feature for speech intelligibility?
The DVAD model first denoises the background noise and then increases the volume of the low voice. Its unique feature is transferring audio denoising into an image segmentation problem, removing noise areas in the audio image to achieve the purpose of audio denoising.