Abstract: Example speech enhancement and noise suppression systems and methods are described. In one implementation, a method receives an audio file comprising a combination of voice data and noise data, and divides the audio file into multiple frames. The method performs a discrete Fourier transform on each frame of a first subset of the multiple frames to provide a plurality of frequency-domain outputs, which are input to a neural network. A ratio mask is obtained as an output from the neural network and clean voice coefficients are computed using the ratio mask. The method outputs an audio file having enhanced speech based on the computed clean voice coefficients.

Abstract: Example speech enhancement and noise suppression systems and methods are described. In one implementation, a method receives an audio file comprising a combination of voice data and noise data, and divides the audio file into multiple frames. The method performs a discrete Fourier transform on each frame of a first subset of the multiple frames to provide a plurality of frequency-domain outputs, which are input to a neural network. A ratio mask is obtained as an output from the neural network and clean voice coefficients are computed using the ratio mask. The method outputs an audio file having enhanced speech based on the computed clean voice coefficients.