Complex Ratio Masking for Monaural Speech Separation

Speech separation systems usually operate on the short-time Fourier transform (STFT) of noisy speech, and enhance only the magnitude spectrum while leaving the phase spectrum unchanged. This is done because there was a belief that the phase spectrum is unimportant for speech enhancement. Recent studies, however, suggest that phase is important for perceptual quality, leading some researchers to consider magnitude and phase spectrum enhancements. We present a supervised monaural speech separation approach that simultaneously enhances the magnitude and phase spectra by operating in the complex domain. Our approach uses a deep neural network to estimate the real and imaginary components of the ideal ratio mask…

• OS
  Ohio Supercomputer Center
• KN
  Korea National Institute of Health

  Award: R01 DC012048
• AF
  Air Force Office of Scientific Research

  Award: FA9550-12-1-0130