Joint Amplitude and Phase Refinement for Monaural Source Separation

Yoshiki Masuyama*, Kohei Yatabe, Kento Nagatomo, Yasuhiro Oikawa


研究成果: Article査読

5 被引用数 (Scopus)


Monaural source separation is often conducted by manipulating the amplitude spectrogram of a mixture (e.g., via time-frequency masking and spectral subtraction). The obtained amplitudes are converted back to the time domain by using the phase of the mixture or by applying phase reconstruction. Although phase reconstruction performs well for the true amplitudes, its performance is degraded when the amplitudes contain error. To deal with this problem, we propose an optimization-based method to refine both amplitudes and phases based on the given amplitudes. It aims to find time-domain signals whose amplitude spectrograms are close to the given ones in terms of the generalized alpha-beta divergences. To solve the optimization problem, the alternating direction method of multipliers (ADMM) is utilized. We confirmed the effectiveness of the proposed method through speech-nonspeech separation in various conditions.

ジャーナルIEEE Signal Processing Letters
出版ステータスPublished - 2020

ASJC Scopus subject areas

  • 信号処理
  • 応用数学
  • 電子工学および電気工学


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