output
20182026
most citedEnd-to-End Speech Separation with Unfolded Iterative Phase Reconstruction

31 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing 2018 · cs.SDShow all

2 papers · 2 filters

cs.SD2018★ 8 cited

Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective

Zhong-Qiu Wang, Ke Tan, DeLiang Wang

This study investigates phase reconstruction for deep learning based monaural talker-independent speaker separation in the short-time Fourier transform (STFT) domain. The key obser…

cs.SD2018★ 31 cited

End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction

Zhong-Qiu Wang, Jonathan Le Roux, DeLiang Wang +1

This paper proposes an end-to-end approach for single-channel speaker-independent multi-speaker speech separation, where time-frequency (T-F) masking, the short-time Fourier transf…