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The end-to-end approach for single-channel speech separation has been studied recently and shown promising results.
C. Feichtenhofer, A. Pinz, and A. Zisserman, “Convolutional two-stream network fusion for video action recognition,” in
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P. Mowlaee, R. Saeidi, and R. Martin, “Phase estimation for signal reconstruction in single-channel source separation,” in
2012
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K. Simonyan and A. Zisserman, “Two-stream convolutional networks for action recognition in videos,” in
2014
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J. R. Hershey, Z. Chen, J. Le Roux, and S. Watanabe, “Deep clustering: Discriminative embeddings for segmentation and separation,” in
2016
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2016
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C. Lea, R. Vidal, A. Reiter, and G. D. Hager, “Temporal convolutional networks: A unified approach to action segmentation,” in
2016
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L. Drude and R. Haeb-Umbach, “Tight integration of spatial and spectral features for bss with deep clustering embeddings.” in
2017
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D. Yu, M. Kolbæk, Z.-H. Tan, and J. Jensen, “Permutation invariant training of deep models for speaker-independent multi-talker speech separation,” in
2017
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M. Kolbæk, D. Yu, Z.-H. Tan, J. Jensen, M. Kolbaek, D. Yu, Z.-H. Tan, and J. Jensen, “Multitalker speech separation with utterance-level permutation invariant training of deep recurrent neural networks,”
2017
Earlier work this paper cites.
S. Venkataramani, J. Casebeer, and P. Smaragdis, “Adaptive front-ends for end-to-end source separation,” in
2017
Cited alongside, same era.
C. Lea, M. D. Flynn, R. Vidal, A. Reiter, and G. D. Hager, “Temporal convolutional networks for action segmentation and detection,” in
2017
Cited alongside, same era.
S. Gannot, E. Vincent, S. Markovich-Golan, and A. Ozerov, “A Consolidated Perspective on Multi-Microphone Speech Enhancement and Source Separation,”
2017
Cited alongside, same era.
Z. Chen, X. Xiao, T. Yoshioka, H. Erdogan, J. Li, and Y. Gong, “Multi-channel overlapped speech recognition with location guided speech extraction network,” in
2018
Cited alongside, same era.
T. Yoshioka, H. Erdogan, Z. Chen, and F. Alleva, “Multi-microphone neural speech separation for far-field multi-talker speech recognition,” in
2018
Cited alongside, same era.
Y. Luo, Z. Chen, and N. Mesgarani, “Speaker-independent speech separation with deep attractor network,”
2018
Later among the works it cites.
Z.-Q. Wang, J. Le Roux, and J. R. Hershey, “Alternative objective functions for deep clustering,” in
2018
Later among the works it cites.
2018
Later among the works it cites.
N. Takahashi, P. Agrawal, N. Goswami, and Y. Mitsufuji, “Phasenet: Discretized phase modeling with deep neural networks for audio source separation,” in
2018
Later among the works it cites.
2018
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Y. Luo and N. Mesgarani, “Tasnet: time-domain audio separation network for real-time, single-channel speech separation,” in
2018
Cited alongside, same era.
Y. Luo and N. Mesgaran1, “Tasnet: Surpassing ideal time-frequency masking for speech separation,”
2018
Cited alongside, same era.
Z.-Q. Wang, J. Le Roux, and J. R. Hershey, “Multi-channel deep clustering: Discriminative spectral and spatial embeddings for speaker-independent speech separation,” in
2018
Cited alongside, same era.
Z. Wang and D. Wang, “Integrating spectral and spatial features for multi-channel speaker separation,” in
2018
Cited alongside, same era.
Later among the works it cites.
S. Venkataramani, J. Casebeer, and P. Smaragdis, “End-to-end source separation with adaptive front-ends,” in
2018
Later among the works it cites.
2019
Closest in time.
J. Le Roux, G. Wichern, S. Watanabe, A. Sarroff, and J. R. Hershey, “Phasebook and friends: Leveraging discrete representations for source separation,”
2019
Closest in time.