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Speech separation has been very successful with deep learning techniques.
E. Vincent, R. Gribonval, and C. Févotte, “Performance measurement in blind audio source separation,”
2006
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J. Thiemann, N. Ito, and E. Vincent, “Diverse environments multichannel acoustic noise database (demand),” 2013
2013
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Y. Wang, A. Narayanan, and D. Wang, “On training targets for supervised speech separation,”
2014
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Y. Miao, M. Gowayyed, and F. Metze, “Eesen: End-to-end speech recognition using deep rnn models and wfst-based decoding,” in
2015
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W. Chan, N. Jaitly, Q. V. Le, and O. Vinyals, “Listen, attend and spell,”
2015
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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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2016
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S. Kim, T. Hori, and S. Watanabe, “Joint ctc-attention based end-to-end speech recognition using multi-task learning,” in
2017
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A. Nagrani, J. S. Chung, and A. Zisserman, “Voxceleb: a large-scale speaker identification dataset,”
2017
Cited alongside, same era.
J. F. Gemmeke, D. P. Ellis, D. Freedman, A. Jansen, W. Lawrence, R. C. Moore, M. Plakal, and M. Ritter, “Audio set: An ontology and human-labeled dataset for audio events,” in
2017
Cited alongside, same era.
S. Pascual, A. Bonafonte, and J. Serrà, “Segan: Speech enhancement generative adversarial network,”
2017
Cited alongside, same era.
Z. Chen, Y. Luo, and N. Mesgarani, “Deep attractor network for single-microphone speaker separation,” in
2017
Cited alongside, same era.
D. Yu, M. Kolbæk, Z.-H. Tan, and J. Jensen, “Permutation invariant training of deep models for speaker-independent multi-talker speech separation,” in
Y. Luo and N. Mesgarani, “Tasnet: time-domain audio separation network for real-time, single-channel speech separation,” in
2018
Later among the works it cites.
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.
2018
Later among the works it cites.
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2017
Cited alongside, same era.
Y. Luo, Z. Chen, J. R. Hershey, J. Le Roux, and N. Mesgarani, “Deep clustering and conventional networks for music separation: Stronger together,” in
2017
Cited alongside, same era.
2017
Cited alongside, same era.
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
Cited alongside, same era.
D. Rethage, J. Pons, and X. Serra, “A wavenet for speech denoising,” in
2018
Cited alongside, same era.
Y. Luo and N. Mesgarani, “Tasnet: Surpassing ideal time-frequency masking for speech separation,”
2018
Later among the works it cites.
M. Ravanelli and Y. Bengio, “Speaker recognition from raw waveform with sincnet,”
2018
Later among the works it cites.
H.-S. Choi, J. Kim, J. Huh, A. Kim, J.-W. Ha, and K. Lee, “Phase-aware speech enhancement with deep complex u-net,” in
2019
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