Fetching the paper…
Reading the bibliography…
In recent years, wsj0-2mix has become the reference dataset for single-channel speech separation.
D. B. Paul and J. M. Baker, “The design for the Wall Street Journal-based CSR corpus,” in
1992
Earlier work this paper cites.
A. Janin, D. Baron, J. Edwards, D. Ellis, D. Gelbart, N. Morgan, B. Peskin, T. Pfau, E. Shriberg, A. Stolcke, and C. Wooters, “The ICSI meeting corpus,” in
2003
Earlier work this paper cites.
Ö. Çetin and E. Shriberg, “Analysis of overlaps in meetings by dialog factors, hot spots, speakers, and collection site: insights for automatic speech recognition,” in
2006
Earlier work this paper cites.
J. Carletta, S. Ashby, S. Bourban, M. Flynn, M. Guillemot, T. Hain, J. Kadlec, V. Karaiskos, W. Kraaij, M. Kronenthal, G. Lathoud, M. Lincoln, A. Lisowska, I. McCowan, W. Post, D. Reidsma, and P. Wellner, “The AMI meeting corpus: A pre-announcement,” in
2006
Earlier work this paper cites.
E. Vincent, R. Gribonval, and C. Févotte, “Performance measurement in blind audio source separation,”
2006
Earlier work this paper cites.
D. P. Kingma and J. Ba, “Adam: a method for stochastic optimization,”
2014
Earlier work this paper cites.
V. Panayotov, G. Chen, D. Povey, and S. Khudanpur, “LibriSpeech: an ASR corpus based on public domain audio books,” in
2015
Earlier work this paper cites.
T. Ko, V. Peddinti, D. Povey, and S. Khudanpur, “Audio augmentation for speech recognition,” in
2015
Earlier work this paper cites.
ITU-R, “Recommendation ITU-R BS.1770-4: Algorithms to measure audio programme loudness and true-peak audio level,” 2015
2015
Earlier work this paper cites.
J. R. Hershey, Z. Chen, J. Le Roux, and S. Watanabe, “Deep clustering: discriminative embeddings for segmentation and separation,” in
2016
Earlier work this paper cites.
J. M. K. Veaux, Christophe Yamagishi, “CSTR VCTK corpus: English multi-speaker corpus for CSTR voice cloning toolkit,”
2017
Earlier work this paper cites.
M. McAuliffe, M. Socolof, S. Mihuc, M. Wagner, and M. Sonderegger, “Montreal Forced Aligner: Trainable text-speech alignment using Kaldi,” in
2017
Cited alongside, same era.
D. Yu, M. Kolbæk, Z. Tan, and J. Jensen, “Permutation invariant training of deep models for speaker-independent multi-talker speech separation,” in
2017
Cited alongside, same era.
E. Vincent, T. Virtanen, and S. Gannot,
2018
Cited alongside, same era.
Y. Luo and N. Mesgarani, “TasNet: Time-domain audio separation network for real-time, single-channel speech separation,” in
2018
Cited alongside, same era.
J. Barker, S. Watanabe, E. Vincent, and J. Trmal, “The fifth ’CHiME’ speech separation and recognition challenge: Dataset, task and baselines,”
2018
Cited alongside, same era.
2019
Later among the works it cites.
J. Le Roux, S. Wisdom, H. Erdogan, and J. R. Hershey, “SDR — half-baked or well done?” in
2019
Later among the works it cites.
Y. Luo, Z. Chen, and T. Yoshioka, “Dual-path RNN: Efficient long sequence modeling for time-domain single-channel speech separation,” in
2020
Closest in time.
N. Zeghidour and D. Grangier, “Wavesplit: End-to-end speech separation by speaker clustering,”
2020
Closest in time.
J. Heitkaemper, D. Jakobeit, C. Boeddeker, L. Drude, and R. Haeb-Umbach, “Demystifying TasNet: A dissecting approach,” in
2020
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
——, “Conv-TasNet: Surpassing ideal time–frequency magnitude masking for speech separation,”
2019
Cited alongside, same era.
F. Bahmaninezhad, J. Wu, R. Gu, S.-X. Zhang, Y. Xu, M. Yu, and D. Yu, “A comprehensive study of speech separation: Spectrogram vs waveform separation,” in
2019
Cited alongside, same era.
G. Wichern, J. Antognini, M. Flynn, L. R. Zhu, E. McQuinn, D. Crow, E. Manilow, and J. Le Roux, “WHAM!: extending speech separation to noisy environments,” in
2019
Cited alongside, same era.
T. Menne, I. Sklyar, R. Schlüter, and H. Ney, “Analysis of deep clustering as preprocessing for automatic speech recognition of sparsely overlapping speech,” in
2019
Cited alongside, same era.
Y. Liu and D. Wang, “Divide and conquer: A deep casa approach to talker-independent monaural speaker separation,”
2019
Cited alongside, same era.
H. Zen, V. Dang, R. Clark, Y. Zhang, R. J. Weiss, Y. Jia, Z. Chen, and Y. Wu, “LibriTTS: A corpus derived from libriSpeech for text-to-speech,” in
2019
Cited alongside, same era.
M. Maciejewski, G. Wichern, E. McQuinn, and J. Le Roux, “WHAMR!: Noisy and reverberant single-channel speech separation,” in
2020
Closest in time.
B. Kadıoğlu, M. Horgan, X. Liu, J. Pons, D. Darcy, and V. Kumar, “An empirical study of Conv-TasNet,” in
2020
Closest in time.
Z. Chen, T. Yoshioka, L. Lu, T. Zhou, Z. Meng, Y. Luo, J. Wu, X. Xiao, and J. Li, “Continuous speech separation: Dataset and analysis,” in
2020
Closest in time.
2020
Closest in time.
M. Pariente, S. Cornell, A. Deleforge, and E. Vincent, “Filterbank design for end-to-end speech separation,” in
2020
Closest in time.