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In this paper, we propose a novel auxiliary loss function for target-speaker automatic speech recognition (ASR).
A. Waibel, T. Hanazawa, G. Hinton, K. Shikano, and K. J. Lang, “Phoneme recognition using time-delay neural networks,”
1989
Earlier work this paper cites.
S. Hochreiter and J. Schmidhuber, “Long short-term memory,”
1997
Earlier work this paper cites.
A. Graves, S. Fernández, F. Gomez, and J. Schmidhuber, “Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks,” in
2006
Earlier work this paper cites.
F. Seide, G. Li, and D. Yu, “Conversational speech transcription using context-dependent deep neural networks,” in
2011
Earlier work this paper cites.
N. Dehak, P. J. Kenny, R. Dehak, P. Dumouchel, and P. Ouellet, “Front-end factor analysis for speaker verification,”
2011
Earlier work this paper cites.
D. Povey, A. Ghoshal, G. Boulianne, L. Burget, O. Glembek, N. Goel, M. Hannemann, P. Motlíček, Y. Qian, P. Schwarz
2011
Earlier work this paper cites.
G. E. Dahl, D. Yu, L. Deng, and A. Acero, “Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition,”
2012
Earlier work this paper cites.
G. Hinton, L. Deng, D. Yu, G. E. Dahl, A.-r. Mohamed, N. Jaitly, A. Senior, V. Vanhoucke, P. Nguyen, T. N. Sainath, and B. Kingsbury, “Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups,”
2012
Earlier work this paper cites.
K. Veselỳ, A. Ghoshal, L. Burget, and D. Povey, “Sequence-discriminative training of deep neural networks,” in
2013
Earlier work this paper cites.
H. Su, G. Li, D. Yu, and F. Seide, “Error back propagation for sequence training of context-dependent deep networks for conversational speech transcription,” in
2013
Earlier work this paper cites.
G. Saon, H. Soltau, D. Nahamoo, and M. Picheny, “Speaker adaptation of neural network acoustic models using i-vectors,” in
2013
Earlier work this paper cites.
J. Chorowski, D. Bahdanau, K. Cho, and Y. Bengio, “End-to-end continuous speech recognition using attention-based recurrent NN: First results,”
2014
Earlier work this paper cites.
V. Peddinti, D. Povey, and S. Khudanpur, “A time delay neural network architecture for efficient modeling of long temporal contexts,” in
2015
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.
2016
Cited alongside, same era.
D. Amodei, S. Ananthanarayanan, R. Anubhai, J. Bai, E. Battenberg, C. Case, J. Casper, B. Catanzaro, Q. Cheng, G. Chen
2016
Cited alongside, same era.
J. R. Hershey, Z. Chen, J. Le Roux, and S. Watanabe, “Deep clustering: Discriminative embeddings for segmentation and separation,” in
2016
Cited alongside, same era.
D. Povey, V. Peddinti, D. Galvez, P. Ghahrmani, V. Manohar, X. Na, Y. Wang, and S. Khudanpur, “Purely sequence-trained neural networks for ASR based on lattice-free MMI,” in
2016
Cited alongside, same era.
Y. Isik, J. Le Roux, Z. Chen, S. Watanabe, and J. R. Hershey, “Single-channel multi-speaker separation using deep clustering,” in
Y. Wang, V. Peddinti, H. Xu, X. Zhang, D. Povey, and S. Khudanpur, “Backstitch: Counteracting finite-sample bias via negative steps,” in
2017
Later among the works it cites.
N. Kanda, Y. Fujita, and K. Nagamatsu, “Lattice-free state-level minimum Bayes risk training of acoustic models,” in
2018
Later among the works it cites.
T. Yoshioka, H. Erdogan, Z. Chen, X. Xiao, and F. Alleva, “Recognizing overlapped speech in meetings: A multichannel separation approach using neural networks,” in
2018
Later among the works it cites.
J. Barker, S. Watanabe, E. Vincent, and J. Trmal, “The fifth CHiME speech separation and recognition challenge: Dataset, task and baselines,” in
2018
Later among the works it cites.
N. Kanda, R. Ikeshita, S. Horiguchi, Y. Fujita, K. Nagamatsu, X. Wang, V. Manohar, N. E. Y. Soplin, M. Maciejewski, S.-J. Chen
2018
Later among the works it cites.
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2016
Cited alongside, same era.
W. Chan, N. Jaitly, Q. Le, and O. Vinyals, “Listen, attend and spell: A neural network for large vocabulary conversational speech recognition,” in
2016
Cited alongside, same era.
G. Saon, G. Kurata, T. Sercu, K. Audhkhasi, S. Thomas, D. Dimitriadis, X. Cui, B. Ramabhadran, M. Picheny, L.-L. Lim
2017
Cited alongside, same era.
W. Xiong, J. Droppo, X. Huang, F. Seide, M. L. Seltzer, A. Stolcke, D. Yu, and G. Zweig, “Toward human parity in conversational speech recognition,”
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, X. Chang, and Y. Qian, “Recognizing multi-talker speech with permutation invariant training,” 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
2017
Cited alongside, same era.
K. Zmolikova, M. Delcroix, K. Kinoshita, T. Higuchi, A. Ogawa, and T. Nakatani, “Speaker-aware neural network based beamformer for speaker extraction in speech mixtures,” in
2017
Cited alongside, same era.
Z. Chen, J. Droppo, J. Li, W. Xiong, Z. Chen, J. Droppo, J. Li, and W. Xiong, “Progressive joint modeling in unsupervised single-channel overlapped speech recognition,”
2018
Later among the works it cites.
S. Settle, J. Le Roux, T. Hori, S. Watanabe, and J. R. Hershey, “End-to-end multi-speaker speech recognition,” in
2018
Later among the works it cites.
H. Seki, T. Hori, S. Watanabe, J. Le Roux, and J. R. Hershey, “A purely end-to-end system for multi-speaker speech recognition,” in
2018
Later among the works it cites.
M. Delcroix, K. Zmolikova, K. Kinoshita, A. Ogawa, and T. Nakatani, “Single channel target speaker extraction and recognition with speaker beam,” in
2018
Later among the works it cites.
Y. Qian, X. Chang, and D. Yu, “Single-channel multi-talker speech recognition with permutation invariant training,”
2018
Later among the works it cites.
N. Kanda, Y. Fujita, and K. Nagamatsu, “Sequence distillation for purely sequence trained acoustic models,” in
2018
Later among the works it cites.
N. Kanda, Y. Fujita, S. Horiguchi, R. Ikeshita, K. Nagamatsu, and S. Watanabe, “Acoustic modeling for distant multi-talker speech recognition with single- and multi-channel branches,” in
2019
Closest in time.
X. Chang, Y. Qian, K. Yu, and S. Watanabe, “End-to-end monaural multi-speaker asr system without pretraining,” in
2019
Closest in time.