Fetching the paper…
Reading the bibliography…
In this paper, we propose a novel technique for direct recognition of multiple speech streams given the single channel of mixed speech, without first separating them.
Z. Ghahramani and M. I. Jordan, “Factorial hidden markov models,”
1997
Earlier work this paper cites.
D. Yu, L. Deng, and G. E. Dahl, “Roles of pre-training and fine-tuning in context-dependent dbn-hmms for real-world speech recognition,” in
2010
Earlier work this paper cites.
M. Cooke, J. R. Hershey, and S. J. Rennie, “Monaural speech separation and recognition challenge,”
2010
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.
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
2012
Earlier work this paper cites.
O. Abdel-Hamid, A.-r. Mohamed, H. Jiang, and G. Penn, “Applying convolutional neural networks concepts to hybrid NN-HMM model for speech recognition,” in
2012
Earlier work this paper cites.
T. Hain, L. Burget, J. Dines, P. N. Garner, F. Grézl, A. E. Hannani, M. Huijbregts, M. Karafiat, M. Lincoln, and V. Wan, “Transcribing meetings with the amida systems,”
2012
Earlier work this paper cites.
P. Swietojanski, A. Ghoshal, and S. Renals, “Hybrid acoustic models for distant and multichannel large vocabulary speech recognition,” in
2013
Earlier work this paper cites.
D. Yu and L. Deng,
2014
Cited alongside, same era.
O. Abdel-Hamid, A.-r. Mohamed, H. Jiang, L. Deng, G. Penn, and D. Yu, “Convolutional neural networks for speech recognition,”
2014
Cited alongside, same era.
D. Yu, A. Eversole, M. Seltzer, K. Yao, Z. Huang, B. Guenter, O. Kuchaiev, Y. Zhang, F. Seide, H. Wang
2014
Cited alongside, same era.
T. N. Sainath, O. Vinyals, A. Senior, and H. Sak, “Convolutional, long short-term memory, fully connected deep neural networks,” in
2015
Cited alongside, same era.
M. Bi, Y. Qian, and K. Yu, “Very deep convolutional neural networks for LVCSR,” in
2015
Cited alongside, same era.
V. Mitra and H. Franco, “Time-frequency convolutional networks for robust speech recognition,” in
2015
Y. Qian, M. Bi, T. Tan, and K. Yu, “Very deep convolutional neural networks for noise robust speech recognition,”
2016
Later among the works it cites.
Y. Qian and P. C. Woodland, “Very deep convolutional neural networks for robust speech recognition,” in
2016
Later among the works it cites.
T. Sercu, C. Puhrsch, B. Kingsbury, and Y. LeCun, “Very deep multilingual convolutional neural networks for LVCSR,” in
2016
Later among the works it cites.
D. Yu, W. Xiong, J. Droppo, A. Stolcke, G. Ye, J. Li, and G. Zweig, “Deep convolutional neural networks with layer-wise context expansion and attention,” in
2016
Later among the works it cites.
2016
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
V. Peddinti, D. Povey, and S. Khudanpur, “A time delay neural network architecture for efficient modeling of long temporal contexts,” in
2015
Cited alongside, same era.
2015
Cited alongside, same era.
2015
Cited alongside, same era.
C. Weng, D. Yu, M. L. Seltzer, and J. Droppo, “Deep neural networks for single-channel multi-talker speech recognition,”
2015
Cited alongside, same era.
J. R. Hershey, Z. Chen, J. L. Roux, and S. Watanabe, “Deep clustering: Discriminative embeddings for segmentation and separation,” in
2016
Later among the works it cites.
Y. Isik, J. L. Roux, Z. Chen, S. Watanabe, and J. R. Hershey, “Single-Channel Multi-Speaker Separation Using Deep Clustering,” in
2016
Later among the works it cites.
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
Closest in time.
M. Kolbæk, D. Yu, Z.-H. Tan, and J. Jensen, “Multi-talker speech separation and tracing with permutation invariant training of deep recurrent neural networks,”
2017
Closest in time.
Z. Chen, Y. Luo, and N. Mesgarani, “Deep attractor network for single-microphone speaker separation,” in
2017
Closest in time.