End-to-End Feedback Loss in Speech Chain Framework via Straight-Through Estimator

D. Griffin and J. Lim, “Signal estimation from modified short-time fourier transform,” IEEE Transactions on Acoustics, Speech, and Signal Processing

1984

Earlier work this paper cites.

D. B. Paul and J. M. Baker, “The design for the wall street journal-based csr corpus,” in Proceedings of the workshop on Speech and Natural Language

1992

Earlier work this paper cites.

Anchor books, Worth Publishers, 1993

P. Denes and E. Pinson, The Speech Chain · 1993

Earlier work this paper cites.

IEEE Catalog No.: CFP11SRW-USB

D. Povey, A. Ghoshal, G. Boulianne, L. Burget, O. Glembek, N. Goel, M. Hannemann, P. Motlicek, Y. Qian, P. Schwarz, J. Silovsky, G. Stemmer, and K. Vesely, “The Kaldi speech recognition toolkit,” in IEEE 2011 Workshop on Automatic Speech Recognition and Understanding · 2011

Earlier work this paper cites.

G. Hinton, “Neural networks for machine learning, Coursera video lectures,” 2012

2012

Earlier work this paper cites.

A. Graves, “Supervised sequence labelling,” in Supervised Sequence Labelling with Recurrent Neural Networks

2012

Earlier work this paper cites.

Y. Bengio, N. Léonard, and A. Courville, “Estimating or propagating gradients through stochastic neurons for conditional computation,” arXiv preprint arXiv:1308.3432

Original

2013

Earlier work this paper cites.

D. Bahdanau, K. Cho, and Y. Bengio, “Neural machine translation by jointly learning to align and translate,” arXiv preprint arXiv:1409.0473

Original

2014

Earlier work this paper cites.

A. Y. Hannun, A. L. Maas, D. Jurafsky, and A. Y. Ng, “First-pass large vocabulary continuous speech recognition using bi-directional recurrent DNNs,” arXiv preprint arXiv:1408.2873

Original

2014

Cited alongside, same era.

G. Hinton, O. Vinyals, and J. Dean, “Distilling the knowledge in a neural network,” arXiv preprint arXiv:1503.02531

Original

2015

Cited alongside, same era.

M.-T. Luong, H. Pham, and C. D. Manning, “Effective approaches to attention-based neural machine translation,” arXiv preprint arXiv:1508.04025

Original

2015

Cited alongside, same era.

C. J. Maddison, A. Mnih, and Y. W. Teh, “The concrete distribution: A continuous relaxation of discrete random variables,” arXiv preprint arXiv:1611.00712

Original

2016

Cited alongside, same era.

A. Tjandra, S. Sakti, and S. Nakamura, “Listening while speaking: Speech chain by deep learning,” in 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)

2017

Later among the works it cites.

E. Jang, S. Gu, and B. Poole, “Categorical reparameterization with gumbel-softmax,” 2017

2017

Later among the works it cites.

Y. Wang, R. Skerry-Ryan, D. Stanton, Y. Wu, R. J. Weiss, N. Jaitly, Z. Yang, Y. Xiao, Z. Chen, S. Bengio, et al

Original

2017

Later among the works it cites.

S. Kim, T. Hori, and S. Watanabe, “Joint ctc-attention based end-to-end speech recognition using multi-task learning,” in Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on

2017

Later among the works it cites.

A. Tjandra, S. Sakti, and S. Nakamura, “Attention-based wav2text with feature transfer learning,” in 2017 IEEE Automatic Speech Recognition and Understanding Workshop, ASRU 2017, Okinawa, Japan, December 16-20, 2017