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Transcribed datasets typically contain speaker identity for each instance in the data.
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“Reverberation robust acoustic modeling using i-vectors with time delay neural networks,”
V. Peddinti, G. Chen, D. Povey, and S. Khudanpur, · 2015
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“A time delay neural network architecture for efficient modeling of long temporal contexts,”
V. Peddinti, D. Povey, and S. Khudanpur, · 2015
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“Deep recurrent neural networks for acoustic modelling,”
W. Chan and I. Lane, · 2015
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“Librispeech: an asr corpus based on public domain audio books,”
V. Panayotov, G. Chen, D. Povey, and S. Khudanpur, · 2015
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“Domain-adversarial training of neural networks,”
Y. Ganin et al., · 2016
Cited alongside, same era.
“Multi-task learning for speech recognition: an overview,”
G. Pironkov, S. Dupont, and T. Dutoit, · 2016
Cited alongside, same era.
“Speaker-aware long short-term memory multi-task learning for speech recognition,”
G. Pironkov, S. Dupont, and T. Dutoit, · 2016
Cited alongside, same era.
“Multi-task recurrent model for speech and speaker recognition,”
Z. Tang, L. Li, and D. Wang, · 2016
Cited alongside, same era.
“Invariant representations for noisy speech recognition,”
Dmitriy S. et al., · 2016
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“English conversational telephone speech recognition by humans and machines,”
G. Saon et al., · 2017
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“Letter-based speech recognition with gated convnets,”
V. Liptchinsky, G. Synnaeve, and R. Collobert, · 2017
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S. Ruder, · 2017
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Y. N Dauphin, Aa Fan, M. Auli, and D. Grangier, · 2016
Cited alongside, same era.
“Wav2letter: an end-to-end convnet-based speech recognition system,”
R. Collobert, C. Puhrsch, and G. Synnaeve, · 2016
Cited alongside, same era.
“Jointly learning to locate and classify words using convolutional networks.,”
D. Palaz, G. Synnaeve, and R. Collobert, · 2016
Cited alongside, same era.
“Weight normalization: A simple reparameterization to accelerate training of deep neural networks,”
T. Salimans and D. Kingma, · 2016
Cited alongside, same era.
“Fine-grained analysis of sentence embeddings using auxiliary prediction tasks,”
Y. Adi, E. Kermany, Y. Belinkov, O. Lavi, and Y. Goldberg, · 2016
Cited alongside, same era.
“Deep speech 2 : End-to-end speech recognition in english and mandarin,”
Dario Amodei et al., · 2016
Cited alongside, same era.
“An adversarial regularisation for semi-supervised training of structured output neural networks,”
M. Nski, L. Simon, and F. Jurie, · 2017
Later among the works it cites.
“Speaker invariant feature extraction for zero-resource languages with adversarial learning,”
Taira Tsuchiya, Naohiro Tawara, Testuji Ogawa, and Tetsunori Kobayashi, · 2018
Closest in time.
“Speaker-invariant training via adversarial learning,”
Z. Meng, J. Li, Z. Chen, Y. Zhao, V. Mazalov, Y. Gong, et al., · 2018
Closest in time.
“Domain adversarial training for accented speech recognition,”
Sining Sun, Ching-Feng Yeh, Mei-Yuh Hwang, Mari Ostendorf, and Lei Xie, · 2018
Closest in time.
“Cross domain regularization for neural ranking models using adversarial learning,”
D. Cohen, B. Mitra, K. Hofmann, and W B. Croft, · 2018
Closest in time.