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Techniques for multi-lingual and cross-lingual speech recognition can help in low resource scenarios, to bootstrap systems and enable analysis of new languages and domains.
“Language-independent and language-adaptive acoustic modeling for speech recognition,”
T. Schultz and A. Waibel, · 2001
Earlier work this paper cites.
“Integrating multilingual articulatory features into speech recognition,”
S. Stuker, F. Metze, T. Schultz, and A. Waibel, · 2003
Earlier work this paper cites.
“Cross-domain and cross-language portability of acoustic features estimated by multilayer perceptrons,”
A. Stolcke, F. Grezl, M.-Y. Hwang, X. Lei, N. Morgan, and D. Vergyri, · 2006
Earlier work this paper cites.
“Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks,”
A. Graves, S. Fernández, F. Gomez, and J. Schmidhuber, · 2006
Earlier work this paper cites.
“On the use of a multilingual neural network front-end,”
S. Scanzio, P. Laface, L. Fissore, R. Gemello, and F. Mana, · 2008
Earlier work this paper cites.
“Multilingual acoustic modeling for speech recognition based on subspace Gaussian mixture models,”
L. Burget, P. Schwarz, M. Agarwal, P. Akyazi, K. Feng, A. Ghoshal, O. Glembek, N. Goel, M. Karafiát, D. Povey, et al., · 2010
Earlier work this paper cites.
“Study of probabilistic and bottle-neck features in multilingual environment,”
F. Grézl, M. Karafiat, and M. Janda, · 2011
Earlier work this paper cites.
“The language-independent bottleneck features,”
K. Veselỳ, M. Karafiát, F. Grézl, M. Janda, and E. Egorova, · 2012
Earlier work this paper cites.
“Multilingual bottle-neck features and its application for under-resourced languages,”
N. T. Vu, F. Metze, and T. Schultz, · 2012
Cited alongside, same era.
“Unsupervised cross-lingual knowledge transfer in dnn-based lvcsr,”
P. Swietojanski, A. Ghoshal, and S. Renals, · 2012
Cited alongside, same era.
“Investigation of multilingual deep neural networks for spoken term detection,”
K. Knill, M. J. Gales, S. P. Rath, P. C. Woodland, C. Zhang, and S.-X. Zhang, · 2013
Cited alongside, same era.
“Multilingual training of deep neural networks,”
A. Ghoshal, P. Swietojanski, and S. Renals, · 2013
Cited alongside, same era.
“Multilingual acoustic models using distributed deep neural networks,”
G. Heigold, V. Vanhoucke, A. Senior, P. Nguyen, M. Ranzato, M. Devin, and J. Dean, · 2013
Cited alongside, same era.
“Adaptation of multilingual stacked bottle-neck neural network structure for new language,”
“EESEN: End-to-end speech recognition using deep RNN models and WFST-based decoding,”
Y. Miao, M. Gowayyed, and F. Metze, · 2015
Later among the works it cites.
“Achieving human parity in conversational speech recognition,”
W. Xiong, J. Droppo, X. Huang, F. Seide, M. Seltzer, A. Stolcke, D. Yu, and G. Zweig, · 2016
Later among the works it cites.
“Study of large data resources for multilingual training and system porting,”
F. Grézl, E. Egorova, and M. Karafiát, · 2016
Later among the works it cites.
“An empirical exploration of CTC acoustic models,”
Y. Miao, M. Gowayyed, X. Na, T. Ko, F. Metze, and A. Waibel, · 2016
Later among the works it cites.
“English conversational telephone speech recognition by humans and machines,”
G. Saon, G. Kurata, T. Sercu, K. Audhkhasi, S. Thomas, D. Dimitriadis, X. Cui, B. Ramabhadran, M. Picheny, L.-L. Lim, et al., · 2017
Later among the works it cites.
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F. Grézl, M. Karafiát, and K. Vesely, · 2014
Cited alongside, same era.
“Multilingual deep neural network based acoustic modeling for rapid language adaptation,”
N. T. Vu, D. Imseng, D. Povey, P. Motlicek, T. Schultz, and H. Bourlard, · 2014
Cited alongside, same era.
“An Investigation of Deep Neural Networks for Multilingual Speech Recognition Training and Adaptation,”
S. Tong, P. N. Garner, and H. Bourlard, · 2017
Later among the works it cites.
“Language Adaptive Multilingual CTC Speech Recognition,”
M. Müller, S. Stüker, and A. Waibel, · 2017
Later among the works it cites.