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Robust and far-field speech recognition is critical to enable true hands-free communication.
B. S. Atal, “Effectiveness of linear prediction characteristics of the speech wave for automatic speaker identification and verification,”
1974
Earlier work this paper cites.
J. E. Porter and S. F. Boll, “Optimal estimators for spectral restoration of noisy speech,” in
1984
Earlier work this paper cites.
H. Hermansky and N. Morgan, “RASTA processing of speech,”
1994
Earlier work this paper cites.
C.-P. Chen and J. A. Bilmes, “MVA processing of speech features,”
2007
Earlier work this paper cites.
R. F. Lyon, “Cascades of two-pole–two-zero asymmetric resonators are good models of peripheral auditory function,”
2011
Cited alongside, same era.
J. P. A. Pérez, S. C. Pueyo, and B. C. López,
2011
Cited alongside, same era.
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
Cited alongside, same era.
G. Chen, C. Parada, and G. Heigold, “Small-footprint keyword spotting using deep neural networks,” in
2014
Cited alongside, same era.
R. Prabhavalkar, R. Alvarez, C. Parada, P. Nakkiran, and T. N. Sainath, “Automatic gain control and multi-style training for robust small-footprint keyword spotting with deep neural networks,” in
2015
Later among the works it cites.
T. N. Sainath and C. Parada, “Convolutional neural networks for small-footprint keyword spotting,” in
2015
Later among the works it cites.
Y.-h. Chen, I. Lopez-Moreno, T. N. Sainath, M. Visontai, R. Alvarez, and C. Parada, “Locally-connected and convolutional neural networks for small footprint speaker recognition,” in
2015
Later among the works it cites.
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