Joint training of feature extraction and acoustic model...

Details Joint training of feature extraction and acoustic model... Joint training of feature extraction and acoustic model...

2011-02-08

2011-02-08

Smits, Talivaldis Ivars (Department: 2626)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S243000, C704S251000

Reexamination Certificate

active

07885812

ABSTRACT:
Parameters for a feature extractor and acoustic model of a speech recognition module are trained. An objective function is utilized to determine values for the feature extractor parameters and the acoustic model parameters.

REFERENCES:
patent: 5274739 (1993-12-01), Woodard
patent: 5615299 (1997-03-01), Bahl et al.
patent: 6490555 (2002-12-01), Yegnanarayanan et al.
patent: 6865531 (2005-03-01), Huang
patent: 6937981 (2005-08-01), Seo et al.
patent: 2003/0055640 (2003-03-01), Burshtein et al.
patent: 2004/0267530 (2004-12-01), He et al.
patent: 2007/0083373 (2007-04-01), Liu et al.
Rabiner, L. “A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition.” Proceedings of the IEEE vol. 77 No. 2, p. 257-286, Feb. 1989.
Y. LeChen, L. Bottou, Y. Bengio and P. Haffner, “Gradient-based learning applied to document recognition,” Proc. IEEE, vol. 86, No. 11, pp. 2278-2324, 1998.
Y. Bengio, r. De Mori, G. Flammia, and R. Kompe, “Global optimization of a neural network-hidden Markov model hybrid” IEEE Trans. on Neural Networks, vol. 3, No. 2, pp. 252-259, 1992.
J. Droppo, L. Deng, and A. Acero, “Evaluation of SPLICE on the Aurora 2 and 3 tasks” in Proc ICSLP, 2002, pp. 29-32.
M. Riedmiller and H. braun, “a direct adaptive method for faster backpropagation learning: The RPROP algorithm” in IEEE Int. Conf. On Neural Networks, 1993, vol. 1, pp. 586-591.
D. Macho, L. Mauuary, B. Noe, Y.M. Cheng, D. Ealey, D. Jouvest, H. Kelleher, D. Pearce and F. Saadoun, “Evaluation of a noise-robust DSR front-end on Aurora databases” in Proc. ICSLP, 2002, pp 17-20.
J. Le Roux and E. McDermott, “Optimization methods for discriminative training” in Proc. Eurospeech, 2005, pp. 3341-3345.
D. Ellis and M. Gomez, “Investigations into tandem acoustic modeling for the Aurora task” in Proc. Eurospeech, 2001, pp. 189-192.
J. Droppo, M. Mahajan, A. Gunawardana and A. Acero, “How to train a discriminative front end with stochastic gradient descent and maximum mutual information” in Proc. IEEE ASRU, 2005.
H.G. Hirsch and D. Pearce, “The Aurora experimental framework for the performance evaluations of speech recognition systems under noisy conditions” in ISCA ITRW ASR2000, 2000.
A. de la Torre, J.C. Segura, C. Segura, C. Benitez, A. Peinado and a.J. Rubio, “Nonlinear transformations of the feature space for robust speech recognition” in Proc. ICASSP, 2002, vol. 1, pp. 401-404.

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