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次へ: この文書について... 上へ: Model Composition by Lagrange 戻る: Conclusion


Raut, C. K., Yamamoto, H., Nishimoto, T., and Sagayama, S., ``Polynomial-Approximation-Based Model Adaptation for Noisy Speech Recognition,'' in Proc. The 2004 Spring Meeting of The Acoustical Society of Japan, vol. 1, pp. 121-122, 2004.

Varga, A. P. and Moore, R. K., ``Hidden Markov Model Decomposition of Speech and Noise,'' in Proc. ICASSP90, pp. 845-848, 1990.

Martin, F., Shikano, K., and Minami, Y., ``Recognition of Noisy Speech by Composition of Hidden Markov Models,'' in Proc. Eurospeech93, pp. 1031-1034, 1993.

Gales, M. J. F. and Young, S. J., ``Robust Continuous Speech Recognition using Parallel Model Combination,'' in IEEE Trans. on Speech and Audio Processing, vol. 4, no. 5, pp. 352-359, 1996.

Gales, M. J. F., ``Model-Based Techniques for Noise Robust Speech Recognition,'' Ph. D. Thesis, Cambridge University, 1995.

Gales, M. J. F. and Young, S. J., ``A Fast and Flexible Implementation of Parallel Model Combination,'' in Proc. ICASSP95, pp. 133-136, 1995.

Gong, Y., ``A Comparative Study of Approximations for Parallel Model Combination of Static and Dynamic Parameters,'' in Proc. ICSLP02, pp. 1029-1032, 2002.

Sagayama, S., Yamaguchi, Y., Takahashi, S., and Takahashi, J., ``Jacobian Approach to Fast Acoustic Model Adaptation,'' in Proc. ICASSP97, vol. 2, pp. 835-838, 1997.

Furui, S. and Itoh, D., ``Neural-Network-Based HMM Adaptation For Noisy Speech,'' in Proc. ICASSP01, vol.1, pp.365-368, 2001.

Acero, A. et al., ``HMM Adaptation using Vector Taylor Series for Noisy Speech Recognition,'' in Proc. ICSLP00, vol. 3, pp. 869-873, 2000.

Moreno, P. J., Raj, B., and Stern, R. M., ``A Vector Taylor Series Approach for Environment Independent Speech Recognition,'' in Proc. ICASSP96, pp. 733-736, 1996.

Crafa, S., Fissore, L., and Vair, C., ``Data-Driven PMC and Bayesian Learning Integration for Fast Model Adaptation in Noisy Environment,'' in Proc. ICSLP98, vol. 2, pp. 471-474 , 1998.

Minami, Y. and Furui, S., ``A Maximum Likelihood Procedure for a Universal Adaptation Method Based on HMM Composition,'' in Proc. ICASSP95, vol. 1, pp. 129-132, 1995.