Model Adaptation

Author:

Fink Gernot A.

Publisher

Springer London

Reference23 articles.

1. Bigi, B., De Mori, R., El-Béze, M., Spriet, T.: Combined models for topic spotting and topic-dependent language modeling. In: Furui, S., Huang, B.H., Chu, W. (eds.) Proc. Workshop on Automatic Speech Recognition and Understanding, pp. 535–542 (1997)

2. Boulis, C., Diakoloukas, V.D., Digalakis, V.V.: Maximum likelihood stochastic transformation adaptation for medium and small data sets. Computer Speech & Language 15, 257–285 (2001)

3. Boulis, C., Digalakis, V.V.: Fast speaker adaptation of large vocabulary continuous density HMM speech recognizer using a basis transform approach. In: Proc. Int. Conf. on Acoustics, Speech, and Signal Processing, Istanbul, pp. 3630–3633 (2000)

4. Clarkson, P.R., Robinson, A.J.: Language model adaptation using mixtures and an exponentially decaying cache. In: Proc. Int. Conf. on Acoustics, Speech, and Signal Processing, München, vol. 2, pp. 799–802 (1997)

5. Diakoloukas, V.D., Digalakis, V.V.: Adaptation of Hidden Markov Models using multiple stochastic transformations. In: Proc. European Conf. on Speech Communication and Technology, pp. 2063–2066 (1997)

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