Mutual Information and Perplexity Based Clustering of Dialogue Information for Dynamic Adaptation of Language Models-Reference-Cited by-同舟云学术

Mutual Information and Perplexity Based Clustering of Dialogue Information for Dynamic Adaptation of Language Models

Published:2012 Issue: Volume: Page:148-157
ISSN:1865-0929
Container-title:Advances in Speech and Language Technologies for Iberian Languages
language:
Short-container-title:

Author:

Lucas-Cuesta Juan Manuel,Fernández-Martínez Fernando,Moreno Tirso,Ferreiros Javier

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-35292-8_16

Reference9 articles.

1. Bahl, R.L., Brown, P.F., de Souza, P.V., Mercer, R.L.: Maximum Mutual Information Estimation of Hidden Markov Model Parameters for Speech Recognition. In: Proc. ICASSP, pp. 49–52 (1986)

2. Bellegarda, J.R., Butzberger, J.W., Chow, Y.L., Coccaro, N.B., Naik, D.: A Novel Word Clustering Algorithm Based on Latent Semantic Analysis. In: Proc. ICASSP, vol. I, pp. 172–175 (1996)

3. Bellegarda, J.R.: Statistical language model adaptation: review and perspectives. Speech Comm. 42, 93–108 (2004)

4. Fernández, F., Ferreiros, J., Sama, V., Montero, J.M., San-Segundo, R., Macías-Guarasa, J.: Speech Interface for Controlling a Hi-Fi Audio System Based on a Bayesian Belief Networks Approach for Dialog Modeling. In: Proc. INTERSPEECH, pp. 3421–3424 (2005)

5. GuoDong, Z., KimTeng, L.: Interpolation of n-gram and mutual-information based trigger pair language models for Mandarin speech recognition. Comp. Speech & Lang. 13, 125–141 (1999)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Station-to-User Transfer Learning;Proceedings of the 28th International Conference on Advances in Geographic Information Systems;2020-11-03