Correlated bigram LSA for unsupervised language model adaptation

Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference

Volumn , Issue , 2009, Pages 1633-1640

  Tam, Yik Cheung ^a   Schultz, Tanja ^a  

^a Carnegie Mellon University ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC SPEECH RECOGNITION; BIGRAMS; LANGUAGE MODEL ADAPTATION; LINEAR INTERPOLATION; MARGINAL ADAPTATION; N-GRAMS; SCALABILITY ISSUE; TEST SETS; TRAINING CORPUS; VARIATIONAL EM;

SPEECH RECOGNITION;

EID: 84858770011     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. J. R. Bellegarda, "Large Vocabulary Speech Recognition with Multispan Statistical Language Models," IEEE Transactions on Speech and Audio Processing, vol. 8, no. 1, pp. 76-84, Jan 2000. (Pubitemid 30540739)
2. D. Blei, A. Ng, and M. Jordan, "Latent Dirichlet Allocation," in Journal of Machine Learning Research, 2003, pp. 1107-1135.
3. Y. C. Tam and T. Schultz, "Language model adaptation using variational Bayes inference," in Proceedings of Interspeech, 2005.
4. D. Mrva and P. C. Woodland, "Unsupervised language model adaptation for mandarin broadcast conversation transcription," in Proceedings of Interspeech, 2006.
5. T. Griffiths, M. Steyvers, D. Blei, and J. Tenenbaum, "Integrating topics and syntax," in Advances in Neural Information Processing Systems, 2004.
6. B. J. Hsu and J. Glass, "Style and topic language model adaptation using HMM-LDA," in Proceedings of Empirical Methods on Natural Language Processing (EMNLP), 2006.
7. Hanna M. Wallach, "Topic Modeling: Beyond Bag-of-Words," in International Conference on Machine Learning, 2006.
8. P. Xu, A. Emami, and F. Jelinek, "Training connectionist models for the structured language model," in Proceedings of Empirical Methods on Natural Language Processing (EMNLP), 2003.
9. R. Kneser and H. Ney, "Improved backing-off forM-gram language modeling," in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 1995, vol. 1, pp. 181-184.
10. R. Kneser, J. Peters, and D. Klakow, "Language model adaptation using dynamic marginals," in Proceedings of European Conference on Speech Communication and Technology (EUROSPEECH), 1997, pp. 1971-1974.
11. R. Iyer and M. Ostendorf, "Modeling long distance dependence in language: Topic mixtures versus dynamic cache models," IEEE Transactions on Speech and Audio Processing, vol. 7, no. 1, pp. 30-39, Jan 1999.
12. X. Wang, A. McCallum, and X. Wei, "Topical N-grams: Phrase and topic discovery, with an application to information retrieval," in IEEE International Conference on Data Mining, 2007.
13. T. Minka, "The dirichlet-tree distribution," 1999.
14. Y. C. Tam and T. Schultz, "Correlated latent semantic model for unsupervised language model adaptation," in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2007.
15. A. Stolcke, "SRILM - an extensible language modeling toolkit," in Proceedings of International Conference on Spoken Language Processing (ICSLP), 2002.