USING STORY TOPICS FOR LANGUAGE MODEL ADAPTATION

5th European Conference on Speech Communication and Technology, EUROSPEECH 1997

Volumn , Issue , 1997, Pages 1987-1990

  Seymore, Kristie ^a   Rosenfeld, Ronald ^a  

^a Carnegie Mellon University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; SPEECH COMMUNICATION;

% REDUCTIONS; ADAPTATION SCHEME; LANGUAGE MODEL; LANGUAGE MODEL ADAPTATION; N-BEST LIST; SPECIFIC LANGUAGES; SUBJECT MATTERS; TOPIC ADAPTATION; TRAINING DATA;

TREES (MATHEMATICS);

EID: 77958528496     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. K. Seymore, S. Chen, M. Eskenazi and R. Rosenfeld, “Language and Pronunciation Modeling in the CMU 1996 Hub 4 Evaluation,” Proc. of the 1997 ARPA Speech Recognition Workshop, 1997.
2. R. Iyer, M. Ostendorf, “Modeling Long Distance Dependence in Language: Topic Mixtures vs. Dynamic Cache Models,” Proc. ICSLP, vol. 1, 1996, pp. 236-239.
3. P. Clarkson, A. Robinson, “Language Model Adaptation Using Mixtures and an Exponentially Decaying Cache,” Proc. ICASSP, vol. 2, 1997, pp. 799-802.
4. B. Carlson, “Unsupervised Topic Clustering of Switchboard Speech Messages”, Proc. ICASSP, 1996, pp. 315-318.
5. G. Salton, “Developments in Automatic Text Retrieval,” Science, Vol. 253, 1991, pp. 974-980.
6. K. Seymore, R. Rosenfeld, “Large-scale Topic Detection and Language Model Adaptation”, Carnegie Mellon University Technical Report, June 1997.
7. P. Placeway et al., “The 1996 Hub-4 Sphinx-3 System,” Proc. of the 1997 ARPA Speech Recognition Workshop, 1997.
8. S. Katz, “Estimation of Probabilities from Sparse Data for the Language Model Component of a Speech Recognizer,” IEEE Transactions on Acoustics, Speech and Signal Processing, vol. ASSP-35, no. 3, March 1987, pp. 400-401.