Large vocabulary speech recognition with multispan statistical language models

IEEE Transactions on Speech and Audio Processing

Volumn 8, Issue 1, 2000, Pages 76-84

  Bellegarda, Jerome R ^a  

^a APPLE INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; CONSTRAINT THEORY; MATHEMATICAL MODELS; STATISTICAL METHODS; VOCABULARY CONTROL;

LARGE VOCABULARY SPEECH RECOGNITION; LATENT SEMANTIC ANALYSIS; MULTISPAN STATISTICAL LANGUAGE MODELING;

SPEECH RECOGNITION;

EID: 0033894473     PISSN: 10636676     EISSN: None     Source Type: Journal    
DOI: 10.1109/89.817455     Document Type: Article

References (21)

1. T. Niesler and P. Woodland, "A variable-length category-based N-gram language model,"in Proc. 1996 Int. Conf. Acoustics, Speech, and Signal Processing, Atlanta, GA, May 1996, pp. 1164-1167.
2. R. Rosenfeld, "The CMU statistical language modeing toolkit and its use in the 1994 ARPA CSR evaluation,"in Proc. ARPA Speech and Natural Language Workshop, Mar. 1994.
3. R. Lau, R. Rosenfeld, and S. Roukos, "Trigger-based language models: A maximum entropy approach,"in Proc. 1993 Int. Conf. Acoustics, Speech, and Signal Processing, Minneapolis, MN, May 1993, pp. II45-II48.
4. R. Rosenfeld, "A maximum entropy approach to adaptive statistical language modelins,"in Computer Speech and Language. New York: Academic, July 1996, vol. 10, pp. 187-228.
5. J. R. Bellegarda, "A multi-span language modeling framework for large vocabulary speech recognition,"in IEEE Trans. Speech Audio Processing, vol. 6, Sept. 1998, pp. 456-467.
6. S. Deerwester, S. T. Dumais, G. W. Fumas, T. K. Landauer, and R. Harshman, "Indexing by latent semantic analysis,"J. Amer. Soc. Inform. Sci., vol. 41, pp. 391-407, 1990.
7. [71 P. W. Foltz and S. T. Dumais, "Personalized information delivery: An analysis of information filtering methods,"Commun. ACM, vol. 35, pp. 51-60, 1992.
8. M. W. Berry, S. T. Dumais, and G. W. O'Brien, "Using linear algebra for intelligent information retrieval,"SIAM Rev., vol. 37, pp. 573-595, 1995.
9. R. E. Story, "An explanation of the effectiveness of latent semantic indexing by means of a Bayesian regression model,"Inform. Process. Manage.,vol. 32, pp. 329-344, 1996.
10. T. K. Landauer and S. T. Dumais, "Solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge,"Psychol. Rev., vol. 104, pp. 211-240, 1997.
11. F. Kubala et al., "The hub and spoke paradigm for CSR evaluation,"in Proc. ARPA Speech and Natural Language Workshop, Mar. 1994, pp. 40-44.
12. J. R. Bellegarda et al., "A novel word clustering algorithm based on latent semantic analysis,"in Proc. 1996 Int. Conf. Acoustics, Speech, and Signal Processing, Atlanta, GA, May 1996, pp. 1172-1175.
13. Y. Gotoh and S. Renals, "Document space models using latent semantic analysis,"in Proc. EuroSpeech'97, Rhodes, Greece, Sept. 1997, pp. 1433-1448.
14. J. R. Bellegarda, "A latent semantic analysis for large-span language modeling,"in Proc. EuroSpeech'97, Rhodes, Greece, Sept. 1997, pp. 1451-1454.
15. "Exploiting both local and global constraints for multi-span statistical language modeling,"in Proc. 1998 Int. Conf. Acoustics, Speech, and Signal Processing, vol. 2, Seattle, WA, May 1998, pp. 677-680.
16. T. K. Landauer, D. Laham, B. Rehder, and M. E. Schreiner, "How well can passage meaning be derived without using word order: A comparison of latent semantic analysis and humans,"in Proc. Cognit. Sci. Soc., 1998.
17. S. T. Dumais, "Latent semantic indexing (LSI) and TREC-2,"in Proc. 2nd Text Retrieval Conf.(TREC-2), D. Harman, Ed., 1994, pp. 105-116.
18. M. W. Berry, "Large-scale sparse singular value computations,"Int. J. Supercomput. Appl., vol. 6, pp. 13-49, 1992.
19. J. R. Bellegarda and D. Nahamoo, "Tied mixture continuous parameter modeling for speech recognition,"IEEE Trans. Acoust., Speech, Signal Processing, vol. 38, pp. 2033-2045, Dec. 1990.
20. J. R. Bellegarda, "Context-dependent vector clustering for speech recognition,"in Speech and Speaker Recognition: Advanced Topics, C.-H. Lee, F. K. Soong, and K. K. Paliwal, Eds. Boston, MA: Kluwer, 1996, ch. 6, pp. 133-157.
21. R. Schwartz, L. Nguyen, and J. Makhoul, "Multiple-pass search strategy,"in Automatic Speech and Speaker Recognition: Advanced Topics, C.-H. Lee, F. K. Soong, and K. K. Paliwal, Eds. Boston, MA: Kluwer, 1996, ch. 18, pp. 429-456.