Automatic Recognition of Keywords in Unconstrained Speech Using Hidden Markov Models

IEEE Transactions on Acoustics, Speech, and Signal Processing

Volumn 38, Issue 11, 1990, Pages 1870-1878

  Wilpon, Jay G ^a   Rabiner, Lawrence R ^a   Lee, Chin Hui ^a   Goldman, E R ^a  

^a LUCENT TECHNOLOGIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PROBABILITY--RANDOM PROCESSES; STATISTICAL METHODS;

HIDDEN MARKOV MODELS;

SPEECH;

EID: 0025517070     PISSN: 00963518     EISSN: None     Source Type: Journal    
DOI: 10.1109/29.103088     Document Type: Article

References (26)

1. J. G. Wilpon, D. M. DeMarco, and R. P. Mikkilineni, “Isolated word recognition over the DDD telephone network—results of two extensive field studies,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (New York, NY), Apr. 1988, IS.1.10, pp. 55-57.
2. C.-H. Lee, “Some techniques for creating robust stochastic models for speech recognition,” J. Acoust. Soc. Amer., suppl. 1, vol. 82, Fall 1987.
3. F. Itakura, “Minimum prediction residual principle applied to speech applications,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-23, no. 1, pp. 67-72, Feb. 1975.
4. L. R. Rabiner, and S. E. Levinson, “Isolated and connected word recognition—theory and selected applications,” IEEE Trans. Commun., vol. COM-29, no. 5, pp. 621-659, May 1981.
5. J. G. Wilpon and L. R. Rabiner, “On the recognition of isolated digits from a large telephone customer population,” Bell Syst. Tech. J., vol. 61, no. 7, pp. 1977-2000, Sept. 1983.
6. J. G. Wilpon, “A study on the ability to automatically recognize telephone quality speech from large customer populations,” AT&T Tech. J., vol. 64, no. 2, pp. 423-451, Feb. 1985.
7. L. R. Rabiner, and J. G. Wilpon, “Some performance benchmarks for isolated word, speech recognition systems,” Comput. Speech, Language, vol. 2, no. 3/4, pp. 343-358, Dec. 1987.
8. R. Thanawala, B. H. Fetz, and R. J. Piereth, “Automatic speech recognition in the public switch network,” in Proc. 5th World Telecom Forum, vol. 1, pt. 2, 1986, pp. 235-238.
9. R. W. Christiansen, and C. K. Rushforth, “Detecting and locating key words in continuous speech using linear predictive coding,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-25, no. 5, pp. 361-367, Oct. 1977.
10. A. L. Higgins, and R. E. Wohlford, “Keyword recognition using template concatenation,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (Tampa, FL), Mar. 1985, pp. 1233-1236.
11. C. S. Myers, L. R. Rabineer, and A. E. Rosenberg, “An investigation of the use of dynamic time warping for word spotting and connected word recognition,” in Proc. Conf. Acoust., Speech, Signal Processing (Denver, CO), Apr. 1980, pp. 173-177.
12. R. W. Bossemeyer, J. G. Wilpon, C. H. Lee, and L. R. Rabiner, “Automatic speech recognition of small vocabularies within the context of unconstraint input,” J. Acoust. Soc. Amer., suppl. 1, vol. 84, Nov. 1988.
13. F. Jelinek, “Continuous speech recognition by statistical methods,” Proc. IEEE, vol. 64, pp. 532-556, 1976.
14. J. Spohrer, P. Brown, P. Hochschild, and J. Baker, “Partial traceback in continuous speech recognition,” in Proc. IEEE Int. Conf. Cybern. Soc. (Boston, MA), Apr. 1980.
15. L. Bahl, R. Bakis, P. Cohen, A. Cole, F. Jelinek, B. Lewis, and R. Mercer, “Speech recognition of a natural text read as isolated words,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (Atlanta, GA), Apr. 1981, pp. 1168-1169.
16. J. G. Wilpon and L. R. Rabiner, “Application of hidden Markov models to automatic speech endpoint detection,” Comput. Speech Language, vol. 2, no. 3/4, pp. 321-341, Dec. 1987.
17. A. B. Poritz and A. Richter, “On hidden Markov models in isolated word recognition,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (Tokyo, Japan), Apr. 1986, pp. 705-708.
18. L. R. Rabiner, J. G. Wilpon, and F. K. Soong, “High performance connected digit recognition using hidden Markov models,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 37, no. 6, pp. 1214-1225, Aug. 1989.
19. C. H. Lee and L. R. Rabiner, “A frame-synchronous network search algorithm for connected word recognition,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 37, no. 11, pp. 1649-1658, Nov. 1989.
20. L. R. Rabiner, J. G. Wilpon, and B. H. Juang, “A segmental it means training procedure for connected word recognition based on whole word reference patterns,” AT&T Tech. J., vol. 65, no. 3, pp. 21-31, May 1986.
21. L. R. Rabiner, J. G. Wilpon, and B. H. Juang, “A model-based connected-digit recognition system using either hidden Markov models or templates,” Comput., Speech, Language, vol. 1, no. 2, pp. 167-197, Dec. 1986.
22. K.-F. Lee, “Large-vocabulary speaker-independent continuous speech recognition: The SPHINX system,” Ph.D. dissertation, Carnegie-Mellon Univ., Pittsburgh, PA, 1988.
23. F. Jelinek, “Continuous speech recognition by statistical methods,” Proc. IEEE, vol. 64, pp. 532-556, 1976.
24. L. R. Rabiner, B. H. Juang, S. E. Levinson, and M. M. Sondhi, “Recognition of isolated digits using hidden Markov models with continuous mixture densities,” AT&T Tech. J., vol. 64, pp. 1211-1234, 1985.
25. L. R. Rabiner, C. H. Lee, B. H. Juang, and J. G. Wilpon, “HMM clustering for connected word recognition system,” in Proc. ICASSP '89 (Glasgow, Scotland), May 1989, pp. 405-408.
26. J. G. Wilpon, C. H. Lee, and L. R. Rabiner, “Application of hidden Markov models for recognition of a limited set of vocabulary words in unconstrained speech,” in Proc. ICASSP '89 (Glasgow, Scotland), May 1989, pp. 254-257.