Robust syllable segmentation of continuous speech using neural networks

Electro International, ELECTR 1991 - Conference Record

Volumn , Issue , 1991, Pages 580-585

  Noetzel, Andrew ^a  

^a POLYTECHNIC UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CELLS; CHEMICAL ACTIVATION; CONTINUOUS SPEECH RECOGNITION; CYTOLOGY; LINGUISTICS; MACHINE LEARNING;

CONNECTED SPEECH; CONTINUOUS SPEECH; ISOLATION AND IDENTIFICATION; LEARNING PROCEDURES; MULTISYLLABIC WORDS; NEURAL NETWORK STRUCTURES; SYLLABLE BOUNDARIES; SYLLABLE SEGMENTATION;

MULTILAYER NEURAL NETWORKS;

EID: 79961183621     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ELECTR.1991.718279     Document Type: Conference Paper

References (18)

1. A. Noetzel, "Syllable-based segmentation in a neural network Speech Recognition System", Proc. Aerospace Applications of Artificial Intelligence Conf., vol. 2, pp. 39-49, Dayton, Ohio, October 1989.
2. H. Bourland and C. J. Wellekens, "Multilayer perceptrons and automatic speech recognition", Proc. IEEE Int. Conf. on Neural Networks, vol. 4, pp. 407-415, 1987.
3. R. Lippmann, and B. Gold, "Neural-net classifier useful for speech recognition. " Proc. IEEE Int Conf. on Neural Networks, vol 4, pp. 417-425, 1987.
4. D. J. Burr, "Experiments on neural net recognition of spoken and written teict", IEEE Trans. ASSP, vol. 36, no. 7, pp. 1162-1168, July 1988.
5. M. A. Franzini, "Speech recognition with back propagation", Proc. 9th Ann. Conf. IEEE Eng. Med. Biology Society.
6. J. F. Trehern, M. A. Jack and J. Laver, "Speech processing with a Boltzmann machine", Proc. ICASSP 1986.
7. B. Gold, R. P. lippmann and M. L. Manpass, "Some neural net recognition results on isolated words", Proc. IEEE Int Conf. on Neural Networks, vol 4, pp. 427-434, 1987.
8. A. Waibel, T. Hanazawa, G. Hinton, K. Shikano, and K. Lang, "Phoneme recognition using time-delay neural networks", IEEE Trans. on Acoustics, Speech, and Signal Processing, Vol. 37, No. 3, March 1989.
9. T. Kohonen, "The neural phonetic typewriter", Computer, vol. 21, no. 3, pp. 11-22, March 1988.
10. H. Matsu'ura, T. Nitta, S. Hirai, Y. Takebayashi, H. Tsuboi and H. Kanazawa, "A large vocabulary word recognition system based on syllable recognition and nonliner word matching", ICASSP 88 International Conference in New York, 1988.
11. A. Tanaka and S. Kamiya, "A speech processing based on syllable identification by using phonological patterns", Proc. ICASSP 86, Tokyo Japan, pp. 2231-2234, 1986
12. T. Watanabe, "Syllable recognition for continuous Japanese speech recognition", Proc. ICASSP 86, Tokyo, Japan, pp. 2295-2298, 1986.
13. S. Nakagawa and M. M. Jilan, "Syllable-based connected spoken word recognition by two-pass O (n) DP matching and hidden Markov models", Proc. ICASSP 86, Tokyo, Japan, pp. 1117-1120, 1986.
14. S. Kabasawa, N. Hara, K. Hasegawa, Y. Uekawa and E. Tsuboka, "Top-down controlled and optimal syllabletemplate chaining algorithm for large vocabulary speech recognition", Proc. ICASSP 86, Tokyo, Japan, pp. 2303-2306, 1986.
15. A. E. Rosenberg, L. R. Rabiner, J. G. Wilpon, and D. Kahn, "Demisyllable-based isolated word recognition system", IEEE Trans, on Acoustics, Speech, and Signal Processing, Vol. 31, No. 3, June 1983.
16. P. Mermelstein, "Automatic segmentation of speech into syllabic units", J. Acoust. Soc. Am., Vol. 58, No. 4, October 1975.
17. O. Schmidbauer, "Syllable-based segment-hyotheses generation in fluently spoken speech using gross articulatory features", Proc. IEEE ASSP, pp. 391-394, 1987.
18. O. Fujimura, "Syllable as a unit of speech recognition", IEEE Trans. on Acoustics, Speech, and Signal Processing, Vol. 23, February 1975.