STUDY ON TONE CLASSIFICATION OF CHINESE CONTINUOUS SPEECH IN SPEECH RECOGNITION SYSTEM

6th European Conference on Speech Communication and Technology, EUROSPEECH 1999

Volumn , Issue , 1999, Pages 891-894

  Liu, Jian ^a   He, Xiaodong ^a   Mo, Fuyuan ^a   Yu, Tiecheng ^a  

^a INSTITUTE OF ACOUSTICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

SPEECH COMMUNICATION; SPEECH RECOGNITION;

CLASSIFICATION ACCURACY; CONTINUOUS SPEECH; GAUSSIAN MIXTURE MODEL; HMM-BASED; PROBABILISTIC METHODS; SPEECH DATABASE; SPEECH RECOGNITION SYSTEMS;

CLASSIFICATION (OF INFORMATION);

EID: 1842618935     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Xi-Xian Chen, Chang-Nian Cai, Peng Guo and Ying Sun, "A Hidden Markov Model Applied to Chinese Four-Tone Recognition", ICASSP 1987, pp. 797-800.
2. Wu-Ji Yang, Jyh-Chyang Lee, Yuen-Chin Chang and Hsiao-Chuan Wang, "Hidden Markov Model for Mandarin Lexical Tone Recognition", IEEE Trans. on ASSP, Vol. 36, No.7, July 1988, pp. 988-992.
3. Zhiwei Lin, DongXin and Taiyi Huang, "A Neural Net approach for Chinese four tone recognition", International Conference on Computer Processing of Chinese and Oriental Languages, April 1990, Changsha, China.
4. Pao-Chung Chang, San-Wei Sun and Sin-Horng Chen, "Mandarin Tone Recognition by Multi-Layer Perceptron", ICASSP-90, pp. 517-520.
5. Shilin Xu and Samuel C. Lee, "A fast real time Chinese tone recognition system using Fuzzy Sets", An International Journal of the Chinese & Oriental Languages Information Processing Society, Vol. 2, No. 1, April 1992.
6. A.R. Douglas, R.C. Richard, “Robust text-independent speaker identification using Gaussian mixture speaker models”, IEEE Trans. on ASSP, Vol. 3, No.1, pp.72-83, Jan. 1995.
7. M.A. Zissman, “Automatic language identification using Gaussian mixture and hidden Markov models”, Proc. ICASSP'93, Vol. 2, pp.399-402, Apr. 1993.
8. G. McLachlan, “Mixture Models”, New York: Marcel Dekker, 1988.
9. A. Dempster, et al., “Maximum likelihood from incomplete data via the EM algorithm”, J.Royal Stat. Soc., Vol. 39, pp.1-38, 1977.
10. R. Hathaway, “A constrained formulation of maximum-likelihood estimation for normal mixture distributions”, Ann. Stat., Vol. 13, No. 2, pp.795-800, 1985.
11. Yoseph Linde, Andres Buzo, Robert M. Gray, “An algorithm for vector quantizer design”, IEEE Trans on Communications, Vol. COM-28, No.1, January, 1980.
12. Liu Jian, Yu Tiecheng, “A Novel Pitch Extraction Method and Its Application to Automatic Classification of Chinese Tones” In Proceedings of the Sixth Western Pacific Regional Acoustics Conference (WESTPRAC VI 97), Nov. 19, 1997, HONG KONG, Vol. I, pp. 259-264.
13. Wang, William S.Y.,. Li, K.P., “Tone 3 in Pekinese”, Journal of speech and hearing research, Vol. 10, pp. 629-636, 1967.