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J-GLOBAL ID：200902131091112506   Reference number：95A0634900

Adaptation method using maximum likelihood procedure based on HMM composition.

HMM合成に基づく尤度最大化適応法

Author (2)： MINAMI YASUHIRO (NTT ヒューマンインタフェース研) ,  FURUI SADAOKI (NTT ヒューマンインタフェース研)
Material： 電子情報通信学会技術研究報告  (IEICE Technical Report (Institute of Electronics, Information and Communication Engineers))
Volume： 95  Issue： 122(SP95 18-24)  Page： 45-50  Publication year： Jun. 22, 1995 
JST Material Number： S0532B  ISSN： 0913-5685  Document type： Proceedings
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： speech recognition ,...

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JST classification (1)： Pattern recognition  (JE07000S)

Reference (9)：

• BOLL, S. F. Suppression of acoustic noise in speech using spectral subtraction. IEEE Trans. on Acoust. Speech Signal Processing. 1979, ASSP-27, 11-120
• ATAL, B. Effectiveness of linear prediction characteristics of the speech wave for automatic speaker identification and verification. Journal of the Acoustic Society of America. 1974, 55, 1304-1312
• VARGA, A. P. Hidden Markov model decomposition of speech and noise. Proc. Internat. Conf. Acoust. Speech Signal Process., 1990. 1990, 845-848
• GALES, M. J. F. An improved approach to the hidden Markov model decomposition of speech and noise. Proc. Internat. Conf. Acoust. Speech Signal Process., March 1992. 1992, 233-236
• MARTIN, F. Recognition of noisy speech by composition of hidden Markov models. Proc. Eurospeech, September 1993. 1993, 1031-1034

Terms in the title (3)： HMM ,  尤度最大化 ,  適応