HMM-based feature compensation method: An evaluation using the AURORA2

8th International Conference on Spoken Language Processing, ICSLP 2004

Volumn , Issue , 2004, Pages 121-124

  Sasou, Akira ^a   Asano, Futoshi ^a   Tanaka, Kazuyo ^a,b   Nakamura, Satoshi ^c  

^a NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

^b UNIVERSITY OF TSUKUBA   (Japan)

^c ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

MARKOV PROCESSES; PROBABILITY DENSITY FUNCTION; SPEECH RECOGNITION;

CEPSTRAL MEAN SUBTRACTION; FEATURE COMPENSATION; HMM-BASED; NOISE ENVIRONMENTS; PATH PROBABILITY; PROBABILITY DENSITY FUNCTION (PDF); TRANSIENT PULSE; WORD ACCURACIES;

HIDDEN MARKOV MODELS;

EID: 38749150838     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. S.F. Boll, "Suppression of acoustic noise in speech using spectral subtraction," IEEE Trans. on ASSP-33, Vol. 27, pp.113-120, 1979.
2. B.S. Atal, "Effectiveness of linear prediction characteristics of the speech wave for automatic speaker identification and verification," J. Acoust. Soc. Am. Vol. 55, pp.1304-1312, 1974.
3. J.C. Segura, A.de la Torre, M.C. Benitez, A.M. Peinado, "Model-based compensation of the additive noise for continuous speech recognition. Experiments using the AURORA II database and tasks," Proc. of Eurospeech2001, Vol.I, pp.221-224, 2001.
4. D. Pearce, "Aurora project: Experimental framework for the performance evaluation of distributed speech recognition front-ends," in ISCA ITRW ASR2000, Sep.2000.
5. http://tosa.mri.co.jp/sounddb/