A NON-ITERATIVE MODEL-ADAPTIVE E-CMN/PMC APPROACH FOR SPEECH RECOGNITION IN CAR ENVIRONMENTS

5th European Conference on Speech Communication and Technology, EUROSPEECH 1997

Volumn , Issue , 1997, Pages 287-290

  Shozakai, M ^a   Nakamura, S ^a   Shikano, K ^a  

^a NARA INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ADDITIVES; ITERATIVE METHODS; SPEECH COMMUNICATION; SPEECH RECOGNITION;

CEPSTRUM; ITERATIVE MODEL; MEAN VECTOR; NOISE MODELS; NON SPEECH; NON-ITERATIVE; NORMALISATION; PERFORMANCE; REAL ENVIRONMENTS; SPEECH MODELS;

ADDITIVE NOISE;

EID: 33745218415     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. A. Acero, "Acoustical and Environmental Robustness in Automatic Speech Recognition", Kluwer Academic Publishers, 1992.
2. S. Furui, "Cepstral Analysis Technique for Automatic Speaker Verification", IEEE Trans. ASSP-29, pp.254-272.
3. X. Huang, A. Acero, A. Alleva, M. Y. Hwang, L. Jiang and M. Mahajan, "Microsoft Windows Highly Intelligent SpeechRecognizer.Wisper", Proc. ICASSP, Detroit, 1995.
4. A. Sanker and C. H. Lee, "Robust Speech Recognition Based on Stochastic Matching", Proc. ICASSP, Detroit, 1995.
5. N. Aoshima, "Computer-generated pulse signal applied for sound measurement', J. Acoustic. Soc. Am. 69, 1484-1488, 1981.
6. Recommendation GSM 06.32.
7. F. Martin, K. Shikano and Y. Minami, "Recognition of Noisy Speech by Composition of Hidden Markov Models", Proc. Eurospeech, pp. 1031-1034, 1993.
8. M. Gales and S. Young, "Cepstrum Parameter Compensation for HMM Recognition"', Speech Communication, vol.12, no.3, pp.231-239, 1993.
9. Y. Minami and S. Furui, "A Maximum Likelihood Procedure for a Universal Adaptation Method Based on HMM Composition", Proc. ICASSP, pp. 129-132, 1995.
10. Y. Minami and S. Furui, "Adaptation Method Based on HMM Composition and EM Algorithm", Proc. ICASSP, pp.327-330, 1996.