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Volumn , Issue , 2001, Pages

Minimum bayes error feature selection for continuous speech recognition

Author keywords

[No Author keywords available]

Indexed keywords

BAYES ERROR; CEPSTRAL FEATURES; LARGE VOCABULARY; PROBABILITY OF MISCLASSIFICATION; TELEPHONY SPEECH RECOGNITION; WORD ERROR RATE;

EID: 84899016174     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (26)

References (9)
  • 4
    • 85017287487 scopus 로고
    • Linear discriminant analysis for improved large vocabulary continuous speech recognition
    • R. Haeb-Umbach and H. Ney. Linear Discriminant Analysis for improved large vocabulary continuous speech recognition. Proceedings of ICASSP'92, Volume 1, pages 13-16, 1992.
    • (1992) Proceedings of ICASSP'92 , vol.1 , pp. 13-16
    • Haeb-Umbach, R.1    Ney, H.2
  • 6
    • 0032289099 scopus 로고    scopus 로고
    • Heteroscedastic discriminant analysis and reduced rank HMMs for improved speech recognition
    • N. Kumar and A. G. Andreou. Heteroscedastic discriminant analysis and reduced rank HMMs for improved speech recognition. Speech Communcation, 26:283-297, 1998.
    • (1998) Speech Communcation , vol.26 , pp. 283-297
    • Kumar, N.1    Andreou, A.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.