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Volumn , Issue , 2000, Pages

Large-vocabulary speech recognition under adverse acoustic environments

Author keywords

[No Author keywords available]

Indexed keywords

NOISE ABATEMENT; VOCABULARY CONTROL;

EID: 85009070292     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (184)

References (8)
  • 1
    • 0030362995 scopus 로고    scopus 로고
    • A compact model for speakeradaptive training
    • T. Anastasakos, et al. "A compact model for speakeradaptive training", Proc. ICSLP, 1996, pp. 1137-1140.
    • (1996) Proc. ICSLP , pp. 1137-1140
    • Anastasakos, T.1
  • 4
    • 0018455310 scopus 로고
    • Suppression of acoustic noise in speech using spectral subtraction
    • S. Boll. "Suppression of acoustic noise in speech using spectral subtraction", IEEE Trans. Acoustics, Speech, and Signal Processing, Vol. 27, 1979, pp. 114-120.
    • (1979) IEEE Trans. Acoustics, Speech, and Signal Processing , vol.27 , pp. 114-120
    • Boll, S.1
  • 7
    • 0031146514 scopus 로고    scopus 로고
    • HMM-based speech recognition using state-dependent, discriminatively derived transforms on Mel-warped DFT features
    • C. Rathinavalu and L. Deng. "HMM-based speech recognition using state-dependent, discriminatively derived transforms on Mel-warped DFT features", IEEE Trans. Speech and Audio Processing, 1997, pp. 243-256.
    • (1997) IEEE Trans. Speech and Audio Processing , pp. 243-256
    • Rathinavalu, C.1    Deng, L.2
  • 8
    • 0032166087 scopus 로고    scopus 로고
    • HMM-based strategies for enhancement of speech embedded in nonstationary noise
    • Sept.
    • H. Sameti, H. Sheikhzadeh, L. Deng, and R. Brennan. HMM-based strategies for enhancement of speech embedded in nonstationary noise, IEEE Trans. Speech and Audio Processing, Vol. 6, Sept. 1998, pp. 445-455.
    • (1998) IEEE Trans. Speech and Audio Processing , vol.6 , pp. 445-455
    • Sameti, H.1    Sheikhzadeh, H.2    Deng, L.3    Brennan, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.