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Volumn 6, Issue 6, 1998, Pages 579-582

Improving performance of spectral subtraction in speech recognition using a model for additive noise

Author keywords

Additive noise; Cepstral mean normalization; Convolutional noise; Spectral subtraction; Speech recognition; Weighted matching algorithms

Indexed keywords

ALGORITHMS; CONVOLUTION; MARKOV PROCESSES; MATHEMATICAL MODELS; SIGNAL TO NOISE RATIO; SPURIOUS SIGNAL NOISE;

EID: 0032205798     PISSN: 10636676     EISSN: None     Source Type: Journal    
DOI: 10.1109/89.725325     Document Type: Article
Times cited : (24)

References (6)
  • 1
    • 0030672083 scopus 로고    scopus 로고
    • Weighted matching algorithms and reliability in noise cancelling by spectral subtraction
    • N. B. Yoma, F. R. Mclnnes, and M. A. Jack,"Weighted matching algorithms and reliability in noise cancelling by spectral subtraction," in Proc. ICASSP, 1997, pp. 1171-1174.
    • Proc. ICASSP, 1997 , pp. 1171-1174
    • Yoma, N.B.1    Mclnnes, F.R.2    Jack, M.A.3
  • 2
    • 0005965633 scopus 로고    scopus 로고
    • Degraded word recognition based on segmental signal-to-noise ratio weighting
    • H. Kobatake and Y. Matsunoo,"Degraded word recognition based on segmental signal-to-noise ratio weighting," in Proc. ICASSP, 1994, vol. I, pp. 425-428.
    • Proc. ICASSP, 1994 , vol.1 , pp. 425-428
    • Kobatake, H.1    Matsunoo, Y.2
  • 4
    • 0006923547 scopus 로고
    • Noise adaptation in a hidden Markov model speech recognition system,"
    • D. Van Compernolle,"Noise adaptation in a hidden Markov model speech recognition system," Comput. Speech Lang., vol. 3, pp. 151-167, 1989.
    • (1989) Comput. Speech Lang. , vol.3 , pp. 151-167
    • Van Compernolle, D.1
  • 6
    • 0029726005 scopus 로고    scopus 로고
    • SNR-normalization for robust speech recognition
    • T. Claes and D. Van Compernolle,"SNR-normalization for robust speech recognition," in Proc. ICASSP, 1996, pp. 331-334.
    • Proc. ICASSP, 1996 , pp. 331-334
    • Claes, T.1    Van Compernolle, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.