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Volumn 3, Issue , 2006, Pages 1121-1124

Issues with uncertainty decoding for noise robust speech recognition

Author keywords

Model based noise compensation; Robust speech recognition; Uncertainty decoding

Indexed keywords

DECODING; DEEP NEURAL NETWORKS; SIGNAL TO NOISE RATIO;

EID: 44949140801     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (15)

References (7)
  • 1
    • 0036293930 scopus 로고    scopus 로고
    • Accounting for uncertainty in observations: A new paradigm for robust speech recognition
    • Orlando, Florida, May
    • T. T. Kristjansson and B. J. Frey, "Accounting for uncertainty in observations: A new paradigm for robust speech recognition," in Proc. ICASSP, Orlando, Florida, May 2002.
    • (2002) Proc. ICASSP
    • Kristjansson, T.T.1    Frey, B.J.2
  • 2
    • 0036291376 scopus 로고    scopus 로고
    • Uncertainty decoding with SPLICE for noise robust speech recognition
    • Orlando, Florida, May
    • J. Droppo, A. Acero, and L. Deng, "Uncertainty decoding with SPLICE for noise robust speech recognition," in Proc. ICASSP, Orlando, Florida, May 2002.
    • (2002) Proc. ICASSP
    • Droppo, J.1    Acero, A.2    Deng, L.3
  • 3
    • 33947630738 scopus 로고    scopus 로고
    • Joint uncertainty decoding for noise robust speech recognition
    • H. Liao and M. J. F. Gales, "Joint uncertainty decoding for noise robust speech recognition," in Proc. Interspeech, 2005.
    • (2005) Proc. Interspeech
    • Liao, H.1    Gales, M.J.F.2
  • 4
    • 85009275141 scopus 로고    scopus 로고
    • Exploiting variances in robust feature extraction based on a parametric model of speech distortion
    • L. Deng, J. Droppo, and A. Acero, "Exploiting variances in robust feature extraction based on a parametric model of speech distortion," in Proc. ICSLP, 2002.
    • (2002) Proc. ICSLP
    • Deng, L.1    Droppo, J.2    Acero, A.3
  • 5
    • 0038669544 scopus 로고    scopus 로고
    • The AURORA experimental framework for the evaluation of speech recognition systems under noisy conditions
    • H.-G. Hirsch and D. Pearce, "The AURORA experimental framework for the evaluation of speech recognition systems under noisy conditions," in Proc. ASR-2000, 2000.
    • (2000) Proc. ASR-2000
    • Hirsch, H.-G.1    Pearce, D.2
  • 6
    • 0032050110 scopus 로고    scopus 로고
    • Maximum Likelihood Linear Transformations For HMM-Based Speech Recognition
    • Jan
    • M. J. F. Gales, "Maximum Likelihood Linear Transformations For HMM-Based Speech Recognition," Computer Speech and Language, vol. 12, Jan. 1998.
    • (1998) Computer Speech and Language , vol.12
    • Gales, M.J.F.1
  • 7
    • 85022102718 scopus 로고    scopus 로고
    • H. Liao and M. J. F. Gales, Joint uncertainty decoding for robust large vocabulary recognition, Tech. Rep. CUED/F-INFENG/TR552, University of Cambridge, 2006, Available from: mi.eng.cam.ac.uk/~hl251.
    • H. Liao and M. J. F. Gales, "Joint uncertainty decoding for robust large vocabulary recognition," Tech. Rep. CUED/F-INFENG/TR552, University of Cambridge, 2006, Available from: mi.eng.cam.ac.uk/~hl251.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.