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Volumn , Issue , 2008, Pages 1769-1772

HMM-based estimation of unreliable spectral components for noise robust speech recognition

Author keywords

Automatic speech recognition; Hidden Markov models; Noise robustness

Indexed keywords

AUTOMATIC SPEECH RECOGNITION; CHANNEL INFORMATION; DOWNSAMPLING; ESTIMATION PROCESS; FEATURE INFORMATION; FORWARD BACKWARD ALGORITHMS; NOISE ROBUST SPEECH RECOGNITION; NOISE ROBUSTNESS; NOISY OBSERVATIONS; SPECTRAL COMPONENTS; SPECTROGRAPHIC DATA; STATISTICAL MODELS;

EID: 84867196386     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (11)
  • 1
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    • http://www.odettes.dds.nl/challengeIS08/index.html
  • 2
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    • An Efficient Approximation of the Forward-Backward Algorithm to Deal with Packet Loss, with Applications to Remote Speech Recognition
    • to appear
    • B. J. Borgström and A. Alwan, An Efficient Approximation of the Forward-Backward Algorithm to Deal With Packet Loss, With Applications to Remote Speech Recognition, Proc. of ICASSP, to appear, 2008.
    • (2008) Proc. of ICASSP
    • Borgström, B.J.1    Alwan, A.2
  • 3
    • 0035342414 scopus 로고    scopus 로고
    • Robust Automatic Speech Recognition with Missing and Unreliable Acoustic Data
    • M. Cooke, P. Green, L. Josifovski, and A. Vizinho, Robust Automatic Speech Recognition with Missing and Unreliable Acoustic Data, Speech Communication, Vol. 34, pp. 267-285, 2001.
    • (2001) Speech Communication , vol.34 , pp. 267-285
    • Cooke, M.1    Green, P.2    Josifovski, L.3    Vizinho, A.4
  • 4
    • 4644336054 scopus 로고    scopus 로고
    • Reconstruction of Missing Features for Robust Speech Recognition
    • B. Raj, M. L. Seltzer, and R. M. Stern, Reconstruction of Missing Features for Robust Speech Recognition, Speech Communication, vol. 43, pp. 275-296, 2004.
    • (2004) Speech Communication , vol.43 , pp. 275-296
    • Raj, B.1    Seltzer, M.L.2    Stern, R.M.3
  • 5
    • 0242721421 scopus 로고    scopus 로고
    • HMM-Based Channel Error Mitigation and its Application to Distributed Speech Recognition
    • Nov.
    • A. Peinado, V. Sanchez, J. Perez-Cordoba, and A. de la Torre, HMM-Based Channel Error Mitigation and its Application to Distributed Speech Recognition, Speech Communication, vol. 41, pp. 549-561, Nov. 2003.
    • (2003) Speech Communication , vol.41 , pp. 549-561
    • Peinado, A.1    Sanchez, V.2    Perez-Cordoba, J.3    De La Torre, A.4
  • 7
    • 0024610919 scopus 로고
    • A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition
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    • Rabiner, L.R.1
  • 9
    • 69249139982 scopus 로고    scopus 로고
    • Conditionally Linear Guassian Models for Estimating Vocal Tract Resonances
    • D. Rudoy, D. Spendley, and P. Wolfe, Conditionally Linear Guassian Models for Estimating Vocal Tract Resonances, Proc. Interspeech, pp. 526-529, 2007.
    • (2007) Proc. Interspeech , pp. 526-529
    • Rudoy, D.1    Spendley, D.2    Wolfe, P.3
  • 10
    • 0142009990 scopus 로고    scopus 로고
    • Non-linear Feature Extraction for Robust Recognition in Stationary and Non-stationary Noise
    • Q. Zhu amd A. Alwan, Non-linear Feature Extraction for Robust Recognition in Stationary and Non-stationary Noise, Computer Speech, and Language, 17(4), pp. 381-402, 2003.
    • (2003) Computer Speech, and Language , vol.17 , Issue.4 , pp. 381-402
    • Zhu, Q.1    Alwan, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.