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Volumn , Issue , 2012, Pages 4693-4696

Combining missing-data reconstruction and uncertainty decoding for robust speech recognition

Author keywords

Missing data imputation; MMSE estimation; speech recognition; uncertainty decoding

Indexed keywords

CEPSTRAL FEATURES; FEATURE VECTORS; GAUSSIANS; IMPUTATION TECHNIQUES; MISSING DATA; MMSE ESTIMATION; NOISE ROBUST SPEECH RECOGNITION; PROCESSING TECHNIQUE; ROBUST SPEECH RECOGNITION; SPECTRAL RECONSTRUCTION; UNCERTAINTY SOURCES;

EID: 84867612282     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2012.6288966     Document Type: Conference Paper
Times cited : (9)

References (14)
  • 1
    • 0035342414 scopus 로고    scopus 로고
    • Robust automatic speech recognition with missing and unreliable data
    • June
    • M. Cooke, P. Green, L. Josifovski, and A. Vizinho, "Robust automatic speech recognition with missing and unreliable data", Speech Comm., vol. 34, no. 3, pp. 267-285, June 2001.
    • (2001) Speech Comm. , vol.34 , Issue.3 , pp. 267-285
    • Cooke, M.1    Green, P.2    Josifovski, L.3    Vizinho, A.4
  • 2
    • 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 Comm., vol. 48, no. 4, pp. 275-296, 2004.
    • (2004) Speech Comm. , vol.48 , Issue.4 , pp. 275-296
    • Raj, B.1    Seltzer, M.L.2    Stern, R.M.3
  • 3
    • 70349226857 scopus 로고    scopus 로고
    • Bounded conditional mean imputation with Gaussian mixture models: A reconstruction approach to partly occluded features
    • F. Faubel, J. McDonough, and D. Klakow, "Bounded conditional mean imputation with Gaussian mixture models: A reconstruction approach to partly occluded features", Proc. ICASSP, pp. 3869-3872, 2009.
    • (2009) Proc. ICASSP , pp. 3869-3872
    • Faubel, F.1    McDonough, J.2    Klakow, D.3
  • 5
    • 85008009592 scopus 로고    scopus 로고
    • Efficient MMSE estimation and uncertainty processing for multienvironment robust speech recognition
    • July
    • J. A. Gónzalez, A. M. Peinado, A. M. Gómez, and J. L. Carmona, "Efficient MMSE estimation and uncertainty processing for multienvironment robust speech recognition", IEEE Trans. Audio Speech Lang. Process., vol. 19, no. 5, pp. 1206-1220, July 2011.
    • (2011) IEEE Trans. Audio Speech Lang. Process. , vol.19 , Issue.5 , pp. 1206-1220
    • Gónzalez, J.A.1    Peinado, A.M.2    Gómez, A.M.3    Carmona, J.L.4
  • 6
    • 84892174007 scopus 로고    scopus 로고
    • Weighted Viterbi algorithm and state duration modelling for speech recognition in noise
    • N. B. Yoma, F. R. McInnes, and M. A. Jack, "Weighted Viterbi algorithm and state duration modelling for speech recognition in noise ", Proc. ICASSP, pp. 709-712, 1998.
    • (1998) Proc. ICASSP , pp. 709-712
    • Yoma, N.B.1    McInnes, F.R.2    Jack, M.A.3
  • 7
    • 18744401086 scopus 로고    scopus 로고
    • Dynamic compensation of HMM variances using the feature enhancement uncertainty computed from a parametric model of speech distortion
    • May
    • L. Deng, J. Droppo, and A. Acero, "Dynamic compensation of HMM variances using the feature enhancement uncertainty computed from a parametric model of speech distortion", IEEE Trans. Speech Audio Process., vol. 13, no. 3, pp. 412-421, May 2005.
    • (2005) IEEE Trans. Speech Audio Process. , vol.13 , Issue.3 , pp. 412-421
    • Deng, L.1    Droppo, J.2    Acero, A.3
  • 8
    • 40249103761 scopus 로고    scopus 로고
    • Issues with uncertainty decoding for noise robust automatic speech recognition
    • H. Liao and M. J. F. Gales, "Issues with uncertainty decoding for noise robust automatic speech recognition", Speech Comm., vol. 50, no. 4, pp. 265-277, 2008.
    • (2008) Speech Comm. , vol.50 , Issue.4 , pp. 265-277
    • Liao, H.1    Gales, M.J.F.2
  • 9
    • 56249136428 scopus 로고    scopus 로고
    • Transforming binary uncertainties for robust speech recognition
    • Sep.
    • S. Srinivasan and D. Wang, "Transforming binary uncertainties for robust speech recognition", IEEE Trans. Audio Speech Lang. Process., vol. 15, no. 7, pp. 2130-2140, Sep. 2007.
    • (2007) IEEE Trans. Audio Speech Lang. Process. , vol.15 , Issue.7 , pp. 2130-2140
    • Srinivasan, S.1    Wang, D.2
  • 10
    • 79959814198 scopus 로고    scopus 로고
    • Observation uncertainty measures for sparse imputation
    • J. F. Gemmeke, U. Remes, and K. J. Palomäki, "Observation uncertainty measures for sparse imputation", Proc. Interspeech, pp. 2262-2265, 2010.
    • (2010) Proc. Interspeech , pp. 2262-2265
    • Gemmeke, J.F.1    Remes, U.2    Palomäki, K.J.3
  • 12
    • 0038669544 scopus 로고    scopus 로고
    • The Aurora experimental framework for the performance evaluations of the speech recognition systems under noisy conditions
    • H. G. Hirsch and D. Pearce, "The Aurora experimental framework for the performance evaluations of the speech recognition systems under noisy conditions", in ISCA ITRW ASR2000, Paris, France, 2000.
    • ISCA ITRW ASR2000, Paris, France, 2000
    • Hirsch, H.G.1    Pearce, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.