메뉴 건너뛰기




Volumn , Issue , 2008, Pages 1777-1780

On the mask modeling and feature representation in the missing-feature ASR: Evaluation on the consonant challenge

Author keywords

Automatic speech recognition; Consonant identification; Frequency filtering; Mask modeling; Mask probability; Missing feature theory; Noise robustness; VCV

Indexed keywords

AUTOMATIC SPEECH RECOGNITION; CONSONANT IDENTIFICATION; FREQUENCY-FILTERING; MASK MODELING; MISSING-FEATURE THEORY; NOISE-ROBUSTNESS; VCV;

EID: 79958841880     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (17)
  • 1
    • 16344396527 scopus 로고    scopus 로고
    • Using missing feature theory to actively select features for robust speech recognition with interruptions, filtering and noise
    • R. Lippmann and B. Carlson, "Using missing feature theory to actively select features for robust speech recognition with interruptions, filtering and noise," Eurospeech, Rhodes, Greece, pp. 37-40, 1997.
    • (1997) Eurospeech, Rhodes, Greece , pp. 37-40
    • Lippmann, R.1    Carlson, B.2
  • 2
    • 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, no. 3, pp. 267-285, 2001.
    • (2001) Speech Communication , vol.34 , Issue.3 , pp. 267-285
    • Cooke, M.1    Green, P.2    Josifovski, L.3    Vizinho, A.4
  • 3
    • 0033709389 scopus 로고    scopus 로고
    • Statistical estimation of unreliable features for robust speech recognition
    • P. Renevey and A. Drygajlo, "Statistical estimation of unreliable features for robust speech recognition," ICASSP, Istanbul, Turkey, pp. 1731-1734, 2000.
    • (2000) ICASSP, Istanbul, Turkey , pp. 1731-1734
    • Renevey, P.1    Drygajlo, A.2
  • 4
    • 2942624890 scopus 로고    scopus 로고
    • Linking auditory scene analysis and robust asr by missing data techniques
    • J. Barker, P. Green, and M. Cooke, "Linking auditory scene analysis and robust asr by missing data techniques," WISP, 2001.
    • (2001) WISP
    • Barker, J.1    Green, P.2    Cooke, M.3
  • 6
    • 4644317224 scopus 로고    scopus 로고
    • A bayesian classifier for spectrographic mask estimation for missing feature speech recognition
    • M. Seltzer, B. Raj, and R. Stern, "A bayesian classifier for spectrographic mask estimation for missing feature speech recognition," Speech Communication, vol. 43, pp. 379-393, 2004.
    • (2004) Speech Communication , vol.43 , pp. 379-393
    • Seltzer, M.1    Raj, B.2    Stern, R.3
  • 8
    • 78649293367 scopus 로고    scopus 로고
    • Robust automatic speech recognition with missing and unreliable acoustic data
    • H. V. hamme, "Robust automatic speech recognition with missing and unreliable acoustic data," ICASSP, Montreal, Canada, vol. 34, no. 3, pp. 213-216, 2004.
    • (2004) ICASSP, Montreal, Canada , vol.34 , Issue.3 , pp. 213-216
    • Hamme, H.V.1
  • 9
    • 85135144525 scopus 로고
    • On the decorrelation of filter-bank energies in speech recognition
    • C. Nadeu, J. Hernando, and M. Gorricho, "On the decorrelation of filter-bank energies in speech recognition," Eurospeech, Madrid, Spain, pp. 1381-1384, 1995.
    • (1995) Eurospeech, Madrid, Spain , pp. 1381-1384
    • Nadeu, C.1    Hernando, J.2    Gorricho, M.3
  • 10
    • 85009193879 scopus 로고    scopus 로고
    • A multi-band approach based on the probabilistic union model and frequency-filtering features for robust speech recognition
    • P. Jančovič and J. Ming, "A multi-band approach based on the probabilistic union model and frequency-filtering features for robust speech recognition," Eurospeech, Aalborg, Denmark, pp. 1111-1114, 2001.
    • (2001) Eurospeech, Aalborg, Denmark , pp. 1111-1114
    • Jančovič, P.1    Ming, J.2
  • 12
    • 84892151303 scopus 로고    scopus 로고
    • Some solutions to the missing feature problem in data classification, with application to noise robust asr
    • A. Morris, M. Cooke, and P. Green, "Some solutions to the missing feature problem in data classification, with application to noise robust asr," ICASSP, Seattle, WA, pp. 737-740, 1998.
    • (1998) ICASSP, Seattle, WA , pp. 737-740
    • Morris, A.1    Cooke, M.2    Green, P.3
  • 13
    • 0034817674 scopus 로고    scopus 로고
    • Time and frequency filtering of filter-bank energies for robust hmm speech recognition
    • C. Nadeu, D. Macho, and J. Hernando, "Time and frequency filtering of filter-bank energies for robust hmm speech recognition," Speech Communication, vol. 34, pp. 93-114, 2001.
    • (2001) Speech Communication , vol.34 , pp. 93-114
    • Nadeu, C.1    Macho, D.2    Hernando, J.3
  • 14
    • 11144222882 scopus 로고    scopus 로고
    • Comparison and combination of features in a hybrid HMM/MLP and a HMM/GMM speech recognition system
    • P. Pujol, S. Pol, C. Nadeu, A. Hagen, and H. Bourlard, "Comparison and combination of features in a hybrid HMM/MLP and a HMM/GMM speech recognition system," IEEE Trans. on Speech and Audio Proc., pp. 14-22, 2005.
    • (2005) IEEE Trans. on Speech and Audio Proc. , pp. 14-22
    • Pujol, P.1    Pol, S.2    Nadeu, C.3    Hagen, A.4    Bourlard, H.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.