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Volumn , Issue , 2004, Pages 81-84

Feature-based pronunciation modeling for speech recognition

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; LINGUISTICS; SPEECH RECOGNITION;

EID: 14944341906     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (23)

References (15)
  • 1
    • 0036293559 scopus 로고    scopus 로고
    • The Graphical Models Toolkit: An open source software system for speech and time-series processing
    • Orlando
    • J. Bilmes and G. Zweig, “The Graphical Models Toolkit: An open source software system for speech and time-series processing,” ICASSP, Orlando, 2002.
    • (2002) ICASSP
    • Bilmes, J.1    Zweig, G.2
  • 2
    • 0027024362 scopus 로고
    • Articulatory phonology: An overview
    • C. P. Browman and L. Goldstein, “Articulatory phonology: An overview,” Phonetica, 49:155–180, 1992.
    • (1992) Phonetica , vol.49 , pp. 155-180
    • Browman, C. P.1    Goldstein, L.2
  • 3
    • 84990553353 scopus 로고
    • A model for reasoning about persistence and causation
    • T. Dean and K. Kanazawa, “A model for reasoning about persistence and causation,” Computational Intelligence, 5:142–150, 1989.
    • (1989) Computational Intelligence , vol.5 , pp. 142-150
    • Dean, T.1    Kanazawa, K.2
  • 5
    • 0031198059 scopus 로고    scopus 로고
    • Production models as a structural basis for automatic speech recognition
    • L. Deng, G. Ramsay, and D. Sun, “Production models as a structural basis for automatic speech recognition,” Speech Communication, 33:93–111, 1997.
    • (1997) Speech Communication , vol.33 , pp. 93-111
    • Deng, L.1    Ramsay, G.2    Sun, D.3
  • 6
    • 0002076795 scopus 로고    scopus 로고
    • Insights into spoken language gleaned from phonetic transcription of the Switchboard corpus
    • Philadelphia
    • S. Greenberg, J. Hollenback, and D. Ellis, “Insights into spoken language gleaned from phonetic transcription of the Switchboard corpus,” ICSLP, Philadelphia, 1996.
    • (1996) ICSLP
    • Greenberg, S.1    Hollenback, J.2    Ellis, D.3
  • 7
    • 70349224709 scopus 로고    scopus 로고
    • Pronunciation modeling using a finite-state transducer representation
    • Estes Park, CO
    • T. J. Hazen, I. L. Hetherington, H. Shu, and K. Livescu, “Pronunciation modeling using a finite-state transducer representation,” ITRW PMLA, Estes Park, CO, 2002.
    • (2002) ITRW PMLA
    • Hazen, T. J.1    Hetherington, I. L.2    Shu, H.3    Livescu, K.4
  • 9
    • 0030355367 scopus 로고    scopus 로고
    • Syllable-level desynchronisation of phonetic features for speech recognition
    • Philadelphia
    • K. Kirchhoff, “Syllable-level desynchronisation of phonetic features for speech recognition,” ICSLP, Philadelphia, 1996.
    • (1996) ICSLP
    • Kirchhoff, K.1
  • 10
    • 85009061975 scopus 로고    scopus 로고
    • Hidden feature models for speech recognition using dynamic Bayesian networks
    • Geneva
    • K. Livescu, J. Glass, and J. Bilmes, “Hidden feature models for speech recognition using dynamic Bayesian networks,” Eurospeech, Geneva, 2003.
    • (2003) Eurospeech
    • Livescu, K.1    Glass, J.2    Bilmes, J.3
  • 11
    • 84943154470 scopus 로고    scopus 로고
    • Fabricating conversational speech data with acoustic models: A program to examine model-data mismatch
    • Sydney
    • D. McAllester, L. Gillick, F. Scattone, and M. Newman, “Fabricating conversational speech data with acoustic models: A program to examine model-data mismatch,” ICSLP, Sydney, 1998.
    • (1998) ICSLP
    • McAllester, D.1    Gillick, L.2    Scattone, F.3    Newman, M.4
  • 12
    • 85009240321 scopus 로고    scopus 로고
    • A flexible stream architecture for ASR using articulatory features
    • Denver
    • F. Metze and A. Waibel, “A flexible stream architecture for ASR using articulatory features,” ICSLP, Denver, 2002.
    • (2002) ICSLP
    • Metze, F.1    Waibel, A.2
  • 13
    • 0347307067 scopus 로고    scopus 로고
    • Incorporating linguistic theories of pronunciation variation into speech-recognition models
    • M. Ostendorf, “Incorporating linguistic theories of pronunciation variation into speech-recognition models,” Phil. Trans. R. Soc. Lond. A, 358:1325-1338, 2000.
    • (2000) Phil. Trans. R. Soc. Lond. A , vol.358 , pp. 1325-1338
    • Ostendorf, M.1
  • 14
    • 33846678657 scopus 로고    scopus 로고
    • Hidden-articulator Markov models for speech recognition
    • Paris
    • M. Richardson, J. Bilmes, and C. Diorio, “Hidden-articulator Markov models for speech recognition,” ITRW ASR2000, Paris, 2000.
    • (2000) ITRW ASR2000
    • Richardson, M.1    Bilmes, J.2    Diorio, C.3
  • 15
    • 0003921935 scopus 로고    scopus 로고
    • Automatic generation of detailed pronunciation lexicons
    • C.-H. Lee, F. K. Soong, and K. K. Paliwal (eds), Kluwer Academic Publishers, Boston
    • M. D. Riley and A. Ljolje, “Automatic generation of detailed pronunciation lexicons,” in C.-H. Lee, F. K. Soong, and K. K. Paliwal (eds.), Automatic Speech and Speaker Recognition, Kluwer Academic Publishers, Boston, 1996.
    • (1996) Automatic Speech and Speaker Recognition
    • Riley, M. D.1    Ljolje, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.