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Volumn 1, Issue , 2004, Pages

Parsing speech into articulatory events

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC REPRESENTATION; SPEECH FRAMES; SPEECH PARSING; VITERBI DECODERS;

EID: 4544339430     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (16)

References (21)
  • 2
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    • Moving beyond the 'beads-on-a-string' model of speech
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    • M. Ostendorf, "Moving beyond the 'beads-on-a-string' model of speech," Proc. of IEEE ASRU Workshop, pp. 79-84, Keystone, Colorado, 1999.
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    • Ostendorf, M.1
  • 3
    • 33744966595 scopus 로고    scopus 로고
    • Switching dynamic system models for speech articulation and acoustics
    • M. Johnson, M. Ostendorf, S. Khudanpur, and R. Rosenfeld (eds.)
    • Li Deng, "Switching dynamic system models for speech articulation and acoustics," M. Johnson, M. Ostendorf, S. Khudanpur, and R. Rosenfeld (eds.) IMA Volume 138: Mathematical Foundations of Speech and Language Processing, pp. 115-134, 2003.
    • (2003) IMA Volume 138: Mathematical Foundations of Speech and Language Processing , vol.138 , pp. 115-134
    • Deng, L.1
  • 4
    • 4544257681 scopus 로고
    • Phonetic characterization and lexical access in non-segmental speech recognition
    • August
    • M.A. Huckvale, "Phonetic characterization and lexical access in non-segmental speech recognition," Proc. 13th International Congress of Phonetic Sciences, vol. 4, pp. 280-283, August 1995.
    • (1995) Proc. 13th International Congress of Phonetic Sciences , vol.4 , pp. 280-283
    • Huckvale, M.A.1
  • 7
    • 0034297586 scopus 로고    scopus 로고
    • Detection of phonological features in continuous speech using neural networks
    • S. King and P. Taylor, "Detection of phonological features in continuous speech using neural networks," Computer Speech and Language, vol. 14, no. 4, pp. 333-353, 2000.
    • (2000) Computer Speech and Language , vol.14 , Issue.4 , pp. 333-353
    • King, S.1    Taylor, P.2
  • 8
    • 84871614151 scopus 로고    scopus 로고
    • Distinctive features for use in an automatic speech recognition system
    • Aalborg, Denmark, September
    • E. Eide, "Distinctive features for use in an automatic speech recognition system," in Proceedings of the 7th EUROSPEECH, Aalborg, Denmark, September 2001.
    • (2001) Proceedings of the 7th EUROSPEECH
    • Eide, E.1
  • 9
    • 84964539481 scopus 로고    scopus 로고
    • Segmentation of continuous speech using acoustic phonetic parameters and statistical learning
    • C A. Juneja and Espy-Wilson, "Segmentation of continuous speech using acoustic phonetic parameters and statistical learning," in Proceedings of the ICNIP, 2002.
    • (2002) Proceedings of the ICNIP
    • Juneja, C.A.1    Espy-Wilson2
  • 10
    • 26444603266 scopus 로고    scopus 로고
    • An elitist approach to articulatory-acoustic feature classification
    • September Aalborg, Denmark
    • S. Chang, S. Greenberg, and M. Wester, "An elitist approach to articulatory-acoustic feature classification," Proceedings of the 7th EUROSPEECH, pp. 1729-1733, September Aalborg, Denmark, 2001.
    • (2001) Proceedings of the 7th EUROSPEECH , pp. 1729-1733
    • Chang, S.1    Greenberg, S.2    Wester, M.3
  • 11
    • 85009240321 scopus 로고    scopus 로고
    • A flexible stream architecture for asr using articulatory features
    • Denver, Colorado, September
    • F. Metze and A. Waibel, "A flexible stream architecture for asr using articulatory features," in Proceedings of the 7th ICSLP, Denver, Colorado, September 2002.
    • (2002) Proceedings of the 7th ICSLP
    • Metze, F.1    Waibel, A.2
  • 14
    • 85009223956 scopus 로고    scopus 로고
    • Syllable classification using articulatory acoustic features
    • Geneva, Switzerland, September
    • M. Wester, "Syllable classification using articulatory acoustic features," in Proceedings of the 8th EUROSPEECH, Geneva, Switzerland, September 2003.
    • (2003) Proceedings of the 8th EUROSPEECH
    • Wester, M.1
  • 15
    • 85009204121 scopus 로고    scopus 로고
    • Modeling linguistic features in speech recognition
    • September Geneva, Switzerland
    • M. Tang, S. Seneff, and V.W. Zue, "Modeling linguistic features in speech recognition," Proceedings of the 8th EUROSPEECH, pp. 2585-2588, September Geneva, Switzerland,2003.
    • (2003) Proceedings of the 8th EUROSPEECH , pp. 2585-2588
    • Tang, M.1    Seneff, S.2    Zue, V.W.3
  • 16
    • 4544323628 scopus 로고    scopus 로고
    • Hartfex: A multi-dimensional system of HMM based recognizers for articulatory feature extraction
    • Geneva, Switzerland, September
    • Tarek-Abu Amer and Julie Carson-Berndsen, "Hartfex: A multi-dimensional system of HMM based recognizers for articulatory feature extraction," in Proceedings of the 8th EUROSPEECH, Geneva, Switzerland, September 2003.
    • (2003) Proceedings of the 8th EUROSPEECH
    • Amer, T.-A.1    Carson-Berndsen, J.2
  • 17
    • 4544294514 scopus 로고    scopus 로고
    • Detection based processing for speech recognition and understanding
    • Atlanta, GA, October
    • B.H. Juang, "Detection based processing for speech recognition and understanding," in NSF Symposium on Next Generation ASR, Atlanta, GA, October 2003.
    • (2003) NSF Symposium on Next Generation ASR
    • Juang, B.H.1
  • 19
    • 0038720005 scopus 로고    scopus 로고
    • On automatic speech recognition at the dawn of the 21st century
    • March
    • C.-H. Lee, "On automatic speech recognition at the dawn of the 21st century," IEICE Transactions on Information and Systems, vol. E86-D, no. 3, pp. 377-396, March 2003.
    • (2003) IEICE Transactions on Information and Systems , vol.E86-D , Issue.3 , pp. 377-396
    • Lee, C.-H.1
  • 20
    • 0344509344 scopus 로고    scopus 로고
    • Phoneme probability estimation with dynamic sparsely connected artificial networks
    • N. Strom, "Phoneme probability estimation with dynamic sparsely connected artificial networks," in The Free Speech Journal, Issue No. 5, 1997.
    • (1997) The Free Speech Journal , Issue.5
    • Strom, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.