메뉴 건너뛰기




Volumn , Issue , 2005, Pages 2973-2976

Cross-speaker articulatory position data for phonetic feature prediction

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; DATABASE SYSTEMS; ELECTROMAGNETIC WAVE ABSORPTION; FEATURE EXTRACTION; INFORMATION DISSEMINATION; SPEECH SYNTHESIS;

EID: 33745217332     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (17)
  • 1
    • 33745187555 scopus 로고    scopus 로고
    • A new resource for production modelling in speech technology
    • Stratford-on-Avon
    • A. Wrench, "A new resource for production modelling in speech technology," in Proc. Workshop on Innovations in Speech Processing, Stratford-on-Avon, 2001.
    • (2001) Proc. Workshop on Innovations in Speech Processing
    • Wrench, A.1
  • 3
    • 85009243663 scopus 로고    scopus 로고
    • Acoustic-to-articulatory inverse mapping using an HMM-based speech production model
    • Denver, CO.
    • S. Hiroya and M. Honda, "Acoustic-to-articulatory inverse mapping using an HMM-based speech production model," in ICSLP2002, Denver, CO., 2002.
    • (2002) ICSLP2002
    • Hiroya, S.1    Honda, M.2
  • 4
    • 33745199601 scopus 로고    scopus 로고
    • Estimating detailed spectral envelopes using articulatory clustering
    • June
    • Y. Shiga and S. King, "Estimating detailed spectral envelopes using articulatory clustering," in 5th ISCA Speech Synthesis Workshop, June 2004.
    • (2004) 5th ISCA Speech Synthesis Workshop
    • Shiga, Y.1    King, S.2
  • 5
    • 85027459007 scopus 로고    scopus 로고
    • Mapping from articulatory movements to vocal tract spectrum with gaussian mixture model for articulatory speech synthesis
    • June
    • T. Toda, A. Black, and K. Tokuda, "Mapping from articulatory movements to vocal tract spectrum with gaussian mixture model for articulatory speech synthesis," in 5th ISCA Speech Synthesis Workshop, June 2004.
    • (2004) 5th ISCA Speech Synthesis Workshop
    • Toda, T.1    Black, A.2    Tokuda, K.3
  • 6
    • 85009061214 scopus 로고    scopus 로고
    • Acoustic-to-articulatory inversion mapping with gaussian mixture model
    • Oct.
    • _, "Acoustic-to-articulatory inversion mapping with gaussian mixture model," in Proc. ICSLP2004, Oct. 2004, pp. 1129-1132.
    • (2004) Proc. ICSLP2004 , pp. 1129-1132
  • 7
    • 29444447186 scopus 로고    scopus 로고
    • Hybrid HMM/BN ASR system integrating spectrum and articulatory features
    • Geneva, Switzerland
    • K. Markov, J. Dang, Y. Iizuka, and S. Nakamura, "Hybrid HMM/BN ASR system integrating spectrum and articulatory features," in Eurospeech03, Geneva, Switzerland, 2003.
    • (2003) Eurospeech03
    • Markov, K.1    Dang, J.2    Iizuka, Y.3    Nakamura, S.4
  • 8
    • 85009100590 scopus 로고    scopus 로고
    • Integration of articulatory dynamic parameters in HMM/BN based speech recognition system
    • Oct.
    • K. Markov, S. Nakamura, and J. Dang, "Integration of articulatory dynamic parameters in HMM/BN based speech recognition system," in Proc. ICSLP2004, Oct. 2004.
    • (2004) Proc. ICSLP2004
    • Markov, K.1    Nakamura, S.2    Dang, J.3
  • 10
    • 85009240321 scopus 로고    scopus 로고
    • A flexible stream architecture for ASR using articulatory features
    • Denver, CO.
    • F. Metze and A. Waibel, "A flexible stream architecture for ASR using articulatory features," in ICSLP2002, Denver, CO., 2002.
    • (2002) ICSLP2002
    • Metze, F.1    Waibel, A.2
  • 11
    • 85009088992 scopus 로고    scopus 로고
    • Articulatory feature recognition using dynamic bayesian networks
    • Oct.
    • J. Frankel, M. Wester, and S. King, "Articulatory feature recognition using dynamic bayesian networks," in Proceedings ICSLP2004, Oct. 2004.
    • (2004) Proceedings ICSLP2004
    • Frankel, J.1    Wester, M.2    King, S.3
  • 12
    • 33745222753 scopus 로고    scopus 로고
    • Asynchronous articulatory feature recognition using dynamic bayesian networks
    • Kyoto, Dec.
    • M. Wester, J. Frankel, and S. King, "Asynchronous articulatory feature recognition using dynamic bayesian networks," in Proc. IEICI Beyond HMM Workshop, Kyoto, Dec. 2004.
    • (2004) Proc. IEICI beyond HMM Workshop
    • Wester, M.1    Frankel, J.2    King, S.3
  • 13
    • 4544293504 scopus 로고    scopus 로고
    • Moving beyond the 'beads-on-a-string' model of speech
    • M. Ostendorf, "Moving beyond the 'beads-on-a-string' model of speech," in Proc. ASRU 99, 1999.
    • (1999) Proc. ASRU 99
    • Ostendorf, M.1
  • 17
    • 0016467604 scopus 로고
    • Minimum prediction residual principle applied to speech recognition
    • Feb.
    • F. Itakura, "Minimum prediction residual principle applied to speech recognition," Acoustics, Speech, and Signal Processing, vol. 23, no. 1, pp. 67-72, Feb. 1975.
    • (1975) Acoustics, Speech, and Signal Processing , vol.23 , Issue.1 , pp. 67-72
    • Itakura, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.