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Volumn , Issue , 2007, Pages 306-311

Broad phonetic class recognition in a hidden Markov model framework using extended Baum-welch transformations

Author keywords

Gradient methods; Hidden Markov models; Speech recognition; Viterbi decoding

Indexed keywords

GRADIENT METHODS; HIDDEN MARKOV MODELS; LINGUISTICS; QUALITY CONTROL; TRELLIS CODES;

EID: 44849118234     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/asru.2007.4430129     Document Type: Conference Paper
Times cited : (8)

References (13)
  • 1
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    • (1989) ICASSP
    • Gopalakrishnan, P.S.1    Kanevsky, D.2    Nadas, A.3    Nahamoo, D.4
  • 2
    • 34547529083 scopus 로고    scopus 로고
    • Evaluation of Proposed Modifications to MPE for Large Scale Discriminative Training
    • April
    • D. Povey and B. Kingsbury, "Evaluation of Proposed Modifications to MPE for Large Scale Discriminative Training," in Proc. ICASSP, April. 2007.
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    • Povey, D.1    Kingsbury, B.2
  • 3
    • 34547522370 scopus 로고    scopus 로고
    • Comparison of Large Margin Training to Other Discriminative Methods for Phonetic Recognition by Hidden Markov Models
    • April
    • F. Sha and L. Saul, "Comparison of Large Margin Training to Other Discriminative Methods for Phonetic Recognition by Hidden Markov Models," in Proc. ICASSP, April. 2007.
    • (2007) Proc. ICASSP
    • Sha, F.1    Saul, L.2
  • 4
    • 4544302567 scopus 로고    scopus 로고
    • Extended Baum Transformations for General Functions
    • D. Kanevsky, "Extended Baum Transformations for General Functions," in Proc. ICASSP, 2004.
    • (2004) Proc. ICASSP
    • Kanevsky, D.1
  • 5
    • 44849142532 scopus 로고    scopus 로고
    • Extended Baum Transformations For General Functions, II,
    • Tech. Rep. RC23645W0506-120, Human Language Technologies, IBM
    • D. Kanevsky, "Extended Baum Transformations For General Functions, II," Tech. Rep. RC23645(W0506-120), Human Language Technologies, IBM, 2005.
    • (2005)
    • Kanevsky, D.1
  • 6
    • 44849141546 scopus 로고    scopus 로고
    • Unsupervised Audio Segmentation using EBW Transformations
    • April
    • T. N. Sainath, D. Kanevsky, and G. Iyengar, "Unsupervised Audio Segmentation using EBW Transformations," in Proc. ICASSP, April 2007.
    • (2007) Proc. ICASSP
    • Sainath, T.N.1    Kanevsky, D.2    Iyengar, G.3
  • 8
    • 0024610919 scopus 로고
    • A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition
    • February
    • L. R. Rabiner, "A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition," in IEEE, February 1989, vol. 77, pp. 257-286.
    • (1989) IEEE , vol.77 , pp. 257-286
    • Rabiner, L.R.1
  • 9
    • 2642674840 scopus 로고
    • A Model of Lexical Access for Partial Phonetic Information
    • March
    • D. P. Huttenlocher and V. Zue, "A Model of Lexical Access for Partial Phonetic Information," in Proc. ICASSP, March 1984.
    • (1984) Proc. ICASSP
    • Huttenlocher, D.P.1    Zue, V.2
  • 11
    • 33947700957 scopus 로고    scopus 로고
    • A Sinusoidal Model Approach to Acoustic Landmark Detection and Segmentation for Robust Segment-Based Speech Recognition
    • T. N. Sainath and T. J. Hazen, "A Sinusoidal Model Approach to Acoustic Landmark Detection and Segmentation for Robust Segment-Based Speech Recognition," in Proc. ICASSP, 2006.
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    • Sainath, T.N.1    Hazen, T.J.2
  • 12
    • 0004319968 scopus 로고
    • The Noisex-92 Study on the Effect of Additive Noise on Automatic Speech Recognition,
    • Tech. Rep, DRA Speech Research Unit
    • A. Varga, H. J. M. Steeneken, M. Tomlinson, and D. Jones, "The Noisex-92 Study on the Effect of Additive Noise on Automatic Speech Recognition," Tech. Rep., DRA Speech Research Unit, 1992.
    • (1992)
    • Varga, A.1    Steeneken, H.J.M.2    Tomlinson, M.3    Jones, D.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.