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Volumn 2, Issue , 2007, Pages 1273-1276

On the equivalence of Gaussian HMM and Gaussian HMM-like Hidden Conditional Random Fields

Author keywords

Maximum entropy methods; Parameter estimation; Speech recognition

Indexed keywords

ACOUSTIC MODELING; GAUSSIAN DISTRIBUTION; IMAGE SEGMENTATION; MAXIMUM ENTROPY METHODS; MAXIMUM PRINCIPLE;

EID: 56149106440     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (11)
  • 1
    • 85009216465 scopus 로고    scopus 로고
    • A comparative study on maximum entropy and discriminative training for acoustic modeling in automatic speech recognition
    • Geneva, Switzerland, Sept
    • W. Macherey and H. Ney, "A comparative study on maximum entropy and discriminative training for acoustic modeling in automatic speech recognition," in Proc. European Conference on Speech Communication and Technology, Geneva, Switzerland, Sept. 2003, pp. 493 - 496.
    • (2003) Proc. European Conference on Speech Communication and Technology , pp. 493-496
    • Macherey, W.1    Ney, H.2
  • 6
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • San Francisco, CA
    • J. Lafferty, A. McCallum, and F. Pereira, "Conditional random fields: probabilistic models for segmenting and labeling sequence data," in Proc. 18th Int. Cong. Machine Learning, San Francisco, CA, 2001, pp. 282 - 289.
    • (2001) Proc. 18th Int. Cong. Machine Learning , pp. 282-289
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 9
    • 84890368592 scopus 로고    scopus 로고
    • Towards EM-style algorithms for a posteriori optimization of normal mixtures
    • August
    • E. S. Ristad and P. N. Yianilos, "Towards EM-style algorithms for a posteriori optimization of normal mixtures," in Proc. IEEE Symposium on Information Theory, August 1998.
    • (1998) Proc. IEEE Symposium on Information Theory
    • Ristad, E.S.1    Yianilos, P.N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.