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Volumn , Issue , 2009, Pages 1633-1636

A unified view for discriminative objective functions based on negative exponential of difference measure between strings

Author keywords

Automatic speech recognition; Discriminative training; Generalized objective function; Laplace Stieltjes transform; Negative exponential function

Indexed keywords

AUTOMATIC SPEECH RECOGNITION; DISCRIMINATIVE TRAINING; GENERALIZED OBJECTIVE FUNCTION; LAPLACE-STIELTJES TRANSFORM; NEGATIVE EXPONENTIAL FUNCTION;

EID: 70349205533     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2009.4959913     Document Type: Conference Paper
Times cited : (12)

References (10)
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  • 3
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    • McDermott, E.1
  • 4
    • 0036296863 scopus 로고    scopus 로고
    • Minimum Phone Error and I-smoothing for improved discriminative training
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    • (2002) Proc. IEEE ICASSP , pp. 105-108
    • Povey, D.1    Woodland, P.2
  • 5
    • 33745203493 scopus 로고    scopus 로고
    • Improved discriminative training using phone lattices
    • J. Zheng and A. Stolcke, "Improved discriminative training using phone lattices," in Proc. Interspeech, pp. 2125-2128, 2005.
    • (2005) Proc. Interspeech , pp. 2125-2128
    • Zheng, J.1    Stolcke, A.2
  • 6
    • 33745208000 scopus 로고    scopus 로고
    • Investigations on error minimizing training criteria for discriminative training in automatic speech recognition
    • W. Macherey, et al., "Investigations on error minimizing training criteria for discriminative training in automatic speech recognition," in Proc. Eurospeech, pp. 2133-2136, 2005.
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    • Macherey, W.1
  • 7
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    • Boosted MMI for model and feature-space discriminative training
    • D. Povey, et al., "Boosted MMI for model and feature-space discriminative training," in Proc.IEEE ICASSP, pp. 4057-4060, 2008.
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    • Povey, D.1
  • 8
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    • Flexible discriminative training based on equal error group scores obtained from an error-indexed forward-backward algorithm
    • E. McDermott and A. Nakamura, "Flexible discriminative training based on equal error group scores obtained from an error-indexed forward-backward algorithm," in Proc. Interspeech, pp. 2398-2401, 2008.
    • (2008) Proc. Interspeech , pp. 2398-2401
    • McDermott, E.1    Nakamura, A.2
  • 9
    • 56449091292 scopus 로고    scopus 로고
    • Modified MMI/MPE: A direct evaluation of the margin in speech recognition
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  • 10
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    • Penalty function maximization for large margin HMM training
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    • Saon, G.1    Povey, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.