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Volumn 6, Issue 2, 2011, Pages 283-290

Discriminative training of GMM-HMM acoustic model by RPCL learning

Author keywords

Bayesian Ying Yang harmony learning; discriminative training; hidden Markov model; large vocabulary continuous speech recognition; rival penalized competitive learning

Indexed keywords


EID: 79958755383     PISSN: 16733460     EISSN: 16733584     Source Type: Journal    
DOI: 10.1007/s11460-011-0152-0     Document Type: Article
Times cited : (12)

References (19)
  • 2
    • 70349227947 scopus 로고    scopus 로고
    • The application of hidden Markov models in speech recognition
    • Gales M, Young S. The application of hidden Markov models in speech recognition. Foundations and Trends in Signal Processing, 2008, 1(3): 195-304.
    • (2008) Foundations and Trends in Signal Processing , vol.1 , Issue.3 , pp. 195-304
    • Gales, M.1    Young, S.2
  • 7
    • 77956483883 scopus 로고    scopus 로고
    • Bayesian Ying-Yang system, best harmony learning, and five action circling
    • Xu L. Bayesian Ying-Yang system, best harmony learning, and five action circling. Frontiers of Electrical and Electronic Engineering in China, 2010, 5(3): 281-328.
    • (2010) Frontiers of Electrical and Electronic Engineering in China , vol.5 , Issue.3 , pp. 281-328
    • Xu, L.1
  • 9
    • 46049083679 scopus 로고    scopus 로고
    • Rival penalized competitive learning
    • Xu L. Rival penalized competitive learning. Scholarpedia, 2007, 2(8): 1810.
    • (2007) Scholarpedia , vol.2 , Issue.8 , pp. 1810
    • Xu, L.1
  • 10
    • 34247105235 scopus 로고    scopus 로고
    • A unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving
    • Xu L. A unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving. Pattern Recognition, 2007, 40(8): 2129-2153.
    • (2007) Pattern Recognition , vol.40 , Issue.8 , pp. 2129-2153
    • Xu, L.1
  • 11
    • 0002719797 scopus 로고
    • The hungarian method for the assignment problem
    • Kuhn H W. The hungarian method for the assignment problem. Naval Research Logistics Quarterly, 1955, 2(1-2): 83-97.
    • (1955) Naval Research Logistics Quarterly , vol.2 , Issue.1-2 , pp. 83-97
    • Kuhn, H.W.1
  • 17
    • 33745208000 scopus 로고    scopus 로고
    • Investigations on error minimizing training criteria for discriminative training in acoustic speech recognition
    • Macherey W, Haferkamp L, Schluter R, Ney H. Investigations on error minimizing training criteria for discriminative training in acoustic speech recognition. In: Proceedings of EuroSpeech 2005. 2005, 2133-2136.
    • (2005) Proceedings of EuroSpeech 2005 , pp. 2133-2136
    • Macherey, W.1    Haferkamp, L.2    Schluter, R.3    Ney, H.4
  • 18
    • 0035342391 scopus 로고    scopus 로고
    • Comparison of discriminative training criteria and optimization methods for speech recognition
    • Schlter R, Macherey W, Mller B, Ney H. Comparison of discriminative training criteria and optimization methods for speech recognition. Speech Communication, 2001, 34(3): 287-310.
    • (2001) Speech Communication , vol.34 , Issue.3 , pp. 287-310
    • Schlter, R.1    Macherey, W.2    Mller, B.3    Ney, H.4
  • 19
    • 44849099965 scopus 로고    scopus 로고
    • Phone-discriminating minimum classification error (P-MCE) training criteria for phonetic recognition
    • Fu Q, He X, Deng L. Phone-discriminating minimum classification error (P-MCE) training criteria for phonetic recognition. In: Proceedings of InterSpeech 2007. 2007, 2073-2076.
    • (2007) Proceedings of InterSpeech , vol.2007 , pp. 2073-2076
    • Fu, Q.1    He, X.2    Deng, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.