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Volumn 18, Issue 1, 1996, Pages 79-89

Multilayer perceptrons for state-dependent weightings of HMM likelihoods

Author keywords

Multilayer perceptron; Speech recognition; Weighting of hidden Markov models

Indexed keywords

ALGORITHMS; MARKOV PROCESSES; MATHEMATICAL MODELS; NEURAL NETWORKS; SPEECH ANALYSIS; SPEECH PROCESSING; STATISTICAL METHODS;

EID: 0029732695     PISSN: 01676393     EISSN: None     Source Type: Journal    
DOI: 10.1016/0167-6393(95)00038-0     Document Type: Article
Times cited : (7)

References (21)
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  • 4
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  • 5
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    • Y. Bengio, R.D. Mori, G. Flammia and R. Kompe (1992). "Global optimization of a neural network-hidden Markov model hybrid", IEEE Trans. Neural Networks, Vol. 3, pp. 252-258.
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  • 8
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    • Use of different numbers of mixtures in continuous density hidden Markov models
    • Y.J. Chung and C.K. Un (1993), "Use of different numbers of mixtures in continuous density hidden Markov models", IEE Electronic Letters, Vol. 29, No. 9, pp. 824-825.
    • (1993) IEE Electronic Letters , vol.29 , Issue.9 , pp. 824-825
    • Chung, Y.J.1    Un, C.K.2
  • 15
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    • Discriminative learning for minimum error classification
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  • 16
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    • A frame-synchronous network search algorithm for connected word recognition
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    • Lee, C.H.1    Rabiner, L.R.2
  • 18
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    • Maximum likelihood hidden Markov modeling using a dominant sequence of states
    • N. Merhav and Y. Ephraim (1991), "Maximum likelihood hidden Markov modeling using a dominant sequence of states", IEEE Trans. Signal Process., Vol. 39, pp. 2111-2114.
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    • Merhav, N.1    Ephraim, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.