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Volumn , Issue , 2010, Pages 5182-5185

Discriminative training methods for language models using conditional entropy criteria

Author keywords

Conditional entropy; Discriminative training; Language model; Unsupervised training

Indexed keywords

COMPUTATIONAL LINGUISTICS; SIGNAL PROCESSING; SPEECH RECOGNITION; TELEPHONE SETS;

EID: 78049374756     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2010.5495008     Document Type: Conference Paper
Times cited : (7)

References (8)
  • 1
  • 2
    • 33745224107 scopus 로고    scopus 로고
    • Minimum word error based discriminative training of language models
    • Jen-Wei Kuo and Berlin Chen, "Minimum word error based discriminative training of language models," in Proc. INTERSPEECH, 2005, pp. 1277-1280.
    • Proc. INTERSPEECH, 2005 , pp. 1277-1280
    • Kuo, J.-W.1    Chen, B.2
  • 3
    • 33750713654 scopus 로고    scopus 로고
    • Discriminative n-gram language modeling
    • Brian Roark, Murat Saraclar, and Michael Collins, "Discriminative n-gram language modeling," Computer Speech and Language, vol. 21, no. 2, pp. 373-392, 2007.
    • (2007) Computer Speech and Language , vol.21 , Issue.2 , pp. 373-392
    • Roark, B.1    Saraclar, M.2    Collins, M.3
  • 4
    • 70349210285 scopus 로고    scopus 로고
    • Leveraging multiple query logs to improve language models for spoken query recognition
    • Xiao Li, Patrick Nguyen, Geoffrey Zweig, and Dan Bohus, "Leveraging multiple query logs to improve language models for spoken query recognition," in Proc. ICASSP, 2009, pp. 3713-3716.
    • Proc. ICASSP, 2009 , pp. 3713-3716
    • Li, X.1    Nguyen, P.2    Zweig, G.3    Bohus, D.4
  • 6
    • 70349196830 scopus 로고    scopus 로고
    • Acoustically discriminative training for language models
    • Gakuto Kurata, Nobuyasu Itoh, and Masafumi Nishimura, "Acoustically discriminative training for language models," in Proc. ICASSP, 2009, pp. 4717-4720.
    • Proc. ICASSP, 2009 , pp. 4717-4720
    • Kurata, G.1    Itoh, N.2    Nishimura, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.