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Volumn , Issue , 2011, Pages 5608-5611

A novel decision function and the associated decision-feedback learning for speech translation

Author keywords

decision feedback; discriminative training; integrative design; speech translation

Indexed keywords

BASELINE SYSTEMS; BAYESIAN ANALYSIS; DECISION FEEDBACK; DECISION FUNCTIONS; DISCRIMINATIVE LEARNING; DISCRIMINATIVE TRAINING; END-TO-END DESIGN; FUNCTIONAL FORMS; INTEGRATIVE DESIGN; LANGUAGE MODEL; MACHINE TRANSLATIONS; MINIMUM CLASSIFICATION ERROR TRAINING; SPEECH TRANSLATION; SPEECH TRANSLATION SYSTEMS; SUB-SYSTEMS; TRAINING PROCESS;

EID: 80051607493     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2011.5947631     Document Type: Conference Paper
Times cited : (19)

References (14)
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    • Bozarov, A.1    Sagisaka, Y.2    Zhang, R.3    Kikui, G.4
  • 2
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  • 3
    • 80051663140 scopus 로고    scopus 로고
    • Why is word error rate not a good metric for speech recognizer training for the speech translation task?
    • submitted to
    • X. He, L. Deng and A. Acero, "Why is word error rate not a good metric for speech recognizer training for the speech translation task?", submitted to ICASSP 2011.
    • ICASSP 2011
    • He, X.1    Deng, L.2    Acero, A.3
  • 4
    • 0031139839 scopus 로고    scopus 로고
    • Minimum classification error rate methods for speech recognition
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    • Integrating speech recognition and machine translation: Where do we stand?
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  • 10
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  • 11
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  • 12
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    • Using word lattice information for a tighter coupling in speech translation systems
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    • An integrative and discriminative technique for spoken utterance classification
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.