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Volumn , Issue , 2003, Pages 1985-1988

Lattice segmentation and minimum bayes risk discriminative training

Author keywords

[No Author keywords available]

Indexed keywords

SPEECH COMMUNICATION;

EID: 85009200647     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (17)
  • 1
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  • 2
    • 0001492251 scopus 로고    scopus 로고
    • Minimum bayes-risk automatic speech recognition
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    • Goel, V.1    Byrne, W.2
  • 3
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    • A post-processing system to yield reduced word error rates: Recognizer output voting error reduction (rover
    • J. Fiscus, "A Post-processing System to Yield Reduced Word Error Rates: Recognizer Output Voting Error Reduction (ROVER)," in IEEE Wkshp. Spch. Recog. & Und., 1997.
    • (1997) IEEE Wkshp. Spch. Recog. & und
    • Fiscus, J.1
  • 4
    • 0034296009 scopus 로고    scopus 로고
    • Finding consensus in speech recognition: Word Error Minimization and other applications of confusion networks
    • E. Brill L. Mangu and A. Stolcke, "Finding consensus in speech recognition: Word Error Minimization and other applications of confusion networks," Comp. Spch. & Lang., vol. 14(4), 2000.
    • (2000) Comp. Spch. & Lang , vol.14 , Issue.4
    • Brill, E.1    Mangu, L.2    Stolcke, A.3
  • 5
    • 85009178203 scopus 로고    scopus 로고
    • Minimum Bayes-risk automatic speech recognition
    • W. Chou and B.-H. Juang, Eds CRC Press
    • V. Goel and W. Byrne, "Minimum Bayes-risk automatic speech recognition," in Pattern Recognition in Speech and Language Processing,W. Chou and B.-H. Juang, Eds. CRC Press, 2003.
    • (2003) Pattern Recognition in Speech and Language Processing
    • Goel, V.1    Byrne, W.2
  • 6
    • 85009080615 scopus 로고    scopus 로고
    • Segmental minimum bayes-risk asr voting strategies
    • Beijing, China
    • V. Goel, S. Kumar, and W. Byrne, "Segmental Minimum Bayes-Risk ASR Voting Strategies," in ICSLP, Beijing, China, 2000.
    • (2000) ICSLP
    • Goel, V.1    Kumar, S.2    Byrne, W.3
  • 7
    • 84871615157 scopus 로고    scopus 로고
    • Confidence based lattice segmentation and minimum bayes-risk decoding
    • Aalborg, Denmark
    • V. Goel, S. Kumar, andW. Byrne, "Confidence Based Lattice Segmentation and Minimum Bayes-Risk Decoding," in Eurospeech, Aalborg, Denmark, 2001.
    • (2001) Eurospeech
    • Goel, V.1    Kumar, W.2    Byrne, S.3
  • 8
    • 0141814717 scopus 로고    scopus 로고
    • Discriminative training for segmental minimum bayes risk decoding
    • V. Doumpiotis, S. Tsakalidis, and W. Byrne, "Discriminative Training for Segmental Minimum Bayes Risk Decoding," in ICASSP, 2003.
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  • 9
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    • Maximum mutual information estimation of hidden markov models
    • C.-H. Lee, F. K. Soong, and K. Paliwal, Eds Kluwer
    • Y. Normandin, "Maximum Mutual Information Estimation of Hidden Markov Models," in Automatic Speech and Speaker Recognition: Advanced Topics, C.-H. Lee, F. K. Soong, and K. Paliwal, Eds. Kluwer, 1996.
    • (1996) Automatic Speech and Speaker Recognition: Advanced Topics
    • Normandin, Y.1
  • 10
    • 0002867698 scopus 로고    scopus 로고
    • Large scale discriminative training for speech recognition
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    • (2000) Proc. ITRW ASR. ISCA
    • Woodland, P.C.1    Povey, D.2
  • 11
    • 85009279391 scopus 로고    scopus 로고
    • Risk based lattice cutting for segmental minimum bayes-risk decoding
    • Denver, Colorado, USA
    • S. Kumar and W. Byrne, "Risk Based Lattice Cutting for Segmental Minimum Bayes-Risk Decoding," in ICSLP, Denver, Colorado, USA, 2002.
    • (2002) ICSLP
    • Kumar, S.1    Byrne, W.2
  • 12
    • 84871614543 scopus 로고    scopus 로고
    • A novel loss function for the overall risk criterion based discriminative training of hmm models
    • Beijing, China
    • J. Kaiser, B. Horvat, and Z. Kačič, "A Novel Loss Function for the Overall Risk Criterion Based Discriminative Training of HMM Models," in ICSLP, Beijing, China, 2000.
    • (2000) ICSLP
    • Kaiser, J.1    Horvat, B.2    Kačič, Z.3
  • 13
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    • Povey, D.1    Woodland, P.C.2
  • 14
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.