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Volumn , Issue , 2008, Pages 2382-2385

Aggregated cross-validation and its efficient application to Gaussian mixture optimization

Author keywords

[No Author keywords available]

Indexed keywords

CROSS VALIDATION; GAUSSIAN MIXTURES; MODEL SELECTION; MULTIPLE MODELS; OPTIMIZATION ALGORITHMS; OPTIMIZATION METHOD; ORAL PRESENTATIONS; SUFFICIENT STATISTICS; WORD ERROR RATE;

EID: 84867216283     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (12)
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    • Shinoda, K.1    Watanabe, T.2
  • 2
    • 85135141040 scopus 로고    scopus 로고
    • Automatic architecture design by likelihood-based context clustering with crossvalidation
    • I. Rogina, "Automatic architecture design by likelihood-based context clustering with crossvalidation," in Proc. Eurospeech, Rhodes, Greece, 1997, pp. 1223-1226.
    • Proc. Eurospeech, Rhodes, Greece, 1997 , pp. 1223-1226
    • Rogina, I.1
  • 4
    • 0030715097 scopus 로고    scopus 로고
    • HMM topology design using maximum likelihood successive state splitting
    • M. Ostendorf and H. Singer, "HMM topology design using maximum likelihood successive state splitting," Computer Speech and Language, vol. 11, pp. 17-41, 1997.
    • (1997) Computer Speech and Language , vol.11 , pp. 17-41
    • Ostendorf, M.1    Singer, H.2
  • 5
    • 33645797655 scopus 로고    scopus 로고
    • Utterance-based selective training for the automatic creation of task-dependent acoustic models
    • T. Cincarek, T. Tomoki, H Saruwatari, and K. Shikano, "Utterance-based selective training for the automatic creation of task-dependent acoustic models," IEICE Transactions on Information and Systems, vol. E89-D, no. 3, pp. 962-969, 2006.
    • (2006) IEICE Transactions on Information and Systems , vol.E89-D , Issue.3 , pp. 962-969
    • Cincarek, T.1    Tomoki, T.2    Saruwatari, H.3    Shikano, K.4
  • 6
    • 44849119309 scopus 로고    scopus 로고
    • Gaussian mixture optimization for HMM based on efficient cross-validation
    • T. Shinozaki and T. Kawahara, "Gaussian mixture optimization for HMM based on efficient cross-validation," in Proc. Interspeech, 2007, pp. 2061-2064.
    • Proc. Interspeech, 2007 , pp. 2061-2064
    • Shinozaki, T.1    Kawahara, T.2
  • 7
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman, "Bagging predictors," Machine Learning, vol. 24, no. 2, pp. 123-140, 1996.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 8
    • 51449090592 scopus 로고    scopus 로고
    • GMM and HMM training by aggregated EM algorithm with increased ensemble sizes for robust parameter estimation
    • T. Shinozaki and T. Kawahara, "GMM and HMM training by aggregated EM algorithm with increased ensemble sizes for robust parameter estimation," in Proc. ICASSP, 2008, pp. 4405-4408.
    • Proc. ICASSP, 2008 , pp. 4405-4408
    • Shinozaki, T.1    Kawahara, T.2
  • 9
    • 35549000218 scopus 로고    scopus 로고
    • Cross-validation and aggregated EM training for robust parameter estimation
    • T. Shinozaki and M. Ostendorf, "Cross-validation and aggregated EM training for robust parameter estimation," Computer speech and language, vol. 22, no. 2, pp. 185-195, 2008.
    • (2008) Computer Speech and Language , vol.22 , Issue.2 , pp. 185-195
    • Shinozaki, T.1    Ostendorf, M.2
  • 10
    • 3042854734 scopus 로고    scopus 로고
    • Benchmark test for speech recognition using the Corpus of Spontaneous Japanese
    • T. Kawahara, H. Nanjo, T. Shinozaki, and S. Furui, "Benchmark test for speech recognition using the Corpus of Spontaneous Japanese," in Proc. SSPR2003, 2003, pp. 135-138.
    • (2003) Proc. SSPR2003 , pp. 135-138
    • Kawahara, T.1    Nanjo, H.2    Shinozaki, T.3    Furui, S.4
  • 11
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    • Cambridge University Engineering Department
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  • 12
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    • An efficient two-pass search algorithm using word trellis index
    • A. Lee, T. Kawahara, and S. Doshita, "An efficient two-pass search algorithm using word trellis index," in Proc. ICSLP, 1998, pp. 1831-1834.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.