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Volumn , Issue , 2013, Pages 440-445

Discriminative semi-supervised training for keyword search in low resource languages

Author keywords

keyword spotting; low resource languages; semi supervised training

Indexed keywords

DISCRIMINATIVE TRAINING; KEYWORD SPOTTING; LANGUAGE EVALUATIONS; LOW RESOURCE LANGUAGES; MULTI LAYER PERCEPTRON; SEMI-SUPERVISED; SEMI-SUPERVISED METHOD; SEMI-SUPERVISED TRAININGS;

EID: 84893705111     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASRU.2013.6707770     Document Type: Conference Paper
Times cited : (22)

References (17)
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  • 2
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    • DOI 10.1109/TSA.2004.838537
    • F. Wessel and H. Ney, "Unsupervised Training of Acoustic Models for Large Vocabulary Continuous Speech Recognition, " IEEE Transactions on Speech and Audio Processing, vol. 13, no. 1, pp. 23-31, 2005. (Pubitemid 40049937)
    • (2005) IEEE Transactions on Speech and Audio Processing , vol.13 , Issue.1 , pp. 23-31
    • Wessel, F.1    Ney, H.2
  • 4
    • 84860878023 scopus 로고    scopus 로고
    • Multi-view and multi-objective semi-supervised learning for hmmbased automatic speech recognition
    • X. Cui, J. Huang, and J.T. Chien, "Multi-View and Multi-Objective Semi-Supervised Learning for HMMBased Automatic Speech Recognition, " IEEE Transactions on Audio, Speech, and Language Processing, vol. 20, no. 7, pp. 1923-1935, 2012.
    • (2012) IEEE Transactions on Audio, Speech, and Language Processing , vol.20 , Issue.7 , pp. 1923-1935
    • Cui, X.1    Huang, J.2    Chien, J.T.3
  • 11
    • 84867196264 scopus 로고    scopus 로고
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    • Ma, J.1    Schwartz, R.2
  • 13
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    • Penalty function maximization for large margin hmm training
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    • Saon, G.1    Povey, D.2
  • 14
    • 84865747510 scopus 로고    scopus 로고
    • Generalized baum-welch algorithm and its implication to a new extended baum- welch algorithm
    • R. Hsiao and T. Schultz, "Generalized Baum-Welch Algorithm and Its Implication to a New Extended Baum- Welch Algorithm, " in Proceedings of the INTERSPEECH, 2011.
    • (2011) Proceedings of the INTERSPEECH
    • Hsiao, R.1    Schultz, T.2
  • 17
    • 84893642011 scopus 로고    scopus 로고
    • Semi-supervised bootstrapping approach for neural network feature extractor training
    • submitted to
    • F. Grézl and M. Karafiát, "Semi-supervised bootstrapping approach for neural network feature extractor training, " submitted to ASRU 2013.
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    • Grézl, F.1    Karafiát, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.