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Volumn , Issue , 2010, Pages 5198-5201

Language model adaptation using random forests

Author keywords

Adaptation; Language modeling; Random forests

Indexed keywords

COMPUTATIONAL LINGUISTICS; FORESTRY; MODELING LANGUAGES; SPEECH RECOGNITION;

EID: 78049394660     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2010.5495012     Document Type: Conference Paper
Times cited : (5)

References (12)
  • 1
    • 0032050110 scopus 로고    scopus 로고
    • Maximum likelihood linear transformations for HMM-based speech recognition
    • M. J. F. Gales, "Maximum likelihood linear transformations for HMM-based speech recognition," Computer Speech and Language, pp. 75-98, 1998.
    • (1998) Computer Speech and Language , pp. 75-98
    • Gales, M.J.F.1
  • 3
    • 0029288633 scopus 로고
    • Maximum likelihood linear regression for speaker adaptation of continuous density hidden markov models
    • C. J. Legetter and P. Woodland, "Maximum likelihood linear regression for speaker adaptation of continuous density hidden markov models," Computer Speech and Language, 1995.
    • (1995) Computer Speech and Language
    • Legetter, C.J.1    Woodland, P.2
  • 9
    • 85117170162 scopus 로고    scopus 로고
    • Random forests in language modeling
    • Peng Xu and Frederick Jelinek, "Random forests in language modeling," EMNLP, 2004.
    • (2004) EMNLP
    • Xu, P.1    Jelinek, F.2
  • 10
    • 0032049073 scopus 로고    scopus 로고
    • Algorithms for bigram and trigram word clustering
    • Sven Martin, Jörg Liermann, and Hermann Ney, "Algorithms for bigram and trigram word clustering," Speech Communication, vol. 24, no. 1, pp. 19-37, 1998.
    • (1998) Speech Communication , vol.24 , Issue.1 , pp. 19-37
    • Martin, S.1    Liermann, J.2    Ney, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.