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Volumn 4, Issue , 2007, Pages 2476-2479

Structural bayesian language modeling and adaptation

Author keywords

Automatic speech recognition and understanding; Bayesian language modeling; Bayesian learning; Language model adaptation

Indexed keywords

BAYESIAN NETWORKS; COMPUTATIONAL LINGUISTICS; DIGITAL SIGNAL PROCESSING; LINGUISTICS; SPEECH; SPEECH ANALYSIS; SPEECH RECOGNITION; TREES (MATHEMATICS);

EID: 56149096549     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (6)
  • 1
    • 0346008165 scopus 로고    scopus 로고
    • Statistical language model adaptation: Review and perspectives
    • J. R. Bellegarda, "Statistical language model adaptation: review and perspectives," Speech Communication, vol. 42, pp. 93-108, 2004.
    • (2004) Speech Communication , vol.42 , pp. 93-108
    • Bellegarda, J.R.1
  • 2
    • 0034842352 scopus 로고    scopus 로고
    • Portability of syntactic structure for language modeling
    • C. Chelba, "Portability of syntactic structure for language modeling," in the Proceedings oflCASSP, 2001.
    • (2001) Proceedings oflCASSP
    • Chelba, C.1
  • 5
    • 0028419019 scopus 로고
    • Maximum a posteriori estimation for multivariate gaussian mixture observations of markov chains
    • J.-L. Gauvain and C.-H. Lee, "Maximum a posteriori estimation for multivariate gaussian mixture observations of markov chains," IEEE Transactions on Speech and Audio Processing, vol. 2, no. 2, pp. 291-298, 1994.
    • (1994) IEEE Transactions on Speech and Audio Processing , vol.2 , Issue.2 , pp. 291-298
    • Gauvain, J.-L.1    Lee, C.-H.2
  • 6
    • 85079095310 scopus 로고
    • The design for the wall street journal based csr corpus
    • Banff, Alberta, Canada, September
    • D. B. Paul and J. M. Baker, "The design for the wall street journal based csr corpus," in the Proceedings of ICSLP, Banff, Alberta, Canada, September 1992.
    • (1992) the Proceedings of ICSLP
    • Paul, D.B.1    Baker, J.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.