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Volumn , Issue , 2009, Pages 323-326

Towards the use of inferred cognitive states in language modeling

Author keywords

[No Author keywords available]

Indexed keywords

COGNITIVE STATE; LANGUAGE MODELING; MENTAL PROCESS; SPEAKING RATE; TRIGRAM MODEL;

EID: 77949379148     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASRU.2009.5373290     Document Type: Conference Paper
Times cited : (6)

References (18)
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    • Stolcke, A.1    Shriberg, E.2
  • 3
    • 84867214227 scopus 로고    scopus 로고
    • Modeling the effects on time-into-utterance on word probabilities
    • N. G. Ward and A. Vega, "Modeling the effects on time-into-utterance on word probabilities," in Interspeech, 2008, pp. 1606-1609.
    • (2008) Interspeech , pp. 1606-1609
    • Ward, N.G.1    Vega, A.2
  • 4
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    • Cambridge University Press
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    • (1996) Using Language
    • Clark, H.H.1
  • 5
    • 85016587886 scopus 로고
    • Switchboard: Telephone speech corpus for research and development
    • J. J. Godfrey, E. C. Holliman, and J. McDaniel, "Switchboard: Telephone speech corpus for research and development," in Proceedings of ICASSP, 1992, pp. 517-520.
    • (1992) Proceedings of ICASSP , pp. 517-520
    • Godfrey, J.J.1    Holliman, E.C.2    McDaniel, J.3
  • 6
    • 77949411297 scopus 로고    scopus 로고
    • ISIP, Mississippi State University. retrieved 2007 from
    • ISIP, "Manually corrected Switchboard word alignments," 2003, Mississippi State University. retrieved 2007 from http://www. ece.msstate.edu/research/isip/projects/switchboard/.
    • (2003) Manually corrected Switchboard word alignments
  • 8
    • 77949378553 scopus 로고    scopus 로고
    • Modeling prosodic features in language models for meetings
    • Machine Learning for Multimodal Interaction IV, A. Popescu-Belis, S. Renals, and H. Bourlard, Eds. Springer
    • S. Huang and S. Renals, "Modeling prosodic features in language models for meetings," in Machine Learning for Multimodal Interaction IV (LNCS 4892), A. Popescu-Belis, S. Renals, and H. Bourlard, Eds. Springer, 2007, pp. 191-202.
    • (2007) LNCS , vol.4892 , pp. 191-202
    • Huang, S.1    Renals, S.2
  • 9
    • 34547525606 scopus 로고    scopus 로고
    • Improved speech recognition using acoustic and lexical correlates of pitch accent in a n-best rescoring framework
    • S. Ananthakrishnan and S. Narayanan, "Improved speech recognition using acoustic and lexical correlates of pitch accent in a n-best rescoring framework," in ICASSP, 2007.
    • (2007) ICASSP
    • Ananthakrishnan, S.1    Narayanan, S.2
  • 11
    • 85022925778 scopus 로고    scopus 로고
    • Language model adaptation using dynamic marginals
    • R. Kneser, J. Peters, and D. Klakow, "Language model adaptation using dynamic marginals," in Proc. Eurospeech, 1997, pp. 1971-1974.
    • (1997) Proc. Eurospeech , pp. 1971-1974
    • Kneser, R.1    Peters, J.2    Klakow, D.3
  • 12
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    • 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.
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  • 13
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    • Using non-lexical context to improve a language model for dialog
    • submitted
    • N. G. Ward and A. Vega, "Using non-lexical context to improve a language model for dialog," Speech Communication, submitted, 2009.
    • (2009) Speech Communication
    • Ward, N.G.1    Vega, A.2
  • 14
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    • Estimating the potential of signal and interlocutor-track information for language modeling
    • N. G. Ward and B. H. Walker, "Estimating the potential of signal and interlocutor-track information for language modeling," in Interspeech, 2009.
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    • Ward, N.G.1    Walker, B.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.