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Volumn , Issue , 2006, Pages 208-215

Humor: Prosody analysis and automatic recognition for F * R * i * e * N * D * S *

Author keywords

[No Author keywords available]

Indexed keywords

ANNOTATION SCHEME; AUTOMATIC RECOGNITION; LEARNING CLASSIFIERS; LINGUISTIC FEATURES; SPOKEN CONVERSATION; TELEVISION SHOWS;

EID: 37349081192     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (77)

References (18)
  • 1
    • 80053247759 scopus 로고    scopus 로고
    • Emotions from text: Machine learning for text-based emotion prediction
    • Vancouver, CA
    • C. Alm, D. Roth, and R. Sproat. 2005. Emotions from text: Machine learning for text-based emotion prediction. In Proceedings of HLT/EMNLP, Vancouver, CA.
    • (2005) Proceedings of HLT/EMNLP
    • Alm, C.1    Roth, D.2    Sproat, R.3
  • 2
    • 85009145332 scopus 로고    scopus 로고
    • Prosody-based automatic detection of annoyance and frustration in humancomputer dialog
    • J. Ang, R. Dhillon, A. Krupski, E. Shriberg, and A. Stolcke. 2002. Prosody-based automatic detection of annoyance and frustration in humancomputer dialog. In Proceedings of ICSLP.
    • (2002) Proceedings of ICSLP
    • Ang, J.1    Dhillon, R.2    Krupski, A.3    Shriberg, E.4    Stolcke, A.5
  • 4
    • 0002441324 scopus 로고    scopus 로고
    • Computational rules for punning riddles
    • K. Binsted and G. Ritchie. 1997. Computational rules for punning riddles. Humor, 10(1).
    • (1997) Humor , vol.10 , Issue.1
    • Binsted, K.1    Ritchie, G.2
  • 9
    • 0036473090 scopus 로고    scopus 로고
    • This computer responds to user frustration: Theory, design, and results
    • J. Klein, Y. Moon, and R. Picard. 2002. This computer responds to user frustration: Theory, design, and results. Interacting with Computers, 14.
    • (2002) Interacting with Computers , vol.14
    • Klein, J.1    Moon, Y.2    Picard, R.3
  • 10
    • 84976216481 scopus 로고    scopus 로고
    • Classifying subject ratings of emotional speech using acoustic features
    • Geneva, Switzerland
    • J. Liscombe, J. Venditti, and J. Hirschberg. 2003. Classifying subject ratings of emotional speech using acoustic features. In Proceedings of Eurospeech, Geneva, Switzerland.
    • (2003) Proceedings of Eurospeech
    • Liscombe, J.1    Venditti, J.2    Hirschberg, J.3
  • 11
    • 83655166146 scopus 로고    scopus 로고
    • Predicting student emotions in computer-human tutoring dialogues
    • Barcelona, Spain
    • D. Litman and K. Forbes-Riley. 2004. Predicting student emotions in computer-human tutoring dialogues. In Proceedings of ACL, Barcelona, Spain.
    • (2004) Proceedings of ACL
    • Litman, D.1    Forbes-Riley, K.2
  • 12
    • 80053229637 scopus 로고    scopus 로고
    • Making computers laugh: Investigations in automatic humor recognition
    • Vancouver, CA
    • R. Mihalcea and C. Strapparava. 2005. Making computers laugh: Investigations in automatic humor recognition. In Proceedings of HLT/EMNLP, Vancouver, CA.
    • (2005) Proceedings of HLT/EMNLP
    • Mihalcea, R.1    Strapparava, C.2
  • 14
    • 0037384712 scopus 로고    scopus 로고
    • Vocal communication of emotion: A review of research paradigms
    • Scherer. 2003. Vocal communication of emotion: A review of research paradigms. Speech Communication, 40(1-2):227-256.
    • (2003) Speech Communication , vol.40 , Issue.1-2 , pp. 227-256
    • Scherer1
  • 18


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.