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Volumn , Issue , 2010, Pages 2205-2210

Building a system for emotions detection from speech to control an affective avatar

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; TESTING;

EID: 84983662464     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (12)
  • 4
    • 21544459345 scopus 로고    scopus 로고
    • Challenges in real-life emotion annotation and machine learning based detection
    • L. Devillers, L. Vidrascu, and L. Lamel. 2005. Challenges in real-life emotion annotation and machine learning based detection. Neural Netw., 18(4):407-422.
    • (2005) Neural Netw. , vol.18 , Issue.4 , pp. 407-422
    • Devillers, L.1    Vidrascu, L.2    Lamel, L.3
  • 7
    • 0036186686 scopus 로고    scopus 로고
    • Feature selection toolbox software package
    • P. Pudil, J. Novovicová, and P. Somol. 2002. Feature selection toolbox software package. Pattern Recogn. Lett., 23(4):487-492.
    • (2002) Pattern Recogn. Lett. , vol.23 , Issue.4 , pp. 487-492
    • Pudil, P.1    Novovicová, J.2    Somol, P.3
  • 10
    • 79952014572 scopus 로고    scopus 로고
    • Automatic classification of emotion-related user states in spontaneous children's speech
    • Logos Verlag, Berlin
    • S. Steidl. 2009. Automatic classification of emotion-related user states in spontaneous children's speech. In Studien zur Mustererkennung, Volume 28. Logos Verlag, Berlin.
    • (2009) Studien zur Mustererkennung , vol.28
    • Steidl, S.1
  • 11
    • 84979947871 scopus 로고    scopus 로고
    • Automatic speech classification to five emotional states based on gender information
    • D. Ververidis and C. Kotropoulos. 2004. Automatic speech classification to five emotional states based on gender information. In Proc. 12th European Signal Processing Conference, page pp. 341344.
    • (2004) Proc. 12th European Signal Processing Conference , pp. 341-344
    • Ververidis, D.1    Kotropoulos, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.