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Volumn , Issue , 2012, Pages 361-362

AVEC 2012 - The continuous audio/visual emotion challenge - Aon

Author keywords

Affective computing; Challenge; Emotion recognition; Facial expression; Speech

Indexed keywords

AFFECTIVE COMPUTING; AUDIO AND VIDEO; CHALLENGE; CORRELATION COEFFICIENT; EMOTION RECOGNITION; FACIAL EXPRESSIONS; GOLD STANDARDS;

EID: 84870213533     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2388676.2388758     Document Type: Conference Paper
Times cited : (71)

References (6)
  • 2
    • 78650977476 scopus 로고    scopus 로고
    • Opensmile - The munich versatile and fast open-source audio feature extractor
    • Florence, Italy
    • Eyben, F., Wöllmer, M., and Schuller, B. openSMILE - The Munich Versatile and Fast Open-Source Audio Feature Extractor. In Proc. ACM Multimedia (MM) (Florence, Italy, 2010), pp. 1459-1462.
    • (2010) Proc. ACM Multimedia (MM) , pp. 1459-1462
    • Eyben, F.1    Wöllmer, M.2    Schuller, B.3
  • 3
  • 4
    • 84859899698 scopus 로고    scopus 로고
    • The semaine database: Annotated multimodal records of emotionally colored conversations between a person and a limited agent
    • McKeown, G., Valstar, M., Cowie, R., Pantic, M., and Schroder, M. The semaine database: Annotated multimodal records of emotionally colored conversations between a person and a limited agent. IEEE Transactions on Affective Computing 3 (2012), 5-17.
    • (2012) IEEE Transactions on Affective Computing , vol.3 , pp. 5-17
    • McKeown, G.1    Valstar, M.2    Cowie, R.3    Pantic, M.4    Schroder, M.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.