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Volumn 1, Issue , 2009, Pages 598-602

Evaluation and discussion of multi-modal emotion recognition

Author keywords

Facial expressions; Multimodal integration; Visual and speech based emotion recognition

Indexed keywords

ADAPTIVE INTERFACE; AUDIO SIGNAL; BASIC EMOTIONS; EMOTION RECOGNITION; EMOTIONAL STATE; FACIAL EXPRESSIONS; HUMAN ROBOT INTERACTIONS; HUMAN-MACHINE; INTERACTION INTERFACE; MULTI-MODAL; MULTI-MODAL INTERFACES; MULTIMODAL CUES; MULTIMODAL INTEGRATION; MULTIMODAL RECOGNITION; NATURAL COMMUNICATION; REAL-WORLD; RECOGNITION OF EMOTION; RECOGNITION SYSTEMS; STATE OF THE ART; VISUAL ANALYSIS; VISUAL CUES;

EID: 77950475966     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCEE.2009.192     Document Type: Conference Paper
Times cited : (16)

References (21)
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    • Cascaded emotion classification via psychological emotion dimensions using a large set of voice quality parameters
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  • 17
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    • Why the FLMP should not be applied to McGurk data. or how to better compare models in the bazesian framework
    • J. L. Schwartz. Why the FLMP should not be applied to McGurk data. or how to better compare models in the bazesian framework. In Int. Conf. Audio-Visual Speech Processing, 2003.
    • (2003) Int. Conf. Audio-Visual Speech Processing
    • Schwartz, J.L.1
  • 18
    • 33750564952 scopus 로고    scopus 로고
    • Comparing feature sets for acted and spontaneous speech in view of automatic emotion recognition
    • T. Vogt and E. André. Comparing feature sets for acted and spontaneous speech in view of automatic emotion recognition. In Proc. of IEEE Int. Conf. on Multimedia & Expo, 2005.
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    • Vogt, T.1    André, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.