CASIA OpenIR  > 模式识别国家重点实验室  > 语音交互
Combining Emotional History Through Multimodal Fusion Methods
Linlin Chao; Jianhua Tao; Minghao Yang; Ya Li
2013
Conference NameAsia-Pacific Signal and Information Processing Association Annual Summit and Conference
Source PublicationAsia-Pacific Signal and Information Processing Association Annual Summit and Conference
Conference Date2013-11
Conference PlaceKaohsiung, Taiwan
Abstract1; Continuity, one of the important characteristics of emotion, implies us that the emotional history may provide useful information for emotion recognition. Meanwhile, classification-based multimodal fusion methods show effective results in multimedia analysis tasks. In this study, two-stage classification method is proposed and emotional history is combined by the support vector machine fusion method. Evaluations on the Audio Sub-Challenge of the 2011 Audio/Visual Emotion Challenge dataset show that: (i) combining emotional history to recognition improves the  accuracy significantly, (ii) classification-based multimodal fusion methods can effectively combine emotional history.
KeywordEmotion Recognition
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/11845
Collection模式识别国家重点实验室_语音交互
Corresponding AuthorLinlin Chao
AffiliationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Linlin Chao,Jianhua Tao,Minghao Yang,et al. Combining Emotional History Through Multimodal Fusion Methods[C],2013.
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