CASIA OpenIR  > 模式识别国家重点实验室  > 语音交互
CHEAVD: a Chinese natural emotional audio–visual database
Ya Li; Jianhua Tao; Linlin Chao; Wei Bao; Yazhu Liu
Source PublicationJournal of Ambient Intelligence and Humanized Computing
2016
Issue4Pages:1-12
Other AbstractThis paper presents a recently collected natural, multi-modal, rich-annotated emotion database, CASIA Chinese Natural Emotional Audio-Visual Database (CHEAVD), which aims to provide a basic resource for the research on multimodal multimedia interaction. This corpus contains 140 minutes emotional segments extracted from films, TV plays and talk shows. 238 speakers, aging from child to elderly, constitute broad coverage of speaker diversity, which makes this database a valuable addition to the existing emotional databases. In total, 26 non-prototypical emotional states, including the basic six, are labeled by four native speakers. In contrast to other existing emotional databases, we provide multi-emotion labels and fake/suppressed emotion labels. To our best knowledge, this database is the first large-scale Chinese natural emotion corpus dealing with multi-modal and natural emotion, and free to research use. Automatic emotion recognition with Long Short-Term Memory Recurrent Neural Networks (LSTM-RNN) is performed on this corpus. Experiments show that an average accuracy of 56% could be achieved on six major emotion states.
KeywordEmotion Recognition
Indexed BySCI
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/19835
Collection模式识别国家重点实验室_语音交互
Recommended Citation
GB/T 7714
Ya Li,Jianhua Tao,Linlin Chao,等. CHEAVD: a Chinese natural emotional audio–visual database[J]. Journal of Ambient Intelligence and Humanized Computing,2016(4):1-12.
APA Ya Li,Jianhua Tao,Linlin Chao,Wei Bao,&Yazhu Liu.(2016).CHEAVD: a Chinese natural emotional audio–visual database.Journal of Ambient Intelligence and Humanized Computing(4),1-12.
MLA Ya Li,et al."CHEAVD: a Chinese natural emotional audio–visual database".Journal of Ambient Intelligence and Humanized Computing .4(2016):1-12.
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