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
Li, Ya1; Tao, Jianhua1,2,3; Chao, Linlin1; Bao, Wei1,4; Liu, Yazhu1,4
Source PublicationJOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
2017-11-01
Volume8Issue:6Pages:913-924
SubtypeArticle
AbstractThis paper presents a recently collected natural, multimodal, 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 min 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 multimodal 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.
KeywordAudio-visual Database Natural Emotion Corpus Annotation Lstm Multimodal Emotion Recognition
WOS HeadingsScience & Technology ; Technology
DOI10.1007/s12652-016-0406-z
WOS KeywordSOCIAL-CONSEQUENCES ; RECOGNITION ; SPEECH ; EXPRESSION ; FEATURES ; MODEL
Indexed BySCI ; SSCI
Language英语
Funding OrganizationNational HighTech Research and Development Program of China (863 Program)(2015AA016305) ; National Natural Science Foundation of China (NSFC)(61305003 ; Strategic Priority Research Program of the CAS(XDB02080006) ; Major Program for the National Social Science Fund of China(13ZD189) ; 61425017)
WOS Research AreaComputer Science ; Telecommunications
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Information Systems ; Telecommunications
WOS IDWOS:000412897800009
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20742
Collection模式识别国家重点实验室_语音交互
Affiliation1.Chinese Acad Sci, NLPR, Inst Automat, Beijing, Peoples R China
2.Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Inst Automat, Beijing, Peoples R China
3.Chinese Acad Sci, Sch Comp & Control Engn, Grad Univ, Beijing, Peoples R China
4.Jiangsu Normal Univ, Inst Linguist Sci, Xuzhou, Jiangsu, Peoples R China
Recommended Citation
GB/T 7714
Li, Ya,Tao, Jianhua,Chao, Linlin,et al. CHEAVD: a Chinese natural emotional audio-visual database[J]. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING,2017,8(6):913-924.
APA Li, Ya,Tao, Jianhua,Chao, Linlin,Bao, Wei,&Liu, Yazhu.(2017).CHEAVD: a Chinese natural emotional audio-visual database.JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING,8(6),913-924.
MLA Li, Ya,et al."CHEAVD: a Chinese natural emotional audio-visual database".JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING 8.6(2017):913-924.
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