On the recognition of spontaneous emotions in spoken Chinese

Huixin Zhong, Wen Huang, Chunlin Ji, Wenfeng Wang

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding


Acoustic emotion recognition has been an active research area. This paper presents a new Chinese corpus of emotionally colored conversations. Two discrete 3-point scaled emotion primitives are used to describe emotions, namely valence and arousal. Acoustic feature extraction is carried out using OpenSMILE toolkit. For the estimation of these primitives, Support Vector Machine (SVM) is used for the classification task. Preliminary classification results show the effectiveness of the proposed method.
Original languageEnglish
Title of host publicationIEEE international conference on security, pattern analysis, and cybernetics
Publication statusPublished - 2017


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