TY - GEN
T1 - On the recognition of spontaneous emotions in spoken Chinese
AU - Zhong, Huixin
AU - Huang, Wen
AU - Ji, Chunlin
AU - Wang, Wenfeng
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
UR - https://www.semanticscholar.org/paper/On-the-recognition-of-spontaneous-emotions-in-Huang-Zhong/ae3155116c10ee220a7b70c2e2a4c80d3426d221
UR - https://ieeexplore.ieee.org/document/8304324
M3 - Chapter in a published conference proceeding
SP - 469
EP - 472
BT - IEEE international conference on security, pattern analysis, and cybernetics
ER -