论汉语口语中自发情绪的识别

2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2017-12-01 DOI:10.1109/SPAC.2017.8304324

Wen Huang, Huixin Zhong, Wenfeng Wang, Chunlin Ji

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引用次数: 0

摘要

声情感识别一直是一个活跃的研究领域。本文提出了一个新的汉语情感色彩会话语料库。两个离散的3点尺度情绪原语被用来描述情绪，即效价和唤醒。声学特征提取使用OpenSMILE工具包。对于这些原语的估计，使用支持向量机(SVM)进行分类任务。初步分类结果表明了该方法的有效性。

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On the recognition of spontaneous emotions in spoken Chinese

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.

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2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)

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