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On the recognition of spontaneous emotions in spoken Chinese

机译:论汉语口语中自发情绪的认识

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摘要

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.
机译:声学情感识别一直是活跃的研究区。本文介绍了一个新的情感彩色谈话语料库。两个离散的3分缩放的情感基元用于描述情绪,即价值和唤醒。声学特征提取使用开放式工具包进行。为了估计这些基元,支持向量机(SVM)用于分类任务。初步分类结果表明了该方法的有效性。

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