On the recognition of spontaneous emotions in spoken Chinese

机译：论汉语口语中自然情感的识别

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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：声音情感识别一直是活跃的研究领域。本文提出了一个新的中国情感色彩的语料库。两个离散的三点缩放的情绪原语用于描述情绪，即价和唤醒。使用OpenSMILE工具包进行声学特征提取。为了估计这些原语，将支持向量机（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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来源
《2017 International Conference on Security, Pattern Analysis, and Cybernetics》|2017年|469-472|共4页
会议地点 Shenzhen(CN)
作者
Wen Huang; Huixin Zhong; Wenfeng Wang; Chunlin Ji;
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作者单位

Kuang-Chi Institute of Advanced Technology, Shenzhen, China;

Kuang-Chi Institute of Advanced Technology, Shenzhen, China;

Kuang-Chi Institute of Advanced Technology, Shenzhen, China;

Kuang-Chi Institute of Advanced Technology, Shenzhen, China;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Support vector machines; Feature extraction; Emotion recognition; Acoustics; Computational modeling; Training; Kernel;

机译：支持向量机;特征提取;情感识别;声学;计算建模;训练;内核;;

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专利

1. Assessment of spontaneous emotional speech database toward emotion recognition: Intensity and similarity of perceived emotion from spontaneously expressed emotional speech [J] . Arimoto Y., Ohno S., Iida H. Acoustical science and technology . 2011,第1期

机译：评估针对情绪识别的自发情绪语音数据库：自发表达情绪语音时感知到的情绪的强度和相似性
2. Assessment of spontaneous emotional speech database toward emotion recognition: Intensity and similarity of perceived emotion from spontaneously expressed emotional speech [J] . Yoshiko Arimoto, Sumio Ohno, Hitoshi Iida Acoustical science and technology . 2011,第1期

机译：评估自发情绪语音数据库对情绪识别的作用：自发表达情绪语音时感知到的情绪的强度和相似性
3. Audio Feature Space Analysis for Emotion Recognition from Spoken Sentences [J] . Lukasz SMIETANKA, Tomasz MAKA Archives of acoustics . 2021,第2期

机译：口语句子情感识别的音频特征空间分析
4. On the recognition of spontaneous emotions in spoken Chinese [C] . Wen Huang, Huixin Zhong, Wenfeng Wang, International Conference on Security, Pattern Analysis, and Cybernetics . 2017

机译：论汉语口语中自发情绪的认识
5. The role of lexical tone in spoken word recognition of Chinese [D] . Lee, Yu Ju 2008

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6. DEEP MULTIMODAL LEARNING FOR EMOTION RECOGNITION IN SPOKEN LANGUAGE [O] . Yue Gu, Shuhong Chen, Ivan Marsic -1

机译：语音识别中的深度多模态学习
7. EMOTION RECOGNITION IN STANDARD SPOKEN ASSAMESE LANGUAGE USING SUPPORT VECTOR MACHINE AND ENSEMBLE MODEL [O] . Nupur Choudhury, Uzzal Sharma 2021

机译：使用支持向量机和集合模型的标准口语assamene语言中的情感认同
8. Dialog Structure and Plan Recognition in Spontaneous Spoken Dialog [R] . Young, S. R. 1993

机译：自发口语对话中的对话结构与计划识别

On the recognition of spontaneous emotions in spoken Chinese

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