Analyzing dialogue data for real-world emotional speech classification
Analyzing dialogue data for real-world emotional speech classification
复制标题
分析对话数据以进行现实世界的情感语音分类
DOI：
10.21437/interspeech.2006-503
复制
发表时间：
2006
期刊：
影响因子：
--
通讯作者：
T. Irino
中科院分区：
文献类型：
--
作者：
R. Nisimura;Souji Omae;Hideki Kawahara;T. Irino
为了获得对人机对话中用户情感的理解，对真实的世界中的对话话语进行了分析。这项工作包括三个主要步骤。(1)使用日本儿童的声音，这是通过公共口语对话系统的现场测试收集的16种基本情绪的实际情况进行了评估。(2)通过因子分析得出两个因子。这些因素被定义为代表“愉快”和“讨厌”情绪的基本心理因素。(3)研究了这些因素与物理声学特征之间的关系，以建立对话系统感知用户心理状态的能力。在愉快和讨厌的情绪之间的实验区分，支持向量机（SVM）的11个声学特征的分类儿童的话语达到了98.8%的正确率。索引词：情感言语、分类、因素分析、对话系统、真实的世界
In order to obtain an understanding of the user’s emotion in human-machine dialogues, an analysis of dialogical utterances in the real world was performed. This work comprises three major steps. (1) The actual conditions of 16 basic emotions were evaluated using Japanese child voices, which were collected through the field test of the public spoken dialogue system. (2) Two factors were derived by a factor analysis. The factors were defined as fundamental psychological factors representing “delightful” and “hateable” emotions. (3) The relationships between the factors and the physical acoustic features were investigated to establish a capability to sense a user’s mental state for the dialogue system. In the experimental discriminations between the delightful and hateable emotions, a correct rate of 98.8% was achieved in classifying child’s utterances by the SVM (Support Vector Machine) with 11 acoustic features. Index Terms: emotional speech, classification, factor analysis, dialogue system, real world
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DOI：
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发表时间：
2005
期刊：
Proceedings of Interspeech 2005
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DOI：
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发表时间：
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期刊：
Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2004) Vol.I
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