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A Study on Emotional Feature Analysis and Recognition in Speech Signal

机译:语音信号情感特征分析与识别研究

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摘要

This paper analysis the feather of the time, amplitude, pitch and formant construction involved such four emotions as happiness, anger, surprise and sorrow. Through comparison with non-emotional quiet speech signal, we sum up the distribution law of emotional feather including different emotional speech. Nine emotional features were extracted form emotional speech for recognizing emotion. We introduce two emotional recognition methods based on principal component analysis and the results show that these method can provide an effective solution to emotional recognition.
机译:本文分析了时间,幅度,音调和共振峰构造的羽毛,涉及幸福,愤怒,惊奇和悲伤四种情绪。通过与非情绪安静语音信号的比较,总结出包括不同情绪语音在内的情绪羽毛的分布规律。从情感言语中提取了九种情感特征来识别情感。在主成分分析的基础上,我们介绍了两种情感识别方法,结果表明,这些方法可以为情感识别提供有效的解决方案。

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