Emotion recognition in speech using neural networks
Emotion recognition in speech using neural networks
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DOI：
10.1007/s005210070006
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发表时间：
2000-01-01
影响因子：
6
通讯作者：
Nakatsu, R
中科院分区：
文献类型：
--
作者：
Nicholson, J;Takahashi, K;Nakatsu, R
语音中的情感识别是迄今为止研究很少的课题，在本文中，我们讨论了为什么语音中的情感识别是一个重要且适用的研究课题，并提出了一种使用一类合一神经网络进行情感识别的系统。通过使用音素平衡单词的大型数据库，我们的系统与说话者和上下文无关。当测试八种情绪时，我们的识别率约为 50%。
Emotion recognition in speech is a topic on which little research has been done to-date, In this paper we discuss why emotion recognition in speech is a significant and applicable research topic, and present a system for emotion recognition using one-class-in-one neural networks. By using a large database of phoneme balanced words, our system is speaker- and context-independent. We achieve a recognition rate of approximately 50% when testing eight emotions.