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A study on the combination of emotion keywords to improve the negative emotion recognition accuracy

机译:情绪关键词组合提高负面情绪识别准确度的研究

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The speech emotion recognition is one of the important research topics on the investigation of human emotion. Most of the speech emotion recognition researches used only the speech signal as the input. The recognition rate in this case is generally no high enough for practical applications. In this paper, we proposed a method which fuses the results of the emotion keyword analysis and speech emotion recognition to improve the recognition rate for recognizing negative emotion in the speech. The results revealed that our proposed method can slightly improve the correct recognition of anger emotion but can drastically reduce the false categorization of happy emotion to to anger.
机译:语音情感识别是人类情感研究的重要研究课题之一。大多数语音情感识别研究仅使用语音信号作为输入。在这种情况下,识别率通常不足以用于实际应用。本文提出了一种融合情感关键词分析和语音情感识别的方法,以提高识别语音中负面情绪的识别率。结果表明,我们提出的方法可以稍微提高对愤怒情绪的正确识别,但可以大大减少快乐情绪对愤怒的错误分类。

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