Abstract
Language is an effective way to express human emotions, but emotions are difficult to describe and judge with computers, so it is an important task to analyze their emotions through speech. We summarized the current situation of speech emotion recognition from five aspects: the development of speech emotion recognition, emotion description model, emotion speech database, feature extraction, and emotion recognition algorithm. By summarizing and analyzing these five aspects, we can predict the future development trend of speech emotion recognition and improve recognition accuracy combined with other information for joint analysis. In this paper, we summarized the commonly used emotion database, compared the popular attention mechanism in speech emotion recognition, and finally, proposed the prospect of speech emotion recognition.
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