Abstract
In order to overcome the problem that the traditional Mandarin emotion recognition method does not optimise the result of emotion classification, which leads to low accuracy and recognition efficiency, a high-precision Mandarin emotion recognition method based on local optimisation algorithm is proposed. The emotion database of Putonghua is constructed by the dimension emotion model. On this basis, the emotion signals of Putonghua speech are pre-processed and extracted. Through clustering analysis, emotion features are statistically calculated and classified, and local optimisation algorithm is used to optimise the classification results to achieve high-precision recognition of Mandarin emotion. The experimental results show that compared with the traditional method, the accuracy and recognition efficiency of the proposed method have been improved to a certain extent, and the shortest recognition time is only 19 ms.
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