Abstract
Minnanese is a representative branch of Fujian dialect.Due to objective reasons such as the late start of the research on emotion recognition of Minnanese speech and the immaturity of technology, there are few research achievements in this area, especially in the area of corpus resources of Minnanese language. Based on the establishment of Minnanese language emotion corpus, soft-Max is adopted as the algorithm of emotion recognition, and emotion recognition is carried out based on CNN model and BLSTM model. In view of the global and temporal characteristics of Minnanese language corpus, an algorithm model based on CNN-BLSTM fusion feature is proposed.Experimental results show that CNN-MOBLSTM fusion feature model is superior to CNN model and BLSTM model in recognition of Minnanese emotion, and it is an effective algorithm model.
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