Based on fuzzy class membership function, traditional kernel discriminant analysis (KDA) algorithm is improved. The speech emotion recognition on fuzzy kernel discriminant analysis algorithm is executed. In the experiment, firstly, the characteristic parameters are fused with VQ method. Then the performance of KDA and FKDA are compared on the results of experiment.