Speech Emotion Recognition of FSVM Based on FKNN

In the process of calculating the fuzzy class membership function,the distance and relationships between the samples are weighted based on fuzzy K neighbor algorithm.In the experiment,firstly,the dimensions of the speech feature vector are reduced by CCA method.Then,with the results of experiment,the performance of traditional SVM,Fuzzy SVM,Fuzzy SVM based on Fuzzy K neighbor nearest algorithm is compared.