Initial Analysis of the Impact of Emotional Speech on the Performance of Speaker Recognition on New Serbian Emotional Database

In the paper we compared three ML methods (kNN, SVM and MLP) to build the optimal models for speaker recognition for two datasets with different recording conditions. We studied the impact of different speech features on classification performance, with the main focus given to MFCCs. All models were built using neutral speech, but their performance on emotional test data is also analyzed. The achi...