Speech Emotion Recognition Based on FKNN
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Abstract
To solve the limitation that the traditional K-nearest neighbor algorithm may divide a sample to a wrong class, the concept of fuzzy class membership function is used to improve the K-nearest neighbor algorithm. The experiment in speech emotion recognition is implemented and the results show the effectiveness of the improved algorithm.
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