A Feature Selection Algorithm Based on Differential Evolution for English Speech Emotion Recognition
Liya Yue,
Pei Hu,
Shu-Chuan Chu
et al.
Abstract:The automatic identification of emotions from speech holds significance in facilitating interactions between humans and machines. To improve the recognition accuracy of speech emotion, we extract mel-frequency cepstral coefficients (MFCCs) and pitch features from raw signals, and an improved differential evolution (DE) algorithm is utilized for feature selection based on K-nearest neighbor (KNN) and random forest (RF) classifiers. The proposed multivariate DE (MDE) adopts three mutation strategies to solve the… Show more
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