ENTITY Kamorudeen Amuda

Kamorudeen Amuda

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RESEARCH · CL_10185 · Apr 30 · 04:00

LSTM model achieves 99% accuracy in speech emotion recognition

Researchers have developed a novel speech emotion recognition system utilizing Mel-Frequency Cepstral Coefficients (MFCCs) for feature extraction and a Long Short-Term Memory (LSTM) neural network for classification. Th…