A deep‑learning project that classifies human emotions from speech audio using MFCC and Mel‑Spectrogram features with a CNN‑based model. This project includes real audio samples, feature extraction ...
Abstract: The performance of automatic music recognition models largely depends on the chosen feature extraction method. This study compares two widely used techniquesMFCC and Spectrograms-to ...
Abstract: With the rapid advancement of artificial intelligence and machine learning, speech emotion recognition (SER) holds significant potential across various applications. Despite progress, ...
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