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, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results