: For a more traditional but still powerful feature, extract Mel-Frequency Cepstral Coefficients. These are excellent for identifying the "timbre" or tone of the instruments in the track. 🧪 4. Implementation Example (Python)

: Feed your Mel-spectrogram into a 2D Convolutional Neural Network (CNN). The early layers will pick up simple textures (like bass hits), while the deeper layers identify complex genre-specific signatures like "hip hop swing".

: Apply a Short-Time Fourier Transform (STFT) to create a spectrogram.

Deep learning models typically don't "listen" to raw waveforms directly. Instead, you convert them into visual representations: : Use the librosa library to load your MP3.