0.2 Music classification by genre: system diagram

Music Matcher takes a .wav file, analyzes it, and outputs a music genre. Our system breaks up a .wav file into twenty .5 second windows. From here, the DSP functions are called for each of the twenty windows. Each one of these twenty windows is analyzed by seven DSP functions:

• Bandwidth
• Power Spectral Density
• Total Power (L-2 norm / L-infinity norm)
• Spectrogram Smoothness
• High Pass Filter
• Beat Detection
• Frequency Cutoff

First, the neural network is trained with 120 songs, 20 of each genre. After we train the neural network, we give it songs it has never seen, and the output of the system is the classification of genre that the neural network determines.