Best features for music classifications
I'm trying to develop an application to classify music in to probably favorite or not probably favorite by training a Neural network from music which are already marked as favorite by user himself. I never done audio analysis before so I know almost nothing about it. To make this an accurate classification model what features do I need to include in my dataset of music. eg:- decibel values , frequency values, length of the audio
thank you
Spectrograms are a useful technique for visualising the spectrum of frequencies of a sound and how they vary during a very short period of time. You can use a similar technique known as Mel-Frequency Cepstral Coefficients (MFCC) as features for the dataset.
You can use Librosa's mfcc() function which generates an MFCC from time series audio data to make the task a lot easier
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