How to use frame based audio features for machine learning

1. Which machine learning model can be best suited for audio to image conversion?
2. How do I extract audio features?
3. Which algorithm is best for audio classification?

Which machine learning model can be best suited for audio to image conversion?

The spectrogram approach that was just described converts each song (or song segment) into a spectrogram: a two-dimensional matrix. To do Machine Learning on two-dimensional input data, the best approach is to use CNNs, Convolutional Neural Networks. CNNs are very well know for being performant on image data.

How do I extract audio features?

Audio feature extraction is a necessary step in audio signal processing, which is a subfield of signal processing. It deals with the processing or manipulation of audio signals. It removes unwanted noise and balances the time-frequency ranges by converting digital and analog signals.

Which algorithm is best for audio classification?

Convolutional Neural Networks (CNNs) have proven very effective in image classification and show promise for audio.