Audio Deep Learning

Inspiration We wanted to write a bot that essentially could take some sort of data and created something ‘creative’ from it. What it does Takes Royalty-free MP3s Convert MP3 to WAV to numpy array Creates an LSTM RNN training the numpy array ‘unsupervised’ NEVER FINISH- Convert generated numpy array back into a wav file. It’s pretty much stuck at ‘proof of concept’ How I built it First off, we used a curl script to download 600 songs, then we processed all that data using python to convert it into a WAV and numpy array. Afterwards, we used Tensorflow and Keras to create a LSTM model to train the data on “itself” per se and essentially have some sort of method of teaching it unsupervised. Challenges I ran into LOTS OF…

Link to Full Article: Audio Deep Learning

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