AcapellaBot

Update [2020-05-20]: For better, modern acapella extraction / source separation, I would recommend Demucs, Spleeter, or PhonicMind (commercial product). This project worked reasonably well when I wrote it in 2017, but the current state of the art is much better :)

Original README continues below.

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Isolating vocals from music with a Convolutional Neural Network. Blog post is here.

<strong>To Use:</strong>

<ol> <li><a href="https://github.com/madebyollin/acapellabot/archive/master.zip">Download the repo</a></li> <li>Install the latest versions of Theano, <a href="https://keras.io/">Keras</a>, <a href="https://github.com/librosa/librosa">librosa</a>, and <a href="http://www.h5py.org/">h5py</a> on Python 3.</li> <li>Set your dimension ordering to <code>tf</code> in <code>~/keras/keras.json</code>:

{
    "backend": "theano",
    "image_dim_ordering": "tf"
}

</li> <li>Run <code>python acapellabot.py song.mp3</code></li> </ol>

Enjoy ❤