walkthrough.html

 
<h5>Overview</h5>
<div>Though there are an increasing number of deep learning tutorials to be found, this walkthrough aims to fill a void in the music signal processing space. Here, we provide source code and compatible data that will hopefully get you, curious reader, up and running with deep learning in a pair of music processing tasks: monophonic instrument classification and chroma learning.</div>
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<div>The remainder of this guided tour is organized as follows:</div>
<div>
<ul>
    <li><a href="#source_code">Source Code</a></li>
    <li><a href="#data">Data</a></li>
    <li><a href="#config">System Configuration</a></li>
<ul>
    <li><a href="#troubleshooting">Troubleshooting</a></li>
</ul>
    <li><a href="#examples"></a></li>
<ul>
    <li>Monophonic Instrument Classification</li>
    <li><a href="#inst_prob">Problem Formulation</a></li>
    <li>Network</li>
    <li>Training</li>
    <li>Running</li>
</ul>
    <li>Learning a Chroma Transform from DFT Coefficients</li>
<ul>
    <li>Problem Formulation</li>
    <li>Network</li>
    <li>Training</li>
    <li>Running</li>
</ul>
    <li>Additional Resources</li>
</ul>
</div>

<div>
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</div>

<h5 id="source_code">Source Code</h5>
<div>All code snippets contained on this page are linked from a <a href="https://bitbucket.org/ejhumphrey/dltutorial/overview">git repository</a> hosted on BitBucket. The first thing you'll want to do is clone this repository locally with something like the following from the command line:</div>
&nbsp;
<code>
$ cd /some/directory/
$ git clone https://ejhumphrey@bitbucket.org/ejhumphrey/dltutorial.git
$ cd dltutorial
</code>
&nbsp;
<div>We'll assume for the remainder of the walkthrough that you are operating out of this directory.</div>

<div>
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</div>

<h5 id="data">Data</h5>
For your machine learning enjoyment, we provide two datasets that will work seamlessly with the provided source code:
<ul>
    <li>Chord Annotated Magnitude DFT Coefficients: <a title="Chord Dataset" href="http://files.nyu.edu/ejh333/public/chord_dataset.tgz">tar</a></li>
    <li>Monophonic Instrument Features: tar</li>
</ul>
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<h5>Installation</h5>
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<h5>Troubleshooting</h5>
<div>
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</div>
<h5>Additional Resources</h5>
<div> If you, for any reason, find yourself looking for more information, insight, or references, we strongly recommend exploring the following:</div>
</div>
<div>
<ul>
    <li>Theano Deep Learning Tutorials (Python): <a href="http://deeplearning.net/software/theano/tutorial/" target="_blank">link</a></li>
    <li>Stanford Deep Learning Tutorial (Matlab): <a href="http://ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial" target="_blank">link</a></li>
</ul>
</div>
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