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MUSDB18-HQ - an uncompressed version of MUSDB18

Rafii, Zafar; Liutkus, Antoine; Stöter, Fabian-Robert; Mimilakis, Stylianos Ioannis; Bittner, Rachel


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    <dct:title>MUSDB18-HQ - an uncompressed version of MUSDB18</dct:title>
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    <dct:description>&lt;p&gt;MUSDB18-HQ is the uncompressed version of the MUSDB18 dataset. It consists of a total of 150 full-track songs of different styles and includes both the stereo mixtures and the original sources, divided between a training subset and a test subset.&lt;/p&gt; &lt;p&gt;Its purpose is to serve as a reference database for the design and the evaluation of source separation algorithms. The objective of such signal processing methods is to estimate one or more sources from a set of mixtures, e.g. for karaoke applications. It has been used as the official dataset in the professionally-produced music recordings task for SiSEC 2018, which is the international campaign for the evaluation of source separation algorithms.&lt;/p&gt; &lt;p&gt;&lt;em&gt;musdb18-hq&lt;/em&gt; contains two folders, a folder with a training set: &amp;ldquo;train&amp;rdquo;, composed of 100 songs, and a folder with a test set: &amp;ldquo;test&amp;rdquo;, composed of 50 songs. Supervised approaches should be trained on the training set and tested on both sets.&lt;/p&gt; &lt;p&gt;All files from the &lt;em&gt;musdb18-hq&lt;/em&gt; dataset are saved as uncompressed wav files. Within each track folder, the user finds&lt;/p&gt; &lt;ul&gt; &lt;li&gt;mixture.wav&lt;/li&gt; &lt;li&gt;drums.wav&lt;/li&gt; &lt;li&gt;bass.wav,&lt;/li&gt; &lt;li&gt;other.wav,&lt;/li&gt; &lt;li&gt;vocals.wav&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;All signals are stereophonic and encoded at 44.1kHz.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt; &lt;p&gt;If you use the MUSDB dataset for your research - Cite the MUSDB18 Dataset&lt;/p&gt; &lt;pre&gt;&lt;code&gt;@misc{MUSDB18HQ, author = {Rafii, Zafar and Liutkus, Antoine and Fabian-Robert St{\"o}ter and Mimilakis, Stylianos Ioannis and Bittner, Rachel}, title = {{MUSDB18-HQ} - an uncompressed version of MUSDB18}, month = dec, year = 2019, doi = {10.5281/zenodo.3338373}, url = {https://doi.org/10.5281/zenodo.3338373} }&lt;/code&gt;&lt;/pre&gt; &lt;p&gt;If compare your results with SiSEC 2018 Participants - Cite the SiSEC 2018 LVA/ICA Paper&lt;/p&gt; &lt;pre&gt;&lt;code&gt;@inproceedings{SiSEC18, author="St{\"o}ter, Fabian-Robert and Liutkus, Antoine and Ito, Nobutaka", title="The 2018 Signal Separation Evaluation Campaign", booktitle="Latent Variable Analysis and Signal Separation: 14th International Conference, LVA/ICA 2018, Surrey, UK", year="2018", pages="293--305" }&lt;/code&gt;&lt;/pre&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;</dct:description>
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