Annotated-VocalSet: A Singing Voice Dataset

<p>This dataset provides annotations for the <a href="https://doi.org/10.5281/zenodo.1442513">VocalSet dataset</a>, which is available online at</p> <pre><a href="https://doi.org/10.5281/zenodo.1442513">https://doi.org/10.5281/zenodo.1442513</a></pre> <p>.</p> <p>The annotations generated for the VocalSet audio files include fundamental frequency contour, note onset, note offset, the transition between notes, note F0, note duration, Midi pitch, and lyrics.</p> <p><a href="https://doi.org/10.5281/zenodo.1442513">VocalSet</a> consists of more than 10 hours of monophonic recorded audio of professional singers in a variety of vocal techniques (n = 17) and several singers (m = 20) with several WAV files (p = 3560). However, although several categories, including techniques, singers, tempo, and loudness, are considered in the dataset, the sung notes were not annotated. Therefore, this dataset aims to annotate VocalSet to make it a more powerful dataset for researchers.</p> <p>Details of the dataset are provided in the following academic journal paper.</p> <p><a href="https://www.mdpi.com/2076-3417/12/18/9257">Faghih, Behnam, and Joseph Timoney. 2022. &quot;Annotated-VocalSet: A Singing Voice Dataset&quot;&nbsp;<em>Applied Sciences</em>&nbsp;12, no. 18: 9257. https://doi.org/10.3390/app12189257</a></p> <p>Please use the above paper to cite this dataset.</p>