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Dataset Open Access

VocalSet: A Singing Voice Dataset

Wilkins, Julia; Prem Seetharaman; Alison Wahl; Bryan Pardo

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Wilkins, Julia</dc:creator>
  <dc:creator>Prem Seetharaman</dc:creator>
  <dc:creator>Alison Wahl</dc:creator>
  <dc:creator>Bryan Pardo</dc:creator>
  <dc:description>We present VocalSet, a singing voice dataset consisting of 10.1 hours of monophonic recorded audio of professional singers demonstrating both standard and extended vocal techniques on all 5 vowels. Existing singing voice datasets aim to capture a focused subset of singing voice characteristics, and generally consist of just a few singers. VocalSet contains recordings from 20 different singers (9 male, 11 female) and a range of voice types.  VocalSet aims to improve the state of existing singing voice datasets and singing voice research by capturing not only a range of vowels, but also a diverse set of voices on many different vocal techniques, sung in contexts of scales, arpeggios, long tones, and excerpts.

We have included two .rtf files test_singers and train_singers in which you will find a list of the singers we used to train and test the majority of our deep learning models on.</dc:description>
  <dc:subject>singing dataset</dc:subject>
  <dc:subject>music information retrieval</dc:subject>
  <dc:subject>vocal technique</dc:subject>
  <dc:subject>vowel classification</dc:subject>
  <dc:subject>sung voice</dc:subject>
  <dc:title>VocalSet: A Singing Voice Dataset</dc:title>
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