research data . Dataset . 2017

Bach10 Separation Smc2017

Marius Miron;
Open Access
  • Published: 28 Feb 2017
  • Publisher: Zenodo
Abstract
<p>The Bach10 Separation SMC2017 dataset is derived from the Bach10 dataset, which contains ten pieces of Bach chorales along the scores.<br> We separate the audio files in the original dataset and in the dataset we synthesized with Sibelius (https://zenodo.org/record/321361#.WLW40t-i7J8), using the approaches presented in this paper:<br> Marius Miron, Jordi Janer, Emilia Gomez, "Generating data to train convolutional neural networks for low latency classical music source separation", Sound and Music Computing Conference 2017</p> <p>The dataset contains the separated audio files along the computed measures which give the quality of separation: SDR, SIR, SAR, com...
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Persistent Identifiers

doi: 10.5281/zenodo.344499 , 10.5281/zenodo.780135

Subjects
free text keywords: source separation, classical music, neural networks
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Zenodo
Dataset . 2017
Provider: Datacite
Zenodo
Dataset . 2017
Provider: Datacite
Zenodo
Dataset . 2017
Provider: Zenodo
Zenodo
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