Mining Labeled Data from Web-Scale Collections for Vocal Activity Detection in Music

Abstract

This work demonstrates an approach to generating strongly labeled data for vocal activity detection by pairing instrumental versions of songs with their original mixes. Though such pairs are rare, we find ample instances in a massive music collection for training deep convolutional networks at this task, achieving state of the art performance with a… (More)

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@inproceedings{Humphrey2017MiningLD, title={Mining Labeled Data from Web-Scale Collections for Vocal Activity Detection in Music}, author={Eric J. Humphrey and Nicola Montecchio and Rachel M. Bittner and Andreas Jansson and Tristan Jehan}, booktitle={ISMIR}, year={2017} }