Generating data to train convolutional neural networks for classical music source separation

TitleGenerating data to train convolutional neural networks for classical music source separation
Publication TypeConference Paper
Year of Publication2017
Conference NameProceedings of the 14th Sound and Music Computing Conference
AuthorsMiron, M., Janer J., & Gómez E.
Pagination227-233
Conference Start Date2017
Conference LocationAalto, Finland
preprint/postprint documenthttps://www.researchgate.net/publication/318322107_Generating_data_to_train_convolutional_neural_networks_for_classical_music_source_separation
DOI of final publicationhttps://www.researchgate.net/publication/318322107_Generating_data_to_train_convolutional_neural_networks_for_classical_music_source_separation
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