Music Transcription by Deep Learning with Data and "Artificial Semantic" Augmentation

December 08, 2017 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors Vladyslav Sarnatskyi, Vadym Ovcharenko, Mariia Tkachenko, Sergii Stirenko, Yuri Gordienko, Anis Rojbi arXiv ID 1712.03228 Category cs.SD: Sound Cross-listed cs.LG, eess.AS Citations 1 Venue arXiv.org Last Checked 4 months ago
Abstract
In this progress paper the previous results of the single note recognition by deep learning are presented. The several ways for data augmentation and "artificial semantic" augmentation are proposed to enhance efficiency of deep learning approaches for monophonic and polyphonic note recognition by increase of dimensions of training data, their lossless and lossy transformations.
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