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In this progress paper the previous results of the single note recognition bydeep learning are presented. The several ways for data augmentation and"artificial semantic" augmentation are proposed to enhance efficiency of deeplearning approaches for monophonic and polyphonic note recognition by increaseof dimensions of training data, their lossless and lossy transformations.

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