April 16, 2024, 4:45 a.m. | Yi-Hui Chou, I-Chun Chen, Chin-Jui Chang, Joann Ching, Yi-Hsuan Yang

cs.LG updates on arXiv.org arxiv.org

arXiv:2107.05223v2 Announce Type: replace-cross
Abstract: This article presents a benchmark study of symbolic piano music classification using the masked language modelling approach of the Bidirectional Encoder Representations from Transformers (BERT). Specifically, we consider two types of MIDI data: MIDI scores, which are musical scores rendered directly into MIDI with no dynamics and precisely aligned with the metrical grid notated by its composer and MIDI performances, which are MIDI encodings of human performances of musical scoresheets. With five public-domain datasets of …

abstract article arxiv benchmark bert classification cs.lg cs.mm cs.sd data dynamics eess.as encoder language language modelling modelling music pre-training study tasks training transformers type types

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