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BERT-like Pre-training for Symbolic Piano Music Classification Tasks
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
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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