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arXiv · 2508.19262

Beat-Based Rhythm Quantization of MIDI Performances

Maximilian Wachter·Sebastian Murgul·Michael Heizmann
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Abstract

We propose a transformer-based rhythm quantization model that incorporates beat and downbeat information to quantize MIDI performances into metrically-aligned, human-readable scores. We propose a beat-based preprocessing method that transfers score and performance data into a unified token representation. We optimize our model architecture and data representation and train on piano and guitar performances. Our model exceeds state-of-the-art performance based on the MUSTER metric.

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Maximilian Wachter, Sebastian Murgul, Michael Heizmann. 2025-08-18. Beat-Based Rhythm Quantization of MIDI Performances. https://arxiv.org/abs/2508.19262

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