Beat-Based Rhythm Quantization of MIDI Performances

2025/08/18 by Wachter, Maximilian, Murgul, Sebastian, Heizmann, Michael
#Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Multimedia (cs.MM) #Sound (cs.SD) #electronic engineering #information engineering

paper · doi:10.48550/arxiv.2508.19262

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.

Citations

• End-to-end Piano Performance-MIDI to Score Conversion with Transformers

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