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cs.SD2026

Equivariant Music Transformer

Zixun Guo, Simon Dixon

Humans recognize a musical passage even when it is shifted in time or transposed in pitch, indicating a notion of equivariance in the representation space. Our analysis, however, s…

cs.SD2026

Velocity Prediction in Automatic Guitar Transcription

Jackson Loth, Xavier Riley, Simon Dixon +1

Automatic Music Transcription (AMT) models have achieved a high level of success in polyphonic transcription of various instruments. Velocity, typically a measure of note intensity…

cs.SD2025

Enhanced Automatic Drum Transcription via Drum Stem Source Separation

Xavier Riley, Simon Dixon

Automatic Drum Transcription (ADT) remains a challenging task in MIR but recent advances allow accurate transcription of drum kits with up 5 classes - kick, snare, hi-hats, toms an…

cs.SD2024

GAPS: A Large and Diverse Classical Guitar Dataset and Benchmark Transcription Model

Xavier Riley, Zixun Guo, Drew Edwards +1

We introduce GAPS (Guitar-Aligned Performance Scores), a new dataset of classical guitar performances, and a benchmark guitar transcription model that achieves state-of-the-art per…

cs.SD2024

MIDI-to-Tab: Guitar Tablature Inference via Masked Language Modeling

Drew Edwards, Xavier Riley, Pedro Sarmento +1

Guitar tablatures enrich the structure of traditional music notation by assigning each note to a string and fret of a guitar in a particular tuning, indicating precisely where to p…

cs.SD2024

Reconstructing the Charlie Parker Omnibook using an audio-to-score automatic transcription pipeline

Xavier Riley, Simon Dixon

The Charlie Parker Omnibook is a cornerstone of jazz music education, described by pianist Ethan Iverson as "the most important jazz education text ever published". In this work we…