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J. Burgoyne

4 papers hereh-index 191.5k citations86 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.SD2
  • eess.AS2

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedContrastive Learning of Musical Representations

33 citations · 33 across the 4 of their papers we have counts for

collaborators

4 papers

eess.AS2026

PHOTON: Non-Invasive Optical Tracking of Key-Lever Motion in Historical Keyboard Instruments

Noah Jaffe, John Ashley Burgoyne

This paper introduces PHOTON (PHysical Optical Tracking of Notes), a non-invasive optical sensing system for measuring key-lever motion in historical keyboard instruments. PHOTON t…

cs.SD2026

Melodic contour does not cluster: Reconsidering contour typology

Bas Cornelissen, Willem Zuidema, John Ashley Burgoyne +1

How to describe the shape of a melodic phrase? Scholars have often relied on typologies with a small set of contour types. We question their adequacy: we find no evidence that phra…

eess.AS2025

Musical Source Separation Bake-Off: Comparing Objective Metrics with Human Perception

Noah Jaffe, John Ashley Burgoyne

Music source separation aims to extract individual sound sources (e.g., vocals, drums, guitar) from a mixed music recording. However, evaluating the quality of separated audio rema…

cs.SD2021★ 33 cited

Contrastive Learning of Musical Representations

Janne Spijkervet, John Ashley Burgoyne

While deep learning has enabled great advances in many areas of music, labeled music datasets remain especially hard, expensive, and time-consuming to create. In this work, we intr…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.