6 papers · 1 filter
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…
Robust Neural Audio Fingerprinting using Music Foundation Models
Shubhr Singh, Kiran Bhat, Xavier Riley +3
The proliferation of distorted, compressed, and manipulated music on modern media platforms like TikTok motivates the development of more robust audio fingerprinting techniques to…
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…
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…
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…
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…