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20232026
most citedLoop Copilot: Conducting AI Ensembles for Music Generation and Iterative Editing

2 citations · 3 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.SD2026

Learning Jazz Pianist Style with Cross-Attention Conditioning

Drew Edwards, Akira Maezawa, Simon Dixon

Jazz pianists develop distinctive traits that experienced listeners can often identify within seconds, yet the features underlying this recognition resist formal description. We st…

cs.SD2026

SKY-Piano: A Multimodal Piano Performance Dataset

Joonhyung Bae, Dawon Park, Taegyun Kwon +10

Music information retrieval research on piano performance increasingly involves diverse modalities of data and annotations beyond audio and MIDI. We present SKY-Piano, a multimodal…

cs.SD2026

PiAnnotate: A Web Annotation Tool for Piano Fingering, with a Diagnostic Probe

Joonhyung Bae, Kirak Kim, Hyeyoon Cho +8

Piano fingering shapes how a passage can be played, yet it is difficult to label after a performance. An annotator must decide which finger produced each note while reconciling the…

cs.SD2024

A Data-Driven Analysis of Robust Automatic Piano Transcription

Drew Edwards, Simon Dixon, Emmanouil Benetos +2

Algorithms for automatic piano transcription have improved dramatically in recent years due to new datasets and modeling techniques. Recent developments have focused primarily on a…

cs.SD2023★ 2 cited

Loop Copilot: Conducting AI Ensembles for Music Generation and Iterative Editing

Yixiao Zhang, Akira Maezawa, Gus Xia +2

Creating music is iterative, requiring varied methods at each stage. However, existing AI music systems fall short in orchestrating multiple subsystems for diverse needs. To addres…