URMP Dataset
dataset·multimodal music performance·active
Coordinated multi-instrument classical performances with separated audio, assembled video, scores and pitch annotations.
Verified facts
| Official site | https://labsites.rochester.edu/air/projects/URMP/URMP_doc.pdf ↗ |
|---|---|
| Geography | United States |
| size | pieces: 44 |
| scope | Audio-visual analysis of assembled chamber performances. |
| genres | classical chamber music |
| steward | University of Rochester Audio Information Research Lab |
| creators | Bochen Li; Xinzhao Liu; Karthik Dinesh; Zhiyao Duan; Gaurav Sharma |
| languages | not_applicable |
| modalities | mixed WAV; separated WAV; video; MIDI; PDF scores; f0; note annotations |
| geographies | United States |
| access method | Official project download with optional registration form. |
| intended uses | source separation; transcription; performance analysis; audio-visual association |
| related papers | Creating a multi-track classical music performance dataset for multi-modal music analysis |
| annotation method | Frame-level pitch trajectories, note transcriptions and score files supplied per track. |
| collection method | Instrument parts recorded separately and coordinated into ensemble performances. |
| current availability | Official documentation and download route available. |
| us market scope basis | Publicly available or materially used in US-facing music/audio-AI research. |
| limitations biases disputes | Small, classical-only corpus assembled from separately recorded parts. |
| related models tools benchmarks | CocoChorales |
Current
| generated using training data (by) | CocoChorales |
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