Name
Abstract | ||
|---|---|---|
Piano transcription is a classic problem in music information retrieval. More and more transcription methods based on deep learning have been proposed in recent years. In 2019, Google Brain published a larger piano transcription dataset, MAESTRO. On this dataset, Onsets and Frames transcription approach proposed by Hawthorne achieved a stunning onset F1 score of 94.73%. Unlike the annotation metho... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.23919/DAFx51585.2021.9768276 | 2021 24th International Conference on Digital Audio Effects (DAFx) |
Keywords | DocType | ISBN |
Deep learning,Annotations,Brain modeling,Internet,Music information retrieval | Conference | 978-3-200-08378-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xianke Wang | 1 | 0 | 2.03 |
| Wei Xu | 2 | 4 | 11.47 |
| Juanting Liu | 3 | 0 | 0.68 |
| Weiming Yang | 4 | 0 | 0.68 |
| Cheng Wenqing | 5 | 38 | 11.20 |