| Paper ID | AUD-10.4 |
| Paper Title |
ON THE PREPARATION AND VALIDATION OF A LARGE-SCALE DATASET OF SINGING TRANSCRIPTION |
| Authors |
Jun-You Wang, Jyh-Shing Roger Jang, National Taiwan University, Taiwan |
| Session | AUD-10: Music Information Retrieval and Music Language Processing 2: Singing Voice |
| Location | Gather.Town |
| Session Time: | Wednesday, 09 June, 14:00 - 14:45 |
| Presentation Time: | Wednesday, 09 June, 14:00 - 14:45 |
| Presentation |
Poster
|
| Topic |
Audio and Acoustic Signal Processing: [AUD-MIR] Music Information Retrieval and Music Language Processing |
| IEEE Xplore Open Preview |
Click here to view in IEEE Xplore |
| Virtual Presentation |
Click here to watch in the Virtual Conference |
| Abstract |
This paper proposes a large-scale dataset for singing transcription, along with some methods for fine-tuning and validating its contents. The dataset is named MIR-ST500, which consists of more than 160,000 notes from 500 pop songs. To create this large-scale dataset, we set some labeling criteria and ask non-experts to label notes. We also perform some adjustments on the annotation to correct minor errors. Finally, to validate the dataset, we train a singing transcription model on MIR-ST500 dataset and evaluate it on various datasets. The result shows that we can certainly construct a better singing transcription model for various purposes using MIR-ST500, which is properly labeled and validated. |
