Skip to main content
zenodoopen

N20EMv2 dataset for automatic music transcription from multimodal singing

<p>N20EMv2 dataset for multimodal automatic music transcription from multimodal singing, presented in our TOMM 2024 paper, Automatic Lyric Transcription and Automatic Music Transcription from Multimodal Singing. This dataset contains recordings of two modalities: audio and video.&nbsp;</p> <p>Our paper is available at: https://dl.acm.org/doi/10.1145/3651310.</p> <p>Code is available at: https://github.com/guxm2021/SVT_SpeechBrain</p> <p>Please cite our work as:</p> <pre>@article{gu2024automatic, title={Automatic Lyric Transcription and Automatic Music Transcription from Multimodal Singing}, author={Gu, Xiangming and Ou, Longshen and Zeng, Wei and Zhang, Jianan and Wong, Nicholas and Wang, Ye}, journal={ACM Transactions on Multimedia Computing, Communications and Applications}, publisher={ACM New York, NY}, year={2024} }</pre>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
8
Access
20
Reuse readiness
8
Engagement
0

Topics