N20EM dataset for multimodal lyric transcription

<p>N20EM dataset for multimodal lyric transcription, proposed in our ACM MM 2022 paper, MM-ALT: A Multimodal Automatic Lyric Transcription System. This dataset contains recordings of three modalities: audio, video, and IMU motion signal.&nbsp;</p> <p>Our paper's camera ready version:&nbsp;https://arxiv.org/abs/2207.06127</p> <p>Project website:&nbsp;https://n20em.github.io/</p> <p><strong>Note:&nbsp;</strong></p> <ol> <li><strong>Once you download the dataset, we assume you have read and agreed with the <a href="https://drive.google.com/file/d/1te7AxPTSGAdyqqNtkfjFbtCv4ydwgcOF/view?usp=sharing">Terms and Conditions</a>.</strong></li> <li><strong>Commercial usage is strictly prohibited.</strong></li> </ol> <p>Please cite our work as:</p> <p>@inproceedings{gu2022mm, &nbsp;title={MM-ALT: A multimodal automatic lyric transcription system}, &nbsp;author={Gu, Xiangming and Ou, Longshen and Ong, Danielle and Wang, Ye}, &nbsp;booktitle={Proceedings of the 30th ACM International Conference on Multimedia}, &nbsp;pages={3328--3337}, &nbsp;year={2022} }</p> <p>&nbsp;</p>