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. Our paper's camera ready version: https://arxiv.org/abs/2207.06127 Project website: https://n20em.github.io/ Note: Once you download the dataset, we assume you have read and agreed with the Terms and Conditions. Commercial usage is strictly prohibited. Please cite our work as: @inproceedings{gu2022mm, title={MM-ALT: A multimodal automatic lyric transcription system}, author={Gu, Xiangming and Ou, Longshen and Ong, Danielle and Wang, Ye}, booktitle={Proceedings of the 30th ACM International Conference on Multimedia}, pages={3328--3337}, year={2022} }

Add data for VAD training and accompaniment of each utterance.