{"url":"/dataset/mc-grid-test","name":"MC_GRID","full_name":"Multi_Channel_Grid","description_markdown":"Here we release the dataset (Multi_Channel_Grid, abbreviated as **MC_Grid**) used in our paper [LIMUSE: LIGHTWEIGHT MULTI-MODAL SPEAKER EXTRACTION]([[2111.04063\\] LiMuSE: Lightweight Multi-modal Speaker Extraction (arxiv.org)](https://arxiv.org/abs/2111.04063)).\r\n\r\nMC_Grid, which is based on [GRID](http://spandh.dcs.shef.ac.uk/gridcorpus/) dataset, includes multi-channel audio, extracted voiceprint and visual feature. The method of feature extraction will be introduced below.\r\n\r\nMC_Grid is specially prepared for speaker extraction task, and our code is available at [aispeech-lab/LiMuSE](https://github.com/aispeech-lab/LiMuSE). Feel free to contact us if you have any questions or suggestions.","description_withheld":null,"homepage":"https://academictorrents.com/details/3cd18ff2d3eec881207dcc5ca5a2c3a2a3afe462","introduced_date":"2021-11-07","introduced_date_note":null,"introduced_by":{"paper":"/paper/limuse-lightweight-multi-modal-speaker","title":"LiMuSE: Lightweight Multi-modal Speaker Extraction","first_author":"Qinghua Liu","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Audio","url":"/datasets/modality/audio"},{"name":"Speech","url":"/datasets/modality/speech"}],"tasks":[{"name":"Speech Separation","url":"/task/speech-separation","datasets_with_task":"/datasets/task/speech-separation"},{"name":"Speech Extraction","url":"/task/speech-extraction","datasets_with_task":"/datasets/task/speech-extraction"},{"name":"Speaker Separation","url":"/task/speaker-separation","datasets_with_task":"/datasets/task/speaker-separation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["MC_GRID"],"data_loaders":[{"repo":"https://github.com/aispeech-lab/LiMuSE","url":"https://github.com/aispeech-lab/LiMuSE","frameworks":["pytorch"]}],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}