| Info hash | 7f06f8280a3b496f2af0f78131ced619df14a0c3 |
| Last mirror activity | 714d,19:04:19 ago |
| Size | 18.45GB (18,448,099,391 bytes) |
| Added | 2022-04-15 14:38:18 |
| Views | 325 |
| Hits | 184 |
| ID | 4785 |
| Type | multi |
| Downloaded | 0 time(s) |
| Uploaded by |  qhliu |
| Folder | MC_GRID |
| Num files | 131934 files [See full list] |
| Mirrors | 0 complete, 1 downloading = 1 mirror(s) total [Log in to see full list] |
MC_GRID (131934 files)
 README.md | 4.04kB |
| grid_vp.pkl | 70.35MB |
| lip_fea/test/s12/bbae1n.npy | 76.93kB |
| lip_fea/test/s12/bbae2s.npy | 76.93kB |
| lip_fea/test/s12/bbae3p.npy | 76.93kB |
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| lip_fea/test/s12/bbiy1p.npy | 76.93kB |
| lip_fea/test/s12/bbiy2a.npy | 76.93kB |
Type: Dataset
Tags: Speech Separation, Speaker Extraction
Bibtex:
Tags: Speech Separation, Speaker Extraction
Bibtex:
@article{,
title= {MC_GRID},
journal= {},
author= {Qinghua Liu and Yating Huang and Yunzhe Hao and Jiaming Xu and Bo Xu},
year= {},
url= {},
abstract= {Here we release the dataset (Multi_Channel_Grid, abbreviated as MC_Grid) used in our paper LIMUSE: LIGHTWEIGHT MULTI-MODAL SPEAKER EXTRACTION.
MC_Grid, which is based on GRID dataset, includes multi-channel audio, extracted voiceprint and visual feature. And our code is available at https://github.com/aispeech-lab/LiMuSE.
Feel free to contact us if you have any questions or suggestions.},
keywords= {Speech Separation, Speaker Extraction},
terms= {},
license= {},
superseded= {}
}