Info hash | b078815ca447a3e4d17e8a2a34f13183ec5dec41 |
Last mirror activity | 5:15 ago |
Size | 1.50TB (1,503,015,135,350 bytes) |
Added | 2020-01-31 02:47:44 |
Views | 997 |
Hits | 2061 |
ID | 4388 |
Type | multi |
Downloaded | 251 time(s) |
Uploaded by | mikeortman |
Folder | AVSpeech |
Num files | 402 files [See full list] |
Mirrors | 7 complete, 8 downloading = 15 mirror(s) total [Log in to see full list] |
AVSpeech (402 files)
metadata.jsonl.zip | 133.32MB |
clips/xpi.tar | 3.70GB |
clips/xpj.tar | 2.77GB |
clips/xph.tar | 3.58GB |
clips/xpf.tar | 3.66GB |
clips/xpg.tar | 3.45GB |
clips/xpe.tar | 3.57GB |
clips/xpc.tar | 3.43GB |
clips/xpd.tar | 3.63GB |
clips/xpa.tar | 3.57GB |
clips/xpb.tar | 3.57GB |
clips/xoy.tar | 3.60GB |
clips/xoz.tar | 3.82GB |
clips/xox.tar | 3.69GB |
clips/xow.tar | 3.84GB |
clips/xou.tar | 3.95GB |
clips/xov.tar | 3.93GB |
clips/xot.tar | 3.83GB |
clips/xos.tar | 3.85GB |
clips/xor.tar | 3.76GB |
clips/xoq.tar | 3.75GB |
clips/xoo.tar | 3.72GB |
clips/xop.tar | 3.86GB |
clips/xon.tar | 3.87GB |
clips/xom.tar | 3.95GB |
clips/xol.tar | 3.56GB |
clips/xok.tar | 3.91GB |
clips/xoj.tar | 4.06GB |
clips/xoi.tar | 3.90GB |
clips/xoh.tar | 3.88GB |
clips/xog.tar | 3.77GB |
clips/xof.tar | 3.67GB |
clips/xod.tar | 3.92GB |
clips/xoe.tar | 3.69GB |
clips/xob.tar | 3.66GB |
clips/xoc.tar | 3.82GB |
clips/xoa.tar | 3.62GB |
clips/xnz.tar | 3.94GB |
clips/xny.tar | 4.14GB |
clips/xnx.tar | 3.93GB |
clips/xnv.tar | 4.22GB |
clips/xnw.tar | 3.94GB |
clips/xnt.tar | 3.58GB |
clips/xnu.tar | 3.63GB |
clips/xnr.tar | 4.01GB |
clips/xns.tar | 3.85GB |
clips/xnp.tar | 3.91GB |
clips/xnq.tar | 3.84GB |
clips/xnn.tar | 3.58GB |
Type: Dataset
Tags: speech isolation, lip reading, face detection
Bibtex:
Tags: speech isolation, lip reading, face detection
Bibtex:
@article{, title= {AVSpeech: Large-scale Audio-Visual Speech Dataset }, journal= {}, author= {Ariel Ephrat and Inbar Mosseri and Oran Lang and Tali Dekel and Kevin Wilson and Avinatan Hassidim and William T. Freeman and Michael Rubinstein}, year= {}, url= {https://looking-to-listen.github.io/avspeech/}, abstract= {AVSpeech is a new, large-scale audio-visual dataset comprising speech video clips with no interfering background noises. The segments are 3-10 seconds long, and in each clip the audible sound in the soundtrack belongs to a single speaking person, visible in the video. In total, the dataset contains roughly 4700 hours* of video segments, from a total of 290k YouTube videos, spanning a wide variety of people, languages and face poses. For more details on how we created the dataset see our paper, Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation (https://arxiv.org/abs/1804.03619). * UPLOADER'S NOTE: This dataset contains 3000 hours of video segments and not the entire 4700 hours. 1700 hours were not included as some no longer existed on youtube, had a copyright violation, not available in the United States, or was of poor quality. Over 1 million segments are included in this torrent, each between 3 - 10 seconds, and in 720p resolution. See README on how to use this dataset}, keywords= {speech isolation, lip reading, face detection}, terms= {}, license= {}, superseded= {} }