bruinxiong / voxceleb

mirror of VoxCeleb dataset - a large-scale speaker identification dataset

# VoxCeleb mirror of [VoxCeleb dataset - a large-scale speaker identification dataset](http://www.robots.ox.ac.uk/~vgg/data/voxceleb/)

THIS IS WORK IN PROGRESS. I would like to have a reproducable way do download mp3 from youtube, trim it and store as delivered by the author of the dataset

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This repo contains the download links to the VoxCeleb dataset, described in [1].

VoxCeleb contains over 100,000 utterances for 1,251 celebrities, extracted from videos uploaded to YouTube. The dataset is gender balanced, with 55% of the speakers male. The speakers span a wide range of different ethnicities, accents, professions and ages. There are no overlapping identities between development and test sets.

	train	test
# of speakers	1,211	40
# of videos	21,819	677
# of utterances	139,124	6,255

Nationality Distribution: The nationalities of the speakers in the dataset were obtained by crawling Wikipedia and can be found here. You can also view the distribution in the following graph:

The list of duplicates (34 videos only in the train set) can be found [here](./data/v1/duplicates.txt).

The train/val/test split used in [1] below for Speaker Identification can be found [here](./data/v1/Identification_split.txt).

Models:

• Pretrained models from dataset authors for VGGVox - Speaker Identification and Verification [1] can be found [here](https://github.com/a-nagrani/VGGVox).

Notice: > We are preparing an extended dataset (VoxCeleb2), containing up to 4 times as many speakers and videos. VoxCeleb2 was originally due to be released in Q4 2017, however it has been delayed to Q1 2018 due to resource constraints.

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Publications:

[1] A. Nagrani, J. S. Chung, A. Zisserman - [VoxCeleb: a large-scale speaker identification dataset](./docs/2017-Nagrani-VoxCeleb_large-scale_speaker_identification_dataset.pdf) - INTERSPEECH, 2017

[2] Yifan He, Zhang Zhang - [Speaker Identication with VoxCeleb DataSet](./docs/2017-YifajHeZhangZhang-Speaker_Identication_with_VoxCeleb_DataSet-stanford_students_raport.pdf) - Stanford students project, 2017