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YAML Metadata
Warning:
The task_categories "speaker-verification" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
VoxCeleb2 Dataset
This is the VoxCeleb2 dataset, a large-scale speaker identification dataset.
Dataset Description
VoxCeleb2 contains over 1 million utterances for 6,112 celebrities, extracted from videos uploaded to YouTube.
Files
vox2_dev_mp4_part*
: Multipart archive containing MP4 video filesvox2_dev_txt
: Text files with speaker/utterance metadatavox2_meta.csv
: Dataset metadata
Usage
To extract the multipart archive:
# Using 7zip
7z x vox2_dev_mp4_partaa
# Or using cat (Linux/Mac)
cat vox2_dev_mp4_parta* > combined.tar
tar -xf combined.tar
Citation
If you use this dataset, please cite:
@inproceedings{chung2018voxceleb2,
title={VoxCeleb2: Deep Speaker Recognition},
author={Chung, Joon Son and Nagrani, Arsha and Zisserman, Andrew},
booktitle={INTERSPEECH},
year={2018}
}
License
Please refer to the original VoxCeleb2 license terms.
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