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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 files
  • vox2_dev_txt: Text files with speaker/utterance metadata
  • vox2_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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