voxceleb

Warning: Manual download required. See instructions below.

• Description:

An large scale dataset for speaker identification. This data is collected from over 1,251 speakers, with over 150k samples in total. This release contains the audio part of the voxceleb1.1 dataset.

• Additional Documentation: Explore on Papers With Code

• Homepage: http://www.robots.ox.ac.uk/~vgg/data/voxceleb/vox1.html

• Source code: tfds.audio.Voxceleb

• Versions:

  • 1.2.1 (default): Add youtube_id field

• Download size: 4.68 MiB

• Dataset size: 107.98 GiB

• Manual download instructions: This dataset requires you to download the source data manually into download_config.manual_dir (defaults to ~/tensorflow_datasets/downloads/manual/):
  manual_dir should contain the file vox_dev_wav.zip. The instructions for downloading this file are found in http://www.robots.ox.ac.uk/~vgg/data/voxceleb/vox1.html This dataset requires registration.

• Auto-cached (documentation): No

• Splits:

Split	Examples
'test'	7,972
'train'	134,000
'validation'	6,670

• Feature structure:

FeaturesDict({
    'audio': Audio(shape=(None,), dtype=int64),
    'label': ClassLabel(shape=(), dtype=int64, num_classes=1252),
    'youtube_id': Text(shape=(), dtype=string),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
audio	Audio	(None,)	int64
label	ClassLabel		int64
youtube_id	Text		string

• Supervised keys (See as_supervised doc): ('audio', 'label')

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe):

• Citation:

@InProceedings{Nagrani17,
    author       = "Nagrani, A. and Chung, J.~S. and Zisserman, A.",
    title        = "VoxCeleb: a large-scale speaker identification dataset",
    booktitle    = "INTERSPEECH",
    year         = "2017",
}