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The VoxTube Dataset

The VoxTube is a multilingual speaker recognition dataset collected from the CC BY 4.0 YouTube videos. It includes 5.040 speaker identities pronouncing ~4M utterances in 10+ languages. For the underlying data collection and filtering approach details please refer to [1].

Dataset Structure

Data Instances

A typical data point comprises the audio signal iself, with additional labels like speaker id / session id (video_id) / language / gender etc.

{'upload_date': datetime.date(2018, 5, 2),
 'segment_id': 11,
 'video_id': 'vIpK78CL1so',
 'channel_id': 'UC7rMVNUr7318I0MKumPbIKA',
 'language': 'english',
 'gender': 'male',
 'spk_id': 684,
 'spk_estim_age': 23.5572452545166,
 'spk_estim_age_mae': 3.6162896156311035,
 'audio': {'path': 'UC7rMVNUr7318I0MKumPbIKA/vIpK78CL1so/segment_11.mp3',
  'array': array([-0.00986903, -0.01569703, -0.02005875, ..., -0.00247505,
         -0.01329966, -0.01462782]),
  'sampling_rate': 16000}}

Data Fields

  • channel_id: YouTube channel ID from which speaker ID (spk_id) is derived.
  • video_id: YouTube video ID, or session for speaker.
  • segment_id: ID of chunk of video's audio, that passed filtration process.
  • upload_date: Date time object representing the date when video was uploaded to YouTube.
  • language: Language of the channel / speaker.
  • gender: Gender of the channel / speaker.
  • spk_id: Infered integer speaker ID from channel_id.
  • spk_estim_age: Label of speaker age (not accurate) based on voice-based automatic age estimation & calibrated based on the upload_date of all videos for a given channel.
  • spk_estim_age_mae: MAE of spk_estim_age (might be considered as confidence).
  • audio: audio signal of a 4 seconds mp3 segment from channel_id/video_id

Dataset description

Main statistics

Dataset properties Stats
# of POI 5.040
# of videos 306.248
# of segments 4.439.888
# of hours 4.933
Avg # of videos per POI 61
Avg # of segments per POI 881
Avg length of segments (sec) 4

Language and gender distributions

Distributions

Language and gender labels of each speaker are available in original repo here.

License

The dataset is licensed under CC BY-NC-SA 4.0, please see the complete version of the license.

Please also note that the provided metadata is relevant on the February 2023 and the corresponding CC BY 4.0 video licenses are valid on that date. ID R&D Inc. is not responsible for changed video license type or if the video was deleted from the YouTube platform. If you want your channel meta to be deleted from the dataset, please contact ID R&D Inc. with a topic "VoxTube change request".

Development

Official repository live repository for opening issues.

Citation

Please cite the paper below if you make use of the dataset:

@inproceedings{yakovlev23_interspeech,
  author={Ivan Yakovlev and Anton Okhotnikov and Nikita Torgashov and Rostislav Makarov and Yuri Voevodin and Konstantin Simonchik},
  title={{VoxTube: a multilingual speaker recognition dataset}},
  year=2023,
  booktitle={Proc. INTERSPEECH 2023},
  pages={2238--2242},
  doi={10.21437/Interspeech.2023-1083}
}
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