metadata

dataset_info:
  homepage: https://idrnd.github.io/VoxTube/
  description: VoxTube - a multilingual speaker recognition dataset
  license: CC-BY-NC-SA-4.0
  citation: >-
    @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} }
  features:
    - name: upload_date
      dtype: date32
    - name: segment_id
      dtype: int32
    - name: video_id
      dtype: string
    - name: channel_id
      dtype: string
    - name: language
      dtype: string
    - name: gender
      dtype: string
    - name: spk_id
      dtype: int32
    - name: spk_estim_age
      dtype: float32
    - name: spk_estim_age_mae
      dtype: float32
    - name: audio
      dtype:
        audio:
          sampling_rate: 16000
  splits:
    - name: train
      num_bytes: 222149986832.446
      num_examples: 4459754
  download_size: 220167447157
  dataset_size: 222149986832.446
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: cc-by-nc-sa-4.0
task_categories:
  - audio-classification
language:
  - en
  - ru
  - es
  - pt
  - fr
  - ar
  - it
  - de
  - tr
  - nl
  - ko
pretty_name: VoxTube
size_categories:
  - 1M<n<10M
extra_gated_fields:
  Name: text
  Affiliation: text
  Email: text
  I understand the applicability and accept the limitations of CC-BY-NC-SA license of this dataset that NO commercial usage is allowed: checkbox
  By clicking on "Access repository" below, I agree to not attempt to determine the identity of speakers in the dataset: checkbox

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

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}
}