README.md

metadata

annotations_creators:
  - crowdsourced
language: []
language_creators:
  - crowdsourced
license:
  - cc-by-4.0
multilinguality:
  - multilingual
pretty_name: VoxCeleb
size_categories:
  - 1K<n<10K
  - 10K<n<100K
  - 100K<n<1M
source_datasets: []
tags: []
task_categories:
  - automatic-speech-recognition
  - audio-classification
  - image-classification
task_ids:
  - speaker-identification

Dataset Card for VoxCeleb

Table of Contents

• Table of Contents
• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

Dataset Summary

VoxCeleb is an audio-visual dataset consisting of short clips of human speech, extracted from interview videos uploaded to YouTube.

NOTE: Although this dataset can be automatically downloaded, you must manually request credentials to access it from the creators' website.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

Each datapoint has a path to the audio/video clip along with metadata about the speaker.

{
  'file': '/datasets/downloads/extracted/[hash]/wav/id10271/_YimahVgI1A/00003.wav',
  'file_format': 'wav',
  'dataset_id': 'vox1',
  'speaker_id': 'id10271',
  'speaker_gender': 'm',
  'speaker_name': 'Ed_Westwick',
  'speaker_nationality': 'UK',
  'video_id': '_YimahVgI1A',
  'clip_id': '00003',
  'audio': {
    'path': '/datasets/downloads/extracted/[hash]/wav/id10271/_YimahVgI1A/00003.wav',
    'array': array([...], dtype=float32),
    'sampling_rate': 16000
  }
}

Data Fields

Each row includes the following fields:

• file: The path to the audio/video clip
• file_format: The file format in which the clip is stored (e.g. wav, aac, mp4)
• dataset_id: The ID of the dataset this clip is from (vox1, vox2)
• speaker_id: The ID of the speaker in this clip
• speaker_gender: The gender of the speaker (m/f)
• speaker_name (VoxCeleb1 only): The full name of the speaker in the clip
• speaker_nationality (VoxCeleb1 only): The speaker's country of origin
• video_id: The ID of the video from which this clip was taken
• clip_index: The index of the clip for this specific video
• audio (Audio dataset only): The audio signal data

Data Splits

The dataset has a predefined dev set and test set. The dev set has been renamed to a "train" split.

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

The dataset includes recordings of clips (mostly of celebrities and public figures) from public YouTube videos. The names of speakers in VoxCeleb1 are provided.

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

The VoxCeleb authors request that anyone who uses VoxCeleb1 or VoxCeleb2 includes the following three citations:

@Article{Nagrani19,
    author = "Arsha Nagrani and Joon~Son Chung and Weidi Xie and Andrew Zisserman",
    title = "Voxceleb: Large-scale speaker verification in the wild",
    journal = "Computer Science and Language",
    year = "2019",
    publisher = "Elsevier",
}

@InProceedings{Chung18b,
    author = "Chung, J.~S. and Nagrani, A. and Zisserman, A.",
    title = "VoxCeleb2: Deep Speaker Recognition",
    booktitle = "INTERSPEECH",
    year = "2018",
}

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

Contributions

Thanks to @101arrowz for adding this dataset.