Datasets:
Sub-tasks:
speaker-identification
Multilinguality:
multilingual
Language Creators:
crowdsourced
Annotations Creators:
crowdsourced
License:
| 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](#table-of-contents) | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| - [Data Splits](#data-splits) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Curation Rationale](#curation-rationale) | |
| - [Source Data](#source-data) | |
| - [Annotations](#annotations) | |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| - [Considerations for Using the Data](#considerations-for-using-the-data) | |
| - [Social Impact of Dataset](#social-impact-of-dataset) | |
| - [Discussion of Biases](#discussion-of-biases) | |
| - [Other Known Limitations](#other-known-limitations) | |
| - [Additional Information](#additional-information) | |
| - [Dataset Curators](#dataset-curators) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| - [Contributions](#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](https://github.com/101arrowz) for adding this dataset. | |