ProgramComputer
commited on
Commit
•
b33af39
1
Parent(s):
ae03427
Create README.md
Browse files
README.md
ADDED
@@ -0,0 +1,195 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
annotations_creators:
|
3 |
+
- crowdsourced
|
4 |
+
language: []
|
5 |
+
language_creators:
|
6 |
+
- crowdsourced
|
7 |
+
license:
|
8 |
+
- cc-by-4.0
|
9 |
+
multilinguality:
|
10 |
+
- multilingual
|
11 |
+
pretty_name: VoxCeleb
|
12 |
+
size_categories:
|
13 |
+
- 1K<n<10K
|
14 |
+
- 10K<n<100K
|
15 |
+
- 100K<n<1M
|
16 |
+
source_datasets: []
|
17 |
+
tags: []
|
18 |
+
task_categories:
|
19 |
+
- automatic-speech-recognition
|
20 |
+
- audio-classification
|
21 |
+
- image-classification
|
22 |
+
task_ids:
|
23 |
+
- speaker-identification
|
24 |
+
---
|
25 |
+
|
26 |
+
# Dataset Card for VoxCeleb
|
27 |
+
|
28 |
+
## Table of Contents
|
29 |
+
- [Table of Contents](#table-of-contents)
|
30 |
+
- [Dataset Description](#dataset-description)
|
31 |
+
- [Dataset Summary](#dataset-summary)
|
32 |
+
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
|
33 |
+
- [Languages](#languages)
|
34 |
+
- [Dataset Structure](#dataset-structure)
|
35 |
+
- [Data Instances](#data-instances)
|
36 |
+
- [Data Fields](#data-fields)
|
37 |
+
- [Data Splits](#data-splits)
|
38 |
+
- [Dataset Creation](#dataset-creation)
|
39 |
+
- [Curation Rationale](#curation-rationale)
|
40 |
+
- [Source Data](#source-data)
|
41 |
+
- [Annotations](#annotations)
|
42 |
+
- [Personal and Sensitive Information](#personal-and-sensitive-information)
|
43 |
+
- [Considerations for Using the Data](#considerations-for-using-the-data)
|
44 |
+
- [Social Impact of Dataset](#social-impact-of-dataset)
|
45 |
+
- [Discussion of Biases](#discussion-of-biases)
|
46 |
+
- [Other Known Limitations](#other-known-limitations)
|
47 |
+
- [Additional Information](#additional-information)
|
48 |
+
- [Dataset Curators](#dataset-curators)
|
49 |
+
- [Licensing Information](#licensing-information)
|
50 |
+
- [Citation Information](#citation-information)
|
51 |
+
- [Contributions](#contributions)
|
52 |
+
|
53 |
+
## Dataset Description
|
54 |
+
|
55 |
+
### Dataset Summary
|
56 |
+
|
57 |
+
VoxCeleb is an audio-visual dataset consisting of short clips of human speech, extracted from interview videos uploaded to YouTube.
|
58 |
+
|
59 |
+
NOTE: Although this dataset can be automatically downloaded, you must manually request credentials to access it from the creators' website.
|
60 |
+
|
61 |
+
### Supported Tasks and Leaderboards
|
62 |
+
|
63 |
+
[More Information Needed]
|
64 |
+
|
65 |
+
### Languages
|
66 |
+
|
67 |
+
[More Information Needed]
|
68 |
+
|
69 |
+
## Dataset Structure
|
70 |
+
|
71 |
+
### Data Instances
|
72 |
+
|
73 |
+
Each datapoint has a path to the audio/video clip along with metadata about the speaker.
|
74 |
+
|
75 |
+
```
|
76 |
+
{
|
77 |
+
'file': '/datasets/downloads/extracted/[hash]/wav/id10271/_YimahVgI1A/00003.wav',
|
78 |
+
'file_format': 'wav',
|
79 |
+
'dataset_id': 'vox1',
|
80 |
+
'speaker_id': 'id10271',
|
81 |
+
'speaker_gender': 'm',
|
82 |
+
'speaker_name': 'Ed_Westwick',
|
83 |
+
'speaker_nationality': 'UK',
|
84 |
+
'video_id': '_YimahVgI1A',
|
85 |
+
'clip_id': '00003',
|
86 |
+
'audio': {
|
87 |
+
'path': '/datasets/downloads/extracted/[hash]/wav/id10271/_YimahVgI1A/00003.wav',
|
88 |
+
'array': array([...], dtype=float32),
|
89 |
+
'sampling_rate': 16000
|
90 |
+
}
|
91 |
+
}
|
92 |
+
```
|
93 |
+
|
94 |
+
### Data Fields
|
95 |
+
|
96 |
+
Each row includes the following fields:
|
97 |
+
- `file`: The path to the audio/video clip
|
98 |
+
- `file_format`: The file format in which the clip is stored (e.g. `wav`, `aac`, `mp4`)
|
99 |
+
- `dataset_id`: The ID of the dataset this clip is from (`vox1`, `vox2`)
|
100 |
+
- `speaker_id`: The ID of the speaker in this clip
|
101 |
+
- `speaker_gender`: The gender of the speaker (`m`/`f`)
|
102 |
+
- `speaker_name` (VoxCeleb1 only): The full name of the speaker in the clip
|
103 |
+
- `speaker_nationality` (VoxCeleb1 only): The speaker's country of origin
|
104 |
+
- `video_id`: The ID of the video from which this clip was taken
|
105 |
+
- `clip_index`: The index of the clip for this specific video
|
106 |
+
- `audio` (Audio dataset only): The audio signal data
|
107 |
+
|
108 |
+
### Data Splits
|
109 |
+
|
110 |
+
The dataset has a predefined dev set and test set. The dev set has been renamed to a "train" split.
|
111 |
+
|
112 |
+
## Dataset Creation
|
113 |
+
|
114 |
+
### Curation Rationale
|
115 |
+
|
116 |
+
[More Information Needed]
|
117 |
+
|
118 |
+
### Source Data
|
119 |
+
|
120 |
+
#### Initial Data Collection and Normalization
|
121 |
+
|
122 |
+
[More Information Needed]
|
123 |
+
|
124 |
+
#### Who are the source language producers?
|
125 |
+
|
126 |
+
[More Information Needed]
|
127 |
+
|
128 |
+
### Annotations
|
129 |
+
|
130 |
+
#### Annotation process
|
131 |
+
|
132 |
+
[More Information Needed]
|
133 |
+
|
134 |
+
#### Who are the annotators?
|
135 |
+
|
136 |
+
[More Information Needed]
|
137 |
+
|
138 |
+
### Personal and Sensitive Information
|
139 |
+
|
140 |
+
The dataset includes recordings of clips (mostly of celebrities and public figures) from public YouTube videos. The names of speakers in VoxCeleb1 are provided.
|
141 |
+
|
142 |
+
## Considerations for Using the Data
|
143 |
+
|
144 |
+
### Social Impact of Dataset
|
145 |
+
|
146 |
+
[More Information Needed]
|
147 |
+
|
148 |
+
### Discussion of Biases
|
149 |
+
|
150 |
+
[More Information Needed]
|
151 |
+
|
152 |
+
### Other Known Limitations
|
153 |
+
|
154 |
+
[More Information Needed]
|
155 |
+
|
156 |
+
## Additional Information
|
157 |
+
|
158 |
+
### Dataset Curators
|
159 |
+
|
160 |
+
[More Information Needed]
|
161 |
+
|
162 |
+
### Licensing Information
|
163 |
+
|
164 |
+
[More Information Needed]
|
165 |
+
|
166 |
+
### Citation Information
|
167 |
+
|
168 |
+
The VoxCeleb authors request that anyone who uses VoxCeleb1 or VoxCeleb2 includes the following three citations:
|
169 |
+
```
|
170 |
+
@Article{Nagrani19,
|
171 |
+
author = "Arsha Nagrani and Joon~Son Chung and Weidi Xie and Andrew Zisserman",
|
172 |
+
title = "Voxceleb: Large-scale speaker verification in the wild",
|
173 |
+
journal = "Computer Science and Language",
|
174 |
+
year = "2019",
|
175 |
+
publisher = "Elsevier",
|
176 |
+
}
|
177 |
+
|
178 |
+
@InProceedings{Chung18b,
|
179 |
+
author = "Chung, J.~S. and Nagrani, A. and Zisserman, A.",
|
180 |
+
title = "VoxCeleb2: Deep Speaker Recognition",
|
181 |
+
booktitle = "INTERSPEECH",
|
182 |
+
year = "2018",
|
183 |
+
}
|
184 |
+
|
185 |
+
@InProceedings{Nagrani17,
|
186 |
+
author = "Nagrani, A. and Chung, J.~S. and Zisserman, A.",
|
187 |
+
title = "VoxCeleb: a large-scale speaker identification dataset",
|
188 |
+
booktitle = "INTERSPEECH",
|
189 |
+
year = "2017",
|
190 |
+
}
|
191 |
+
```
|
192 |
+
|
193 |
+
### Contributions
|
194 |
+
|
195 |
+
Thanks to [@101arrowz](https://github.com/101arrowz) for adding this dataset.
|