Datasets:
identifier
stringlengths 9
15
| gender
stringclasses 2
values | name
stringlengths 9
15
| age
int64 16
80
| audio
audioduration (s) 21
330
| language
stringclasses 1
value | language_code
stringclasses 1
value | url
stringlengths 43
43
| start_time
stringlengths 4
7
| end_time
stringlengths 4
7
|
|---|---|---|---|---|---|---|---|---|---|
donald_trump
|
M
|
Donald Trump
| 79
|
english
|
e
|
https://www.youtube.com/watch?v=wQPTUa8vxRU
|
14:52
|
15:14
|
|
joe_biden
|
M
|
Joe Biden
| 80
|
english
|
e
|
https://www.youtube.com/watch?v=u1UC89H4Swc
|
2:11
|
2:32
|
|
barack_obama
|
M
|
Barack Obama
| 59
|
english
|
e
|
https://www.youtube.com/watch?v=mAFv55o47ok
|
4:10
|
4:54
|
|
andrew_tate
|
M
|
Andrew Tate
| 36
|
english
|
e
|
https://www.youtube.com/watch?v=VGWGcESPltM
|
5:09
|
5:50
|
|
jensen_huang
|
M
|
Jensen Huang
| 62
|
english
|
e
|
https://www.youtube.com/watch?v=3hptKYix4X8
|
54:14
|
55:59
|
|
elon_musk
|
M
|
Elon Musk
| 53
|
english
|
e
|
https://www.youtube.com/watch?v=7qZl_5xHoBw
|
27:45
|
29:51
|
|
mark_zuckerberg
|
M
|
Mark Zuckerberg
| 40
|
english
|
e
|
https://www.youtube.com/watch?v=7k1ehaE0bdU
|
2:21:30
|
2:27:00
|
|
j_k_rowling
|
F
|
J.K. Rowling
| 59
|
english
|
e
|
https://www.youtube.com/watch?v=3uLa3WKXwLg
|
0:14
|
1:38
|
|
oprah_winfrey
|
F
|
Oprah Winfrey
| 70
|
english
|
e
|
https://www.youtube.com/watch?v=1sq_GJiGckM
|
6:38
|
8:06
|
|
kamala_harris
|
F
|
Kamala Harris
| 60
|
english
|
e
|
https://www.youtube.com/watch?v=TJys7OVH24E
|
8:44
|
9:23
|
|
bill_gates
|
M
|
Bill Gates
| 70
|
english
|
e
|
https://www.youtube.com/watch?v=pBRSZBtirAk
|
10:14
|
10:48
|
|
hillary_clinton
|
F
|
Hillary Clinton
| 78
|
english
|
e
|
https://www.youtube.com/watch?v=4xCxWOnK33Q
|
8:03
|
8:50
|
|
greta_thunberg
|
F
|
Greta Thunberg
| 16
|
english
|
e
|
https://www.youtube.com/watch?v=BQ4rBLCpEeM
|
0:43
|
1:27
|
Voice Cloning Dataset
This repository provides a curated dataset of voice samples designed for Text-to-Speech (TTS) voice cloning applications. The primary goal is to offer high-quality audio clips suitable for training and fine-tuning voice cloning models.
Dataset Structure
This repository contains:
audio/: A folder containing the raw.wavaudio files.metadata.csv: A CSV file with metadata for each audio file.
Metadata
The metadata.csv file provides essential information about each voice sample.
For voices-celebrities, the columns are:
identifier: A unique ID for the speaker.gender: The gender of the speaker.name: The name of the speaker.age: The age of the speaker.file_name: The path to the audio file.language: The language spoken.language_code: A code for the language.url: The source YouTube URL.start_time: The start time of the clip in the YouTube video.end_time: The end time of the clip in the YouTube video.
Usage
To use this dataset, you can clone the repository and then process the metadata.csv files to match audio files with their corresponding information.
The voices-celebrities directory includes a build_dataset.py script which demonstrates how to download the audio clips from YouTube using the provided metadata. You will need yt-dlp (installation wiki) and ffmpeg installed (website).
pip install pandas
cd voices-celebrities
python build_dataset.py
Contributing
Contributions to this dataset are welcome! You can contribute by:
- Adding new voice samples to existing categories.
- Creating new categories.
- Improving the metadata.
- Enhancing the data processing scripts.
When contributing, please ensure the audio quality is high and the metadata is accurate.
Legal Disclaimer and Removal Requests
The voice samples in this dataset are collected from publicly available sources for research purposes. We respect the rights and privacy of individuals.
If your voice is included in this dataset and you would like it to be removed, please follow these steps:
- Create a GitHub Issue: Open an issue in this repository with the title "Data Removal Request".
- Provide Details: In the issue, please provide your name and identify the specific audio file(s) you wish to have removed.
- Processing: We will process your request, remove the specified data from the dataset, and confirm the removal in the issue.
We are committed to maintaining this dataset ethically and will address removal requests promptly.
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