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Browse files- README.md +61 -0
- audio/elon-musk.wav +3 -0
- audio/jensen-huang.wav +3 -0
- audio/mark-zuckerberg.wav +3 -0
- build_dataset.py +0 -1
- metadata.csv +4 -1
README.md
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# Voice Cloning Dataset
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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.
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## Dataset Structure
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This repository contains:
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- `audio/`: A folder containing the raw `.wav` audio files.
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- `metadata.csv`: A CSV file with metadata for each audio file.
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### Metadata
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The `metadata.csv` file provides essential information about each voice sample.
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For `voices-celebrities`, the columns are:
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- `identifier`: A unique ID for the speaker.
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- `gender`: The gender of the speaker.
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- `name`: The name of the speaker.
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- `age`: The age of the speaker.
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- `file_name`: The path to the audio file.
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- `language`: The language spoken.
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- `language_code`: A code for the language.
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- `url`: The source YouTube URL.
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- `start_time`: The start time of the clip in the YouTube video.
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- `end_time`: The end time of the clip in the YouTube video.
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## Usage
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To use this dataset, you can clone the repository and then process the `metadata.csv` files to match audio files with their corresponding information.
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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](https://github.com/yt-dlp/yt-dlp/wiki/Installation)) and `ffmpeg` installed ([website](https://www.ffmpeg.org)).
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```bash
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pip install pandas
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cd voices-celebrities
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python build_dataset.py
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```
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## Contributing
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Contributions to this dataset are welcome! You can contribute by:
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- Adding new voice samples to existing categories.
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- Creating new categories.
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- Improving the metadata.
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- Enhancing the data processing scripts.
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When contributing, please ensure the audio quality is high and the metadata is accurate.
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## Legal Disclaimer and Removal Requests
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The voice samples in this dataset are collected from publicly available sources for research purposes. We respect the rights and privacy of individuals.
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If your voice is included in this dataset and you would like it to be removed, please follow these steps:
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1. **Create a GitHub Issue**: Open an issue in this repository with the title "Data Removal Request".
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2. **Provide Details**: In the issue, please provide your name and identify the specific audio file(s) you wish to have removed.
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3. **Processing**: We will process your request, remove the specified data from the dataset, and confirm the removal in the issue.
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We are committed to maintaining this dataset ethically and will address removal requests promptly.
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audio/elon-musk.wav
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version https://git-lfs.github.com/spec/v1
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oid sha256:b589d835fc42525cb352bc11a228f796e92e9848af1245b1d9407b8eb1270637
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size 24199246
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audio/jensen-huang.wav
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version https://git-lfs.github.com/spec/v1
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oid sha256:045dd1bd68ad341a2df5d0990c8a3143c6ed5f4a2322e97dcfa40e8559dbd5fa
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size 20168782
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audio/mark-zuckerberg.wav
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version https://git-lfs.github.com/spec/v1
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oid sha256:fb167c71774a4986b0505c908c29ae010cce5841cf954e9e92bb5dbdfe8b4b64
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size 63357006
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build_dataset.py
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# pip install yt-dlp
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import os
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import pandas as pd
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import os
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import pandas as pd
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metadata.csv
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1,M,Donald Trump,79,audio/donald-trump.wav,english,e,"https://www.youtube.com/watch?v=wQPTUa8vxRU","14:52","15:14"
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2,M,Joe Biden,80,audio/joe-biden.wav,english,e,"https://www.youtube.com/watch?v=u1UC89H4Swc","2:11","2:32"
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3,M,Barack Obama,59,audio/barack-obama.wav,english,e,"https://www.youtube.com/watch?v=mAFv55o47ok","4:10","4:54"
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4,M,Andrew Tate,36,audio/andrew-tate.wav,english,e,"https://www.youtube.com/watch?v=VGWGcESPltM","5:09","5:50"
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1,M,Donald Trump,79,audio/donald-trump.wav,english,e,"https://www.youtube.com/watch?v=wQPTUa8vxRU","14:52","15:14"
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2,M,Joe Biden,80,audio/joe-biden.wav,english,e,"https://www.youtube.com/watch?v=u1UC89H4Swc","2:11","2:32"
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3,M,Barack Obama,59,audio/barack-obama.wav,english,e,"https://www.youtube.com/watch?v=mAFv55o47ok","4:10","4:54"
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4,M,Andrew Tate,36,audio/andrew-tate.wav,english,e,"https://www.youtube.com/watch?v=VGWGcESPltM","5:09","5:50"
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5,M,Jensen Huang,62,audio/jensen-huang.wav,english,e,"https://www.youtube.com/watch?v=3hptKYix4X8","54:14","55:59"
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6,M,Elon Musk,53,audio/elon-musk.wav,english,e,"https://www.youtube.com/watch?v=7qZl_5xHoBw","27:45","29:51"
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7,M,Mark Zuckerberg,40,audio/mark-zuckerberg.wav,english,e,"https://www.youtube.com/watch?v=7k1ehaE0bdU","2:21:30","2:27:00"
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