Simple audio features extractor made for CVPR 2022 - Workshop on Media Forensics.
Install Python3.9.12+ and the related dependencies using:
pip3 install -r requirements.txt
Run the main.py
file giving as input the path of the audio that you want to extract the features.
Example:
python3 main.py "data/sample.wav"
The result will be a list of specific audio features saved in the file output_features.csv
.
Feel free to re-use the feature extraction script, if you have any issues or questions about this script open an issue.
These features can be explored in the main synthetic audio datasets using this web application.
Is synthetic voice detection research going into the right direction?
If this paper helped you in the research, please cite:
@inproceedings{borzi2022synthetic,
title={Is Synthetic Voice Detection Research Going Into the Right Direction?},
author={Borz{\`\i}, Stefano and Giudice, Oliver and Stanco, Filippo and Allegra, Dario},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={71--80},
year={2022}
}
- Stefano Borzì
- Oliver Giudice
- Dario Allegra
- Filippo Stanco