Synthetic-Voice-Detection-Vocoder-Artifacts
This repository is related to our Dataset and Detection code from the paper: AI-Synthesized Voice Detection Using Neural Vocoder Artifacts accepted in CVPR Workshop on Media Forensic 2023.
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Download Latest Version (.zip)- model.cpython-312.pyc
- __init__.cpython-312.pyc
- __init__.cpython-36.pyc
- __init__.cpython-37.pyc
- startup_config.cpython-312.pyc
- startup_config.cpython-36.pyc
- startup_config.cpython-37.pyc
- __init__.py
- arg_parse.py
- config_parse.py
- text_io.py
- tmp.txt
- toolkit_all.py
- toolkit_en.py
- __init__.py
- conf.py
- customize_collate_fn.py
- customize_dataset.py
- customize_sampler.py
- default_data_io.py
- io_tools.py
- seq_info.py
- wav_tools.py
- __init__.py
- random_tools.py
- stats.py
- nn_manager.py
- nn_manager_conf.py
- nn_manager_GAN.py
- nn_manager_tools.py
- conf.py
- lr_scheduler.py
- op_display_tools.py
- op_manager.py
- op_process_monitor.py
- __init__.py
- data_warehouse.py
- debug.py
- display.py
- list_tools.py
- log_parser.py
- random_name_mgn.py
- script_model_para.py
- str_tools.py
- __init__.py
- startup_config.py
- dev.txt
- eval.py
- LICENSE
- main.py
- model.py
- model_config_RawNet.yaml
- README copy.md
- README.md
- requirements.txt
- test.txt
- train.txt
# Installation Guide
1. Get the code
git clone https://github.com/csun22/Synthetic-Voice-Detection-Vocoder-Artifacts
Downloads the entire project code from GitHub to your computer.
cd Synthetic-Voice-Detection-Vocoder-Artifacts
Moves into the project folder you just downloaded.
2. Python
Easy RecommendedPrerequisites
pip install -r requirements.txt
Installs the Python libraries listed in requirements.txt (or similar).
python main.py
Runs the Python script (or module).
If it runs without errors and prints output in the terminal, it worked.
// repository documentation
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