34 lines
1.2 KiB
Markdown
34 lines
1.2 KiB
Markdown
## SISU
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### Overview
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SISU (Super Ingenious Sound Upscaler) is a project that uses GANs (Generative Adversarial Networks) to make low-quality audio better. The goal is to take not-so-good-sounding audio and turn it into high-quality, clear audio.
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### Structure of the Project
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- **dataset**: This folder has some sample audio files for testing.
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- **models**:
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- `generator.py`: This file has the code for the part that improves the audio.
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- `discriminator.py`: This file has the code for the part that checks if the audio is good or not.
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- **training**:
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- `training.py`: This script is used to teach the computer how to improve the audio.
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### Using the Project
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1. **Set Up**:
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- Make sure you have Python installed (version 3.8 or higher).
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- Install needed packages: `pip install -r requirements.txt`
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2. **Prepare Audio Data**:
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- Put your audio files in the `dataset/good` folder.
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3. **Train the Model**:
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- Run the training script: `python training.py`
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4. **Generate Better Audio**:
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- After training, you can use the generator to make your audio sound better.
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### License
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This project is open-source and licensed under the GPLv3 License. For details, see the LICENSE file.
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