In this repository, I have implemented the concept of sound classification - which is considered as a "Hello World" - type problem for audio deep learning. In this project, we start with a sound file, convert them to the spectrograms, input them into the CNN plus Linear Classifier Model, and produce predictions about the class to which the sound belongs.

.
├── README.md
├── scripts
│   ├── dataSet.py
│   ├── models.py
│   ├── training.py
│   └── utils_functions.py
└── UrbanSound8k
    ├── fold1
    ├── fold10
    ├── fold2
    ├── fold3
    ├── fold4
    ├── fold5
    ├── fold6
    ├── fold7
    ├── fold8
    ├── fold9
    └── metadata

To run this project on your own, follow these steps:

1. Clone the repository.
2. Create a virtual environment using python -m venv venv.
3. Install the necessary dependencies using pip install -r requirements.txt.

Feel free to explore the code and adapt it to your own projects. Enjoy your NLP journey!

Drishya Karki