Audio Classification

Introduction

This project is for Audio Classification using Transformer Architecture. The following are the expriments that are conducted -

1. Audio classification using Mel Spectograms(mels).
2. Application of ViT to the mels.
3. Application of Masked Auto Encoders.
4. Applicaiton of Swin Transformers.

Getting Started

Follow all the steps carefully

Prerequisites

This project requires python 3.6 or greater and also use virutalenv

• Installing virtualenv

  sudo pip3 install virtualenv

Installation

1. Clone the repo

   git clone https://github.com/Saivivek-Peddi/audio_transformer.git

2. CD into the project directory

   cd audio_transformer

3. Create a virtualenv and start it

   virtualenv venv && source venv/bin/activate

4. Install all the requirements

   pip install -r requirements.txt

Usage

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Sai Vivek Peddi - svpeddi@ucdavis.edu