README.md

Table of Contents

• Introduction
• Features
• Showcase
• Feedback
• Contribution
• Build with
• Build Process
• Authors
• License

Introduction

EVA is a speaker recognition and voice shortcut system.

Features

• Users can register various functions supported by AI speakers with their own shortcut keys.
• By distinguishing the speaker based on the voice, the same setence pronounced by each user performs different functions.

Showcase

Feedback

Please feel free to give us any feedback or feature requests by opening an issue.

Contribution

If you wish to contribute to our project, please please do not hesitate to contact us.

Build with

• Python3 - Python is an interpreted, high-level, general-purpose programming language.
• Flask - Flask provides you with tools, libraries and technologies that allow you to build a web application.
• Pytorch - An open source machine learning framework that accelerates the path from research prototyping to production deployment.

Build Process

Docker is required if you wish to develop by yourself.

1. Clone or download the repo.
2. docker build -t IMAGE_NAME PATH
3. docker run -d -p CONTAINER_PORT:HOST_PORT --name CONTAINER_NAME IMAGE_NAME

Authors

• Min Woo Kim - ML engineer - JoeyValentine
• Kyu Yeon Lee - ML engineer - Destructions
• Ina Song Server engineer - ina-uzu
• Joohan Lee Server engineer - joohan1030

License

This project is licensed under the MIT License - see the LICENSE.md file for details