/Articulatin-Server

Speech Analysis MERN Application @

Primary LanguageJavaScript

Articulat.in (Back-end Repository)

Articulat.in is an IBM Watson powered MERN stack application. It helps speech preparation by analyzing text differential of a written transcript and user's voice recording. The scoring algorithm in place is the result of solving two unique problems when tackling data comparison; the longest common subsequence problem and the common substrings problem. The output of these algorithms provide insight on how far the user may have deviated from the original transcript and tone differentials.

Please check out Articulat.in Front-end Github Repository for the front-end code.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Clone this repository onto your local machine:

$ git clone https://github.com/kc657/Articulatin-Server.git

CD into the Articulatin-Server directory and run NPM install:

$ npm install

Start the server:

$ npm start

Built With

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

Authors

Acknowledgments

  • IBM for hosting informative tech talks about Watson
  • Thanks to the awesome General Assembly WDI-39 Instructors