The project is partial fulfillment of the requirements for the degree of Bachelor of Engineering, B.Eng. at Chulalongkorn University on Automatic Speaker Verification on Thai language project submitted to the Department of Computer Engineering on May 21, 2020.
- Python: 3.7.0
- flask: https://github.com/pallets/flask
- base64: pybase64 1.0.1
- numpy: 1.17.2
- NPM: 6.13.4
-
Clone pipeline for Auto Speaker Verification system which can be found at https://github.com/asddsada/demo_pipeline .
-
Move clone directory to
backend/demo_pipeline
or edit config inbackend.py
. -
NPM build require.
git clone https://github.com/asddsada/demo_pipeline.git mv demo_pipeline backend npm install
- frontend
- start ReactJS frontend on port
http://localhost:3000
npm start
- start ReactJS frontend on port
- backend
- config FLASK_APP to backend.py (depend on OS consult https://flask.palletsprojects.com/en/1.1.x/quickstart/#quickstart )
- start flask on port
http://localhost:5000
export FLASK_APP=backend.py flask run