Polite-o-Meter helps you find the politeness of your voices in many different professional situations. We utilized Machine Learning in training the logistic model which could return a percentage of politeness level. Our dataset contains a total of 272 audios, including 16 neutral audios, 128 polite audios and 128 impolite audios. In order to deal with voice differences among different people, we ask for a neutral audio at first during microphone testing as reference. To help you improve politeness in different professional situations, we also provide different scenarios. Hope you enjoy it!
The working prototype can be found at:
https://www.politeometer.net/
Daryl Bagley
Agent Programming
Yuebai Gao
Data Processing
Xiao Cheng
UI/UX Design & User Research
Chang Kyung Kim
Frontend & Server