Character-Error-Rate
npm package for calculating the character-error-rate between two strings to evaluate speech recognition quality.
Complexity of levenshtein distance is being improved from O(m*n) to O(min(m,n)).
Prerequisites
This project requires NodeJS (version 8 or later) and NPM.
Node and NPM are really easy to install.
To make sure you have them available on your machine,
try running the following command.
$ npm -v && node -v
6.4.1
v8.16.0
Installation
BEFORE YOU INSTALL: please read the prerequisites
Install the npm-package
$ npm i character-error-rate
Usage
You can decide if punctuation and capitalization should be considered in the calculation.
calcCER(reference: string, transcription: string, withPunctuation: boolean, withCapitalization: boolean));
import calcCER from 'character-error-rate';
console.log('CER: ', calcCER('reference text', 'transcription text', true, true));
Authors
- Henning Weise - Initial work - GitHub
- Milot Mirdita - Levenshtein distance algorithm - GitHub
License
MIT License © Henning Weise