character-error-rate
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npm package for calculating the character-error-rate between two strings to evaluate speech recognition quality
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)).
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
BEFORE YOU INSTALL: please read the prerequisites
Install the npm-package
$ npm i @henning410/character-error-rate
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 '@henning410/character-error-rate';
console.log('CER: ', calcCER('reference text', 'transcription text', true, true));
MIT License © Henning Weise
FAQs
npm package for calculating the character-error-rate between two strings to evaluate speech recognition quality
The npm package character-error-rate receives a total of 13 weekly downloads. As such, character-error-rate popularity was classified as not popular.
We found that character-error-rate demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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