JiWER

JiWER is a simple and fast python package to evaluate an automatic speech recognition system. It supports the following measures:

word error rate (WER)
match error rate (MER)
word information lost (WIL)
word information preserved (WIP)
character error rate (CER)

These measures are computed with the use of the minimum-edit distance between one or more reference and hypothesis sentences. The minimum-edit distance is calculated using RapidFuzz, which uses C++ under the hood, and is therefore faster than a pure python implementation.

Documentation

For further info, see the documentation at jitsi.github.io/jiwer.

Installation

You should be able to install this package using poetry:

$ poetry add jiwer

Or, if you prefer old-fashioned pip and you're using Python >= 3.7:

$ pip install jiwer

Usage

The most simple use-case is computing the word error rate between two strings:

from jiwer import wer

reference = "hello world"
hypothesis = "hello duck"

error = wer(reference, hypothesis)

Licence

The jiwer package is released under the Apache License, Version 2.0 licence by 8x8.

For further information, see LICENCE.

Reference

For a comparison between WER, MER and WIL, see:
Morris, Andrew & Maier, Viktoria & Green, Phil. (2004). From WER and RIL to MER and WIL: improved evaluation measures for connected speech recognition.