kahne/fastwer
A PyPI package for fast word/character error rate (WER/CER) calculation
This tool helps speech scientists and researchers quickly evaluate the accuracy of their speech-to-text systems. You provide the text output from your system (hypothesis) and the correct, human-transcribed text (reference). It then calculates how many words or characters are incorrect, either for individual sentences or for an entire collection of text, providing a clear error rate.
Available on PyPI.
Use this if you need to rapidly quantify the performance of a speech recognition model by comparing its output against ground-truth transcripts.
Not ideal if you need advanced linguistic analysis or more complex metric visualizations beyond standard word and character error rates.
Stars
70
Forks
16
Language
Python
License
MIT
Category
Last pushed
Feb 13, 2026
Commits (30d)
0
Dependencies
1
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