jiwer

Evaluate your speech-to-text system with similarity measures such as word error rate (WER)

Not yet testedsource: GitHubPythonApache-2.0commit 2227002889f2

Python, Apache-2.0 licensed. The project labels itself: automatic speech recognition, evaluation metrics, python3, speech to text, wer and word error rate.

jiwer has not been verified yet.

Measured by Argusic on a fresh machine every time. Every number links to its evidence.

At a glance

verdict
Not yet tested
Argusic Score
not scored yet
recorded runs
0
last tested
-
stars
933
forks
108
open issues
21
watchers
12
size
1 MB
created
last push

Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.

Also tested, in the same area

Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.

Run history

No recorded runs.

Topics (from GitHub)

automatic-speech-recognitionevaluation-metricspython3speech-to-textwerword-error-rate

Embed the badge

Markdown for the project README. It links back here; terms on the terms page.

[![Tested by Argusic](https://argusic.com/badge/jiwer.svg)](https://argusic.com/subject/jiwer)

Questions

Does jiwer run?
jiwer has not been fully verified yet. No recorded run has produced a verdict yet.
How did Argusic test jiwer?
On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
Where is the evidence for jiwer?
All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.

Discussion