airwer 0.2.3

Word Error Rate for Air Traffic Control

airwer

Word Error Rate for Air Traffic Control.

Install

pip install airwer

Usage

import airwer

airwer.wer("descend flight level two five zero", "descend FL250")  # 0.0
airwer.wer("turn heading two one zero", "turn heading 220")        # > 0.0

API

Each takes a single utterance (str) or a corpus (Sequence[str]), plus an optional WerConfig to override the default CANONICAL profile.

Function	What it scores
wer(ref, hyp)	Corpus Word Error Rate (the default metric)
cer(ref, hyp)	Character Error Rate
numeric_wer(ref, hyp)	WER over numbers only - safety-critical digits
agreement(a, b)	Symmetric [0, 1] overlap of two transcripts (1 = identical), for model-vs-model voting
ladder(ref, hyp)	WER at each normalization rung, raw to semantic
process(ref, hyp)	Full WerResult - every metric plus per-utterance and distribution stats

normalize(text) exposes the normalization step on its own. WerConfig, the profiles presets, and the vocab term lists let you tune phraseology handling.