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.
1 maintainer
Metadata
1 maintainer
Release files for airwer 0.2.4
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Total release size: 111.2 kB
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