Metadata-Version: 2.4
Name: airwer
Version: 0.1.0
Summary: Word Error Rate for Air Traffic Control
Project-URL: Repository, https://github.com/twangodev/airwer
Project-URL: Issues, https://github.com/twangodev/airwer/issues
Author-email: James Ding <james@twango.dev>
License: Apache-2.0
License-File: LICENSE
Keywords: air-traffic-control,asr,atc,jiwer,normalization,speech-recognition,wer
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Multimedia :: Sound/Audio :: Speech
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Typing :: Typed
Requires-Python: >=3.9
Requires-Dist: jiwer<5,>=4.0
Description-Content-Type: text/markdown

# airwer

Word Error Rate for Air Traffic Control.

## Install

```bash
pip install airwer
```

## Usage

```python
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
```
