{"library":"whisper-normalizer","type":"library","category":null,"description":"Whisper Normalizer (version 0.1.12) is a Python package that implements the text standardization and normalization approach used in OpenAI's Whisper ASR model. It provides robust text normalization functionalities, crucial for evaluating Automatic Speech Recognition (ASR) systems by reducing unintentional penalties in metrics like WER and CER. The library extends beyond basic English normalization to include specialized normalizers for Indic languages, addressing challenges such as diacritic preservation. The project appears to have an active development and release cadence.","language":"python","status":"active","version":"0.1.12","tags":["text processing","nlp","whisper","normalization","ASR","indic languages"],"last_verified":"Sun May 24","install":[{"cmd":"pip install whisper-normalizer","imports":["from whisper_normalizer.english import EnglishTextNormalizer","from whisper_normalizer.basic import BasicTextNormalizer","from whisper_normalizer.indic_normalizer import MalayalamNormalizer"]}],"homepage":"https://kurianbenoy.github.io/whisper_normalizer/","github":"https://github.com/kurianbenoy/whisper_normalizer","docs":null,"changelog":null,"pypi":"https://pypi.org/project/whisper-normalizer/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":2.3,"avg_import_s":0.16,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/whisper-normalizer/compatibility"}}