hyeonsangjeon/computing-Korean-STT-error-rates
STT 한글 문장 인식기 출력 스크립트의 외자 오류율(CER), 단어 오류율(WER)을 계산하는 Python 함수 패키지
This tool helps evaluate the accuracy of Korean Speech-to-Text (STT) systems. You provide the original, correct Korean text and the text produced by an STT system. It then calculates character error rate (CER) or word error rate (WER) to show how well the STT system transcribed the speech. Anyone involved in developing, testing, or comparing Korean STT technologies, such as speech engineers or NLP researchers, would use this.
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Use this if you need to objectively measure and compare the performance of different Korean speech recognition models or identify areas for improvement.
Not ideal if you need detailed linguistic analysis of translation errors beyond simple character/word discrepancies or are working with non-Korean languages.
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Python
License
MIT
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Last pushed
Jun 18, 2025
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