Evaluate your speech-to-text system with similarity measures such as word error rate (WER)
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Updated
May 6, 2024 - Python
Evaluate your speech-to-text system with similarity measures such as word error rate (WER)
STT 한글 문장 인식기 출력 스크립트의 외자 오류율(CER), 단어 오류율(WER)을 계산하는 Python 함수 패키지
Calculates the word error rate of two strings, and the result is written into beautify HTML.
Takes audio and reference transcriptions in bulk and generates WER
🐍📦 Rapidly calculate and analyze the Word Error Rate (WER) with this powerful yet lightweight Python package.
Python tools to compare output transcript to reference
A simple Python package to calculate word error rate (WER).
Implementation of a couple of heuristics that estimate OCR quality without reliance on ground truth data, focusing on historical documents written in English.
Exploring the functionality of the werpy Python package through testing within the Gradio tool for interactive user interface development.
Word Error Rate computation using components from huggingface-evaluate and openai-whisper projects
Calculate the word error rate (WER) from provided correct and actual text file(s), for measuring the accuracy of automated speech recognition systems.
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