Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.
-
Updated
Jun 27, 2022
#
wer
Here are 24 public repositories matching this topic...
Evaluate your speech-to-text system with similarity measures such as word error rate (WER)
-
Updated
Feb 15, 2025 - Python
Python code for various NLP metrics
-
Updated
Oct 17, 2019 - Jupyter Notebook
STT 한글 문장 인식기 출력 스크립트의 외자 오류율(CER), 단어 오류율(WER)을 계산하는 Python 함수 패키지
aws amazon test speech-recognition openai korean speech-to-text evaluation-functions evaluation-metrics normalization cer transcribe evaluate speech-analysis wer word-error-rate text-evaluation text-digitisation character-error-rate computing-error-rates
-
Updated
Jun 18, 2025 - Python
Evaluate results from ASR/Speech-to-Text quickly
diff statistics evaluation comparison speech-recognition accuracy words speech-to-text stt difference asr mismatches wer word-error-rate transcriptions punctuations insertions
-
Updated
Dec 28, 2021 - JavaScript
Calculates the word error rate of two strings, and the result is written into beautify HTML.
-
Updated
Mar 19, 2020 - Python
🐍📦 Ultra-fast Python package for calculating and analyzing the Word Error Rate (WER). Built for the scalable evaluation of speech and transcription accuracy.
python nlp metrics levenshtein-distance automatic-speech-recognition speech-to-text stt asr python-package wer word-error-rate stt-benchmark asr-evaluation werpy
-
Updated
Dec 8, 2025 - Python
Machine Translation (MT) Evaluation Scripts
-
Updated
May 19, 2024 - Python
🐍📦 Easy-to-use Python package for lightning-fast Word Error Rate (WER) analysis
metrics levenshtein-distance automatic-speech-recognition speech-to-text stt asr wer word-error-rate werx python-rust
-
Updated
May 19, 2025 - Python
A simple Python package to calculate word error rate (WER).
-
Updated
Feb 7, 2021 - Python
This repo shows how to finetune the wav2vec2.0 model along with its prerequisites.
-
Updated
May 12, 2024 - Jupyter Notebook
Custom plugin for windows error reporting
-
Updated
Feb 27, 2021 - C++
Developed a Marathi speech-to-text application using the Hugging Face whisper ASR models. Trained the model with a custom audio dataset and fine-tuned it for optimized performance. Deployed the model on the Hugging Face Model Hub, achieving a WER of 0.74 for the base model.
python ai voice pytorch artificial-intelligence voice-recognition speech-recognition openai automatic-speech-recognition speech-to-text whisper marathi asr voice-assistant wer word-error-rate huggingface marathi-language trasnformers gopiashokan
-
Updated
Jan 29, 2024 - Jupyter Notebook
Word Error Rate computation using components from huggingface-evaluate and openai-whisper projects
-
Updated
Dec 30, 2024 - HTML
Calculates the word error rate between the reference and hypothesis in ASR, then print the aligned result.
-
Updated
Jun 24, 2024 - C++
Exploring the functionality of the werpy Python package through testing within the Gradio tool for interactive user interface development.
-
Updated
Mar 21, 2025 - Python
Evaluating the werpy Python package for UI development by testing it within PyScript for seamless integration and user interface exploration
-
Updated
Dec 8, 2023 - HTML
Improve this page
Add a description, image, and links to the wer topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the wer topic, visit your repo's landing page and select "manage topics."