Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.

Evaluate your speech-to-text system with similarity measures such as word error rate (WER)

Python code for various NLP metrics

MeetEval - A meeting transcription evaluation toolkit

STT 한글 문장 인식기 출력 스크립트의 외자 오류율(CER), 단어 오류율(WER)을 계산하는 Python 함수 패키지

Evaluate results from ASR/Speech-to-Text quickly

🐍📦 Ultra-fast Python package for calculating and analyzing the Word Error Rate (WER). Built for the scalable evaluation of speech and transcription accuracy.

Calculates the word error rate of two strings, and the result is written into beautify HTML.

Machine Translation (MT) Evaluation Scripts

A lightweight library for normalizing speech transcripts before computing WER

🐍📦 Easy-to-use Python package for lightning-fast Word Error Rate (WER) analysis

A simple Python package to calculate word error rate (WER).

Go CLI wrapper around SCTK binaries for word error rate evaluation and error analysis for ASR systems.

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.

This repo shows how to finetune the wav2vec2.0 model along with its prerequisites.

📍 Get your geolocation information

Custom plugin for windows error reporting

Word Error Rate computation using components from huggingface-evaluate and openai-whisper projects

Calculates the word error rate between the reference and hypothesis in ASR, then print the aligned result.

Exploring the functionality of the werpy Python package through testing within the Gradio tool for interactive user interface development.