Topic: wer Goto Github
Some thing interesting about wer
Some thing interesting about wer
wer,Calculates the word error rate of two strings, and the result is written into beautify HTML.
User: 0ximalice
wer,ππ¦ Rapidly calculate and analyze the Word Error Rate (WER) with this powerful yet lightweight Python package.
Organization: analyticsinmotion
Home Page: https://www.analyticsinmotion.com
wer,:round_pushpin: Get your geolocation information
User: bukinoshita
wer,Calculates the word error rate between the reference and hypothesis in ASR, then print the aligned result.
User: dangkhoadl
wer,Python code for various NLP metrics
User: gcunhase
wer,Custom plugin for windows error reporting
User: glensand
wer,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.
User: gopiashokan
wer,STT νκΈ λ¬Έμ₯ μΈμκΈ° μΆλ ₯ μ€ν¬λ¦½νΈμ μΈμ μ€λ₯μ¨(CER), λ¨μ΄ μ€λ₯μ¨(WER)μ κ³μ°νλ Python ν¨μ ν¨ν€μ§
User: hyeonsangjeon
wer,Word Error Rate computation using components from huggingface-evaluate and openai-whisper projects
Organization: ins8ai
Home Page: https://ins8.ai/benchmarks
wer,Evaluate your speech-to-text system with similarity measures such as word error rate (WER)
Organization: jitsi
wer,A simple Python package to calculate word error rate (WER).
User: jumon
wer,Exploring the functionality of the werpy Python package through testing within the Gradio tool for interactive user interface development.
User: rossarmstrong
wer,Evaluating the werpy Python package for UI development by testing it within PyScript for seamless integration and user interface exploration
User: rossarmstrong
wer,This repo shows how to finetune the wav2vec2.0 model along with its prerequisites.
User: sarasadeghii
wer,Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.
User: syhw
wer,Evaluate results from ASR/Speech-to-Text quickly
Organization: symblai
wer,gserg werg werg wer g
User: wiut00015614
Home Page: https://apple.com
wer,Machine Translation (MT) Evaluation Scripts
User: ymoslem
Home Page: https://blog.machinetranslation.io/tag/machine-translation-evaluation/
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