teamtee/LLM-ASR-Error-Correction

This is a framework for using large language models to improve ASR recognition accuracy. You need to provide the recognized text and tag files to fill out the large model API.

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Emerging

This project helps speech recognition engineers or researchers improve the accuracy of their Automatic Speech Recognition (ASR) systems. It takes pre-recognized text files from an existing ASR system, uses a Large Language Model (LLM) to correct errors, and outputs refined, more accurate transcripts. This tool is for professionals focused on enhancing the precision of speech-to-text conversion.

No commits in the last 6 months.

Use this if you need to significantly reduce errors in transcripts generated by your current ASR system, leveraging the power of large language models.

Not ideal if you are looking for a standalone ASR system or don't have pre-recognized text outputs from an existing ASR pipeline.

speech-to-text transcription-accuracy audio-processing natural-language-processing language-model-integration
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 10 / 25

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Stars

14

Forks

2

Language

Python

License

MIT

Last pushed

Jun 05, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/teamtee/LLM-ASR-Error-Correction"

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