i4Ds/whisper-finetune
This repository contains code for fine-tuning the Whisper speech-to-text model.
This project helps machine learning engineers and researchers adapt the Whisper speech-to-text model for specific audio environments or accents. You provide an existing Whisper model and specialized audio datasets, and the project outputs a refined Whisper model that performs better on your unique data. It's designed for professionals working with speech recognition models.
Use this if you need to improve the accuracy of speech-to-text transcription for audio data that differs significantly from standard training sets, such as domain-specific jargon or unusual acoustic conditions.
Not ideal if you are looking for a pre-trained, off-the-shelf transcription service or a tool for basic audio file conversion without needing to customize the underlying model.
Stars
22
Forks
6
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 18, 2026
Commits (30d)
0
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