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Voice & audio

yeyupiaoling/Whisper-Finetune

Fine-tune the Whisper speech recognition model to support training without timestamp data, training with timestamp data, and training without speech data. Accelerate inference and support Web deployme

Apache-2.0C
Stars
1.2k
Forks
219
Open issues
1
Last push
5mo ago

About Whisper-Finetune

Whisper-Finetune is a free, open-source AI voice and audio tool by yeyupiaoling, written mainly in C. Fine-tune the Whisper speech recognition model to support training without timestamp data, training with timestamp data, and training without speech data. Accelerate inference and support Web deployme. It has 1.2k GitHub stars and 219 forks, and was last updated 5mo ago. It's released under the Apache-2.0 license, a standard open-source license.

License
Apache-2.0
Language
C
Stars
1,222
Last update
5mo ago
Runs on Mac
Not stated
GPU
Not stated
Paid API key
Not stated
Self-hostable
Not stated

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Whisper-Finetune FAQ

Is Whisper-Finetune free?

Yes. Whisper-Finetune is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.

Does Whisper-Finetune run on a Mac?

The project doesn't say. Check its installation guide before you start.

Does Whisper-Finetune need a GPU?

The project doesn't state hardware needs. AI models generally run much faster with a GPU.

Is Whisper-Finetune still maintained?

It was last updated 5mo ago. Check recent issues on GitHub to judge how active it is.

What are alternatives to Whisper-Finetune?

Similar free, open-source tools include transformers, FunASR, whisper.cpp, Speech.

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