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 deployment, Windows desktop deployment, and Android deployment
Train a speech recognition model to understand and translate spoken language into text, even without certain data types.
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Free · no card · unsubscribe anytimeFine-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 deployment, Windows desktop deployment, and Android deployment
Whisper-Finetune has 1.2k stars on GitHub. It has been forked 219 times. Whisper-Finetune is written mainly in C. It has been in active development since 2023. Whisper-Finetune is available under the Apache-2.0 license. Its main topics are android, asr, chinese, ctranslate2.
What is 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 deployment, Windows desktop deployment, and Android deployment
Is Whisper-Finetune open source?
Whisper-Finetune is an open-source project. It is released under the Apache-2.0 license.
Is Whisper-Finetune free?
Yes. Whisper-Finetune is free and open source — you can use, modify and self-host it.
What license does Whisper-Finetune use?
Whisper-Finetune is available under the Apache-2.0 license.
What language is Whisper-Finetune written in?
Whisper-Finetune is written mainly in C.
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