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WhisperS2T
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WhisperS2T

An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Engine

by shashikg · GitHub
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asrdeep-learningspeech-recognitionMITJupyter Notebook
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Transcribe spoken words into text quickly using an optimized speech-to-text tool designed for the Whisper model.

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2026-07-202026-08-31
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📄 About

An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Engine

WhisperS2T has 577 stars on GitHub. It has been forked 76 times. WhisperS2T is written mainly in Jupyter Notebook. It has been in active development since 2023. WhisperS2T is available under the MIT license. Its main topics are asr, deep-learning, speech-recognition, speech-to-text.

Frequently asked questions

What is WhisperS2T?

An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Engine

Is WhisperS2T open source?

WhisperS2T is an open-source project. It is released under the MIT license.

Is WhisperS2T free?

Yes. WhisperS2T is free and open source — you can use, modify and self-host it.

What license does WhisperS2T use?

WhisperS2T is available under the MIT license.

What language is WhisperS2T written in?

WhisperS2T is written mainly in Jupyter Notebook.

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