An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Engine
Transcribe spoken words into text quickly using an optimized speech-to-text tool designed for the Whisper model.
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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.
An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Engine
WhisperS2T is an open-source project. It is released under the MIT license.
Yes. WhisperS2T is free and open source — you can use, modify and self-host it.
WhisperS2T is available under the MIT license.
WhisperS2T is written mainly in Jupyter Notebook.
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