davabase/whisper_real_time
A real-time audio transcription demo using OpenAI's Whisper speech-to-text model.
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This repository provides a demonstration of real-time speech-to-text transcription by continuously recording audio in a background thread and feeding it to OpenAI’s Whisper model for transcription. It uses ffmpeg for audio processing and requires the Whisper model to be installed. The application runs transcription on concatenated audio segments as they are recorded.
Frequently asked
- What is davabase/whisper_real_time?
- A real-time audio transcription demo using OpenAI's Whisper speech-to-text model.
- Is whisper_real_time open source?
- Yes — davabase/whisper_real_time is an open-source project tracked on heatdrop.
- What language is whisper_real_time written in?
- davabase/whisper_real_time is primarily written in Python.
- How popular is whisper_real_time?
- davabase/whisper_real_time has 2.9k stars on GitHub.
- Where can I find whisper_real_time?
- davabase/whisper_real_time is on GitHub at https://github.com/davabase/whisper_real_time.