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github.com/reriiasu/speech-to-text
Real-time transcription using faster-whisper
Accepts audio input from a microphone using a Sounddevice. By using Silero VAD(Voice Activity Detection), silent parts are detected and recognized as one voice data. This audio data is converted to text using Faster-Whisper.
The HTML-based GUI allows you to check the transcription results and make detailed settings for the faster-whisper.
If the sentences are well separated, the transcription takes less than a second.
Large-v2 model
Executed with CUDA 11.7 on a NVIDIA GeForce RTX 3060 12GB.
Please execute "run.bat." It will perform the following actions:
If you use the OpenAI API for text proofreading, set OPENAI_API_KEY as an environment variable.
Save and load previous settings.
Use Silero VAD
Allow local parameters to be set from the GUI.
Supports additional options in faster-whisper 0.8.0
FAQs
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