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This caused two issues, it meant that quarter of a second pauses interrupted each time step, making the phrase timeout slightly inaccurate and most importantly, it meant that the infinite loop wasn't being slept whenever there wasn't data in the queue, which makes it keep running with no pause |
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| README.md | ||
| requirements.txt | ||
| transcribe_demo.py | ||
Real Time Whisper Transcription
This is a demo of real time speech to text with OpenAI's Whisper model. It works by constantly recording audio in a thread and concatenating the raw bytes over multiple recordings.
To install dependencies simply run
pip install -r requirements.txt
in an environment of your choosing.
Whisper also requires the command-line tool ffmpeg to be installed on your system, which is available from most package managers:
# on Ubuntu or Debian
sudo apt update && sudo apt install ffmpeg
# on Arch Linux
sudo pacman -S ffmpeg
# on MacOS using Homebrew (https://brew.sh/)
brew install ffmpeg
# on Windows using Chocolatey (https://chocolatey.org/)
choco install ffmpeg
# on Windows using Scoop (https://scoop.sh/)
scoop install ffmpeg
For more information on Whisper please see https://github.com/openai/whisper
The code in this repository is public domain.