Skip to content

Real-time with Windows Speech Recognition

Choose a tag to compare

View all tags
@Simha-Reddy Simha-Reddy released this 24 Apr 01:10
v1.2.0
5178c7c
This commit was created on GitHub.com and signed with GitHub’s verified signature.
GPG key ID: B5690EEEBB952194
Verified
Learn about vigilant mode.

REPLACED WHISPER WITH WINDOWS SPEECH RECOGNITION

The whole thing is simplified now. Just the Flask backend (run_local_server.py) that now starts and stops a small C# console app that uses the Windows Speech Recognition (WSR) engine built into Windows. The accuracy is terrible, especially for clinical terms. However, it seems most LLMs can figure out much of what was likely actually. This release it to trial the trade-offs between real-time functioning and initial transcription accuracy. The default prompts have the LLM first attempt to correct the transcript, then have the user verify before proceeding to note generation.

Instructions:

  1. Have Python installed and included in your PATH
  2. Open the zipped file and move the SimpleScribeVA folder to your desktop
  3. Click Setup.bat. Process needed the first time only on each of your computers
  4. Click StartSimpleScribeVA.bat to get rolling

The included changelog and readme are incorrect. Windows Speech Recognition is on the device, so it remains an offline option, at least for this transcription portion

Assets 3
Loading