-
Notifications
You must be signed in to change notification settings - Fork 3.9k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Add function to clear model words #48
Labels
enhancement
New feature or request
Comments
Before extending the interface of Line 169 in b2f1600
|
Setting |
ggerganov
added a commit
that referenced
this issue
Oct 15, 2022
This way, even if the input audio is empty, the previous results will be removed.
I think the latest change should resolve your problem - give it a try |
It does fix the issue, thanks! |
mattsta
pushed a commit
to mattsta/whisper.cpp
that referenced
this issue
Apr 1, 2023
Adding scoop install to setup for windows for ffmpeg
anandijain
pushed a commit
to anandijain/whisper.cpp
that referenced
this issue
Apr 28, 2023
This way, even if the input audio is empty, the previous results will be removed.
jacobwu-b
pushed a commit
to jacobwu-b/Transcriptify-by-whisper.cpp
that referenced
this issue
Oct 24, 2023
This way, even if the input audio is empty, the previous results will be removed.
kultivator-consulting
pushed a commit
to KultivatorConsulting/whisper.cpp
that referenced
this issue
Feb 12, 2024
Add token_to_cstr
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Hi there! I'm trying to save compute resources by reusing
WhisperContext
objects in a STT server instance, but if no words were detected in the audio, it will cause whatever words were found in the last transcription that had words detected to be spit out again. This is a major issue, and I'd like a way to prevent this. The easiest way I can think of is adding a function to clear the words stored in the model. I considered adding such a feature to my app, but I realized this could cause serious overhead and introduce user privacy risks from storing many sentences compared to just clearing the words from the model itself. Thanks!The text was updated successfully, but these errors were encountered: