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Here's a podcast that uses NotebookLM, but python is telling me: The audio is: Human for the first episode mp3
The audio is: Human
https://serve.podhome.fm/rss/2cd114fe-ae01-4d1e-90b0-22f7e51618b9
Can you confirm? Want to rule out some python setup issue on my side.
The text was updated successfully, but these errors were encountered:
Hi @johnspurlock
Confirmed. The current model is unable to correctly classify this audio as AI-generated.
It's likely that the audio has been edited, differing from other raw NotebookLM-generated audio files.
Sorry, something went wrong.
Hi @johnspurlock Confirmed. The current model is unable to correctly classify this audio as AI-generated. It's likely that the audio has been edited, differing from other raw NotebookLM-generated audio files.
I just trained on more audio files (a few hundreds), and the latest model works for this specific audio.
You can git pull & try again.
et voilà! The audio is: AI Generated
The audio is: AI Generated
What is the best way to help this effort? Send PRs to the CSV when new notebooklm shows are found?
No branches or pull requests
Here's a podcast that uses NotebookLM, but python is telling me:
The audio is: Human
for the first episode mp3https://serve.podhome.fm/rss/2cd114fe-ae01-4d1e-90b0-22f7e51618b9
Can you confirm? Want to rule out some python setup issue on my side.
The text was updated successfully, but these errors were encountered: