Recent content by porgate55555

Nice, I did the same. Sure, please feel free.

Need to try it but deepseek usually has an issue with sending the whole file at once. Token max is reached pretty soon.

They are really slow. One line of sub takes generelly 1.5s.

I played around with deepseek and VSM and have no idea how it works for you. For me, half the subtitle is not translated and the other half is empty. Therefore, I wrote my own little script which does the exact same thing. I also tried one which works with chunks instead of each line seperately...

Tried deepseek (free version) and the results are way better than deepl. I see the tokens are cheaper than ChatGPT but what is your usual cost per subitle file as a reference?

Really? Even though you loose the explicit language?

Have you tried using deepl? If yes, how does it compare to Deepseek?

Just drag it into your GDrive, double click and it opens as the normal whisper script would. Then just adjust the one line I mentioned in my last post

I downloaded my adapted script. Just upload it to your colab. Works slightly different. Make sure to change this line in the code to the path where you store the audio: audio_folder = "/content/drive/MyDrive/Colab Notebooks/" It will pick the audio from there and run it.

This one: https://colab.research.google.com/github/meizhong986/WhisperJAV/blob/main/notebook/WhisperWithVAD_pro.ipynb#scrollTo=sos9vsxPkIN7

These are two vastly different whisper implementations. Whisperjav 0.7 has a lot more clean-up built in, which makes the immediate results seem better but the overall precision is lower due to the use of faster-whisper. Yes, it is faster and more cleaned right out of the colab but quality wise...

Yes, large-v2. Was also using large-v1 and large-v3 but all of them have the same flaw. There seems no apparent reason. Sometimes it is perfectly fine but then completely out of sync. Even retrying does not solve the issue.

Does anybody else experiences timing issues fairly often when using WhisperWithVAD (up to ~30sec sometimes)?

Yeah, had the same observation. Seems Whisper is really strict with the package range they allow and manually forcing other versions results only in more/other issues.

I think this is code he's using: https://colab.research.google.com/github/ANonEntity/WhisperWithVAD/blob/main/WhisperWithVAD.ipynb