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Experimental code: sound file preprocessing to optimize Whisper transcriptions without hallucinated texts

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@EtienneAb3d Is there a way to get the timestamps of each sentence/word once the transcription is done? I only get the result transcription text

``` Traceback (most recent call last): File "C:\Apps\WhisperHallu\transcribeHallu.py", line 404, in transcribeMARK if(transcribe_options["word_timestamps"]): ``` Can't get the application to work properly with `addSRT=True` set - otherwise I get no output...

Hi there, I don't have a lot of knowledge about programming, and I'm struggling to deal with your tool. I tried to use the tool in Jupyter Anaconda. I installed...

Does your program work in this program and if so, how?

Hi, Thank you for sharing this. I’ve been trying to use it but kept encountering the problem: 100%|█████████████████████████████████████| 2.87G/2.87G [07:12

So from what I've seen when the script runs it attempts to run as a GPU if one is present, which of course is great. In fact I think it's...

I run the same as you, the results are good, but the "segment" time is wrong compared to the real time of the audio. So is there a way when...

Just wondering if it is possible to add support for using Whisper via API instead of locally

Hi! I've followed your know-how step by step in a linux machine. However, I haven't managed to make it work. I execute ```python ``` and here is the output it...

1. add main.py for the example 2. add support for chinese 3. add support custom faster whisper model