Linux Mint: Killed, crash during transcription

[mv1769]

Good evening,

I've had NoScribe crash several times now when transcribing, and the command table says ‘Killed’. Do you have the same problem? Does anyone know what's going on and how to fix it?

[kaixxx]

Hmm, no, I have no idea. For a start, can you tell me more about your system? Are you on Windows, Mac, Linux? If on Windows, are you using cuda or not?

[kaixxx]

Ah, and which model are you using for transcription? The default "precise" setting?

[mv1769]

Yes sorry ! I'm on Linux Mint and I'm using "precise" for transcription because with others I have an error message for model.bin...

but I resolve it

[kaixxx]

Thank you. A few more questions:

• What Python version do you use? I would recommend 3.12.
• Did you download the following model in the /model/precise folder: https://huggingface.co/mobiuslabsgmbh/faster-whisper-large-v3-turbo? This is the one I recommend.
• Did you make any other changes to resolve the issues you had?

[mv1769]

• I think I use python 3.10 because in my command line I have :

</home/.../.../noScribe-0.6/.venv/lib/python3.10/site-packages/pyannote/audio/models/blocks/pooling.py:104: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at /pytorch/aten/src/ATen/native/ReduceOps.cpp:1831.)

std = sequences.std(dim=-1, correction=1)>

(I'm a beginner on Linux so maybe I did something wrong...)

• Yes I downloaded it in this folder and II copied and pasted them from faster-whisper-large-v3-turbo to the precise folder :

• Yes, one of the main changes we made at the time of installation was that the lines in the text editor did not correspond to these indications:

"Edit the noScribe.py file as follow in order to be able to open noScribeEditor from noScribe
Edit line 566 so that it reads
program = os.path.join(app_dir, 'noScribeEdit', "noScribeEdit.py")
Edit line 578 so that it reads
Popen(['python3', program, file], **kwargs) #might need to be python instead of python3 depending on your environment
Edit line 580 so that it reads
Popen(['python3', program], **kwargs)"

so we put them in these lines:

line 753 : (maybe I made an error because it's not NoScribe.py but NoScribe.exe ... )

line 775 and 777 :

[mv1769]

and I discover this morning that the html file exist in my folder even if the AI disappeared.... (but it's much shorter than I thought, I had reduced the length to 30 minutes, but I had to make a mistake and put 30 seconds... attention problems don't help!)

[kaixxx]

Thank you, that looks fine.

I discover this morning that the html file exist in my folder even if the AI disappeared

Interesting. We had a similar error (still unresolved) where noScribe crashes after the transcription is finished (so far only reported on Windows and with cuda). Is it the same in your case?

[mv1769]

I think it's not the same because it crashes before the end, as we can see here :

the html file contains the first two minutes before ‘killed’ whereas I had asked for 30 minutes as you can see from the command above (see the INFO faster whisper line)

[kaixxx]

Ok, it seems that there is an issue with the faster-whisper library on your machine. Let's test this with a minimal example.

Please create a new file in the main folder of noScribe and name it test_whisper.py.
Copy and paste the following code into this file:

from faster_whisper import WhisperModel

# adjust the following paths for your system:
model_folder = "C:/path/to/noscribe/models/precise"
audio_input = "C:/path/to/an/audio/file.wav"   # <= mp3 works too

print("loading whisper model...")
model = WhisperModel(model_folder, local_files_only=True)

segments, info = model.transcribe(audio_input)

print("Detected language '%s' with probability %f" % (info.language, info.language_probability))

for segment in segments:
    print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))

Make sure to adjust the paths at the beginning of the script.

Now navigate in your terminal to the noscribe folder and run the script with python3 test_whisper.py. Be patient, it takes some time for the model to load. After a while, you should see the transcribed text appear on your screen. Does it run through?

[mv1769]

Yes ! I tried with or without .venv and ... :
(without .venv) :

python3 test_whisper.py
Traceback (most recent call last):
  File "/home/juleny9687/Téléchargements/noScribe-0.6/test_whisper.py", line 1, in <module>
    from faster_whisper import WhisperModel
ModuleNotFoundError: No module named 'faster_whisper'

(with source .venv/bin/activate) :

python3 test_whisper.py
loading whisper model...
[2025-04-01 13:46:04.073] [ctranslate2] [thread 106801] [warning] The compute type inferred from the saved model is float16, but the target device or backend do not support efficient float16 computation. The model weights have been automatically converted to use the float32 compute type instead.
Killed

[gernophil]

Yes ! I tried with or without .venv and ... : (without .venv) :

python3 test_whisper.py
Traceback (most recent call last):
  File "/home/juleny9687/Téléchargements/noScribe-0.6/test_whisper.py", line 1, in <module>
    from faster_whisper import WhisperModel
ModuleNotFoundError: No module named 'faster_whisper'

That is expected, because you haven't (and also shouldn't have) installed any packages globally.

(with source .venv/bin/activate) :

python3 test_whisper.py
loading whisper model...
[2025-04-01 13:46:04.073] [ctranslate2] [thread 106801] [warning] The compute type inferred from the saved model is float16, but the target device or backend do not support efficient float16 computation. The model weights have been automatically converted to use the float32 compute type instead.
Killed

This seems to be a faster-whisper issue: SYSTRAN/faster-whisper#373. Any other thoughts on this, @kaixxx?

[kaixxx]

@gernophil The issue you've linked was about a particularly large file (> 10h audio). I think this is not the case here, ablbeit the symptoms look similar.

Let's try a different model. Please change two lines in the above code:

• model_folder = "small" (instead of the folder path)
• model = WhisperModel(model_folder, local_files_only=False) (=> changing 'local_files_only' to False, nothing else)

This will download the small model automatically and use it for transcription. Run the script from within your venv.

[mv1769]

It always doesn't work :'( I have :

python3 test_whisper.py
loading whisper model...
config.json: 100%|█████████████████████████| 2.37k/2.37k [00:00<00:00, 9.12MB/s]
vocabulary.txt: 100%|█████████████████████████| 460k/460k [00:03<00:00, 122kB/s]
tokenizer.json: 100%|██████████████████████| 2.20M/2.20M [00:27<00:00, 80.4kB/s]
model.bin: 100%|██████████████████████████████| 484M/484M [29:48<00:00, 270kB/s]
[2025-04-01 15:20:10.900] [ctranslate2] [thread 116790] [warning] The compute type inferred from the saved model is float16, but the target device or backend do not support efficient float16 computation. The model weights have been automatically converted to use the float32 compute type instead.
Killed

and the audio isn't that long, it lasts two hours (and I've already tried taking only the first 30 minutes, but I still got ‘killed’); on the other hand, maybe the file is too heavy and I need to change the format? I'll do a test.

[mv1769]

OR or, given this text in the command line :
"The compute type inferred from the saved model is float16, but the target device or backend do not support efficient float16 computation. The model weights have been automatically converted to use the float32 compute type instead."

is it because my version of Linux or my file (.WAV) are incompatible?