Using STT about self-supervised-speech-recognition HOT 6 OPEN

If you can, try to download the model and run inference on your own local machine.
.
If you can't, then In your colab try:
import sys
sys.argv.append('/test/data')
print(sys.argv)
It should print out something like this:

['/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py',
 '-f',
 '/root/.local/share/jupyter/runtime/kernel-dff03990-da23-4aef-8dd0-6fdf9d4cbee2.json',
 '/test/data']

In your case the sys.argv only have 3 elements, which may be the problem
You can modify this line of code to fix the problem:

from self-supervised-speech-recognition.

it turns out the error caused by cargparse having conflict với notebook so we had tried pass arg -f and it working but come to a new problem no module named 'examples.speech_recognition'. Is it because we have a problem with the installation or it comes from the import ?

from self-supervised-speech-recognition.

the "examples.speech_recognition.w2l_decoder" is located inside the installed fairseq directory.
Could you please changing the import from examples.speech_recognition.w2l_decoder to the actual path of installed fairseq ?

from self-supervised-speech-recognition.

@NhacBatQuan You just copy folder examples into usr/local on google colab. (ex: !cp -r /content/self-supervised-speech-recognition/fairseq/examples /usr/local/lib/python3.7/dist-packages). It's work!

from self-supervised-speech-recognition.

I follow the step(4.1 Make prediction on multiple audios programmatically), however, I meet this message(ImportError: cannot import name 'Transcriber' from 'stt').

Could you provide the right version of stt?

from self-supervised-speech-recognition.

You should call the import from the inside of "self-supervised-speech-recognition" directory

from self-supervised-speech-recognition.