Conditions for recognition of files 8 kHz. What needs to be changed?

I need to recognize speech in files up to 5 minutes 8 kHz. With files 16 kHz, up to 10 seconds, everything is fine. That is how to deal with a large file, where the words of 40 and more. Split into 10 seconds?
And for 8 kHz, is it necessary to edit client.py for learning on data with a frequency of 8 kHz? Anything else you need to do?

Pre-trained models are only 16kHz, you need to re-train from scratch with 8 kHz. Or try to upsample, but this will create artifacts and in our experience requires some more processing to avoid screwing up recognition.

There is also an example of transcribing longer files described here.

In addition they describe how to upsample to 16KHz.

Thanks for the answer. I use learning from scratch. To use audio data for training with a frequency of 8 kHz, no additional changes in the files do not need?

Thank. This is what I need for long files.

For training no, for inference, you should need to change the 16kHz references we have in the code.

I need more data to train a model at 8 kHz than at 16, right?