Progress Information possible about allosaurus

[xinjli]

the most time-consuming part is inside the pytorch's forward logic, I think there is no feature allowing you to look into the progress.

However, I think you can have a very good estimate by looking at the audio length.
The inference time is proportional to the audio length almost exactly.
if you know how much time it costs for 1 sec audio, then you can guess the progress for much longer audio based on its length.

[steveway]

I see, I've added some logic to our program to do exactly that.
I need to test some longer files to see how accurate this is.
This way the progress is not as accurate but the result will not be changed by splitting the input.

Do you have some experience on how allosaurus behaves on long files actually?

[xinjli]

I tend to split the audio if they are longer than 30 sec. It probably would have some issues when audio file is too large, because the inference will use lots of memory.
I think you can do the same by detecting the silence as people would not continue to speak forever.
You can use voice activity detection to split by the silence. It typically would not affect the performance.