A fast implementation of bss_eval metrics for blind source separation
Do you have a zillion BSS audio files to process and it is taking days ?
Is your simulation never ending ?Fear no more!
fast_bss_evalis here to help you!
fast_bss_eval is a fast implementation of the bss_eval metrics for the
evaluation of blind source separation. Our implementation of the bss_eval
metrics has the following advantages compared to other existing ones.
- seemlessly works with both numpy arrays and pytorch tensors
- very fast
- can be even faster by using an iterative solver (add
use_cg_iter=10option to the function call) - differentiable via pytorch
- can run on GPU via pytorch