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Hope to discuss the RSS+NS based on PercepNet. I want to combine the AEC linear part from webrtc with PercepNet implementation to improve the RSS/NS of webrtc.
The text was updated successfully, but these errors were encountered:
Hi,
that's interesting thing, I'm happy to extend percepnet,
author of PercepNet already implemented it in this papaer https://arxiv.org/pdf/2102.05245.pdf
probably you should follow this approach.
the main different between percepnet and aec-combined-percepnet is
percepnet => input = noisy , output = clean,
aec-combined-percepnet input = (aec-processed-noisy, farend signal) ,output = clean
to do so you should make framework which can generate aec processed noisy signal, from far-end and noisy file
also, you need to add another input head to percepnet model
however, on a recent paper MTFAANET, they use aec-processed noisy singal as conditional input and they apply mask to original noisy file to reduce distortion from aec.
Hi all,
Hope to discuss the RSS+NS based on PercepNet. I want to combine the AEC linear part from webrtc with PercepNet implementation to improve the RSS/NS of webrtc.
The text was updated successfully, but these errors were encountered: