no code implementations • 26 Oct 2022 • Jianqiao Cui, Stefan Bleeck
In the FEB a U-net block is used to extract abstract features using complex-valued spectra with one path to suppress the background noise in the magnitude domain using masking methods and the MB takes magnitude features from the FEBand compensates the lost complex-domain features produced from ComEB to restore the final cleaned speech.
no code implementations • 16 Oct 2020 • Mahdie Karbasi, Stefan Bleeck, Dorothea Kolossa
The estimation of speech intelligibility is still far from being a solved problem.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2