117 citations · 129 across the 11 of their papers we have counts for
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eess.AS2022★ 4 cited
CCATMos: Convolutional Context-aware Transformer Network for Non-intrusive Speech Quality Assessment
Yuchen Liu, Li-Chia Yang, Alex Pawlicki +1
Speech quality assessment has been a critical component in many voice communication related applications such as telephony and online conferencing. Traditional intrusive speech qua…
eess.AS2022★ 3 cited
Self-Supervised Learning for Speech Enhancement through Synthesis
Bryce Irvin, Marko Stamenovic, Mikolaj Kegler +1
Modern speech enhancement (SE) networks typically implement noise suppression through time-frequency masking, latent representation masking, or discriminative signal prediction. In…