43 citations · 50 across the 6 of their papers we have counts for
3 papers · 1 filter
Iterative autoregression: a novel trick to improve your low-latency speech enhancement model
Pavel Andreev, Nicholas Babaev, Azat Saginbaev +2
Streaming models are an essential component of real-time speech enhancement tools. The streaming regime constrains speech enhancement models to use only a tiny context of future in…
FFC-SE: Fast Fourier Convolution for Speech Enhancement
Ivan Shchekotov, Pavel Andreev, Oleg Ivanov +2
Fast Fourier convolution (FFC) is the recently proposed neural operator showing promising performance in several computer vision problems. The FFC operator allows employing large r…
HiFi++: a Unified Framework for Bandwidth Extension and Speech Enhancement
Pavel Andreev, Aibek Alanov, Oleg Ivanov +1
Generative adversarial networks have recently demonstrated outstanding performance in neural vocoding outperforming best autoregressive and flow-based models. In this paper, we sho…