most citedmdctGAN: Taming transformer-based GAN for speech super-resolution with Modified DCT spectra

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

eess.AS2023

Super Denoise Net: Speech Super Resolution with Noise Cancellation in Low Sampling Rate Noisy Environments

Junkang Yang, Hongqing Liu, Lu Gan +1

Speech super-resolution (SSR) aims to predict a high resolution (HR) speech signal from its low resolution (LR) corresponding part. Most neural SSR models focus on producing the fi…

eess.AS2023★ 1 cited

mdctGAN: Taming transformer-based GAN for speech super-resolution with Modified DCT spectra

Chenhao Shuai, Chaohua Shi, Lu Gan +1

Speech super-resolution (SSR) aims to recover a high resolution (HR) speech from its corresponding low resolution (LR) counterpart. Recent SSR methods focus more on the reconstruct…