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Found 3 papers, 1 papers with code
Super Denoise Net: Speech Super Resolution with Noise Cancellation in Low Sampling Rate Noisy Environments
Speech super-resolution (SSR) aims to predict a high resolution (HR) speech signal from its low resolution (LR) corresponding part.
Multi-Loss Convolutional Network with Time-Frequency Attention for Speech Enhancement
By combining the DPRNN module with Convolution Recurrent Network (CRN), the DPCRN obtained a promising performance in speech separation with a limited model size.
mdctGAN: Taming transformer-based GAN for speech super-resolution with Modified DCT spectra
Speech super-resolution (SSR) aims to recover a high resolution (HR) speech from its corresponding low resolution (LR) counterpart.
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