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…
cs.SD2023
Multi-Loss Convolutional Network with Time-Frequency Attention for Speech Enhancement
Liang Wan, Hongqing Liu, Yi Zhou +1
The Dual-Path Convolution Recurrent Network (DPCRN) was proposed to effectively exploit time-frequency domain information. By combining the DPRNN module with Convolution Recurrent…