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Runqiang Han

3 accepted papers

2024

BAE-Net: a Low Complexity and High Fidelity Bandwidth-Adaptive Neural Network for Speech Super-Resolution

ICASSP 2024accepted

Speech bandwidth extension (BWE) has demonstrated promising performance in enhancing the perceptual speech quality in real communication systems. Most existing BWE researches primarily focus on fixed upsampling ratios, disregarding the fact that the effective bandwidth of captured audio may fluctuat…

Cited by 0SourceScholar
2023

A Low-Latency Deep Hierarchical Fusion Network for Fullband Acoustic Echo Cancellation

ICASSP 2023accepted

This paper describes our submission to the fourth Acoustic Echo Cancellation (AEC) Challenge, which is part of ICASSP 2023 Signal Processing Grand Challenge. The proposed system is developed based on our earlier system submitted to the ICASSP 2022 AEC challenge with significant latency and network s…

Cited by 3SourceScholar
2022

A Deep Hierarchical Fusion Network for Fullband Acoustic Echo Cancellation

ICASSP 2022accepted

Deep learning based wideband (16kHz) acoustic echo cancellation (AEC) approaches have surpassed traditional methods. This work proposes a deep hierarchical fusion (DHF) network with intra-network and inter-network fusion to further improve the wideband AEC performance. Meanwhile, this work extends t…

Cited by 0SourceScholar