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07/04/2022
TMGAN-PLC: Audio Packet Loss Concealment using Temporal Memory Generative Adversarial Network
Real-time communications in packet-switched networks have become widely ...
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04/30/2022
Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement
While the deep learning techniques promote the rapid development of the ...
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03/14/2022
TaylorBeamformer: Learning All-Neural Beamformer for Multi-Channel Speech Enhancement from Taylor's Approximation Theory
While existing end-to-end beamformers achieve impressive performance in ...
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03/14/2022
MDNet: Learning Monaural Speech Enhancement from Deep Prior Gradient
While traditional statistical signal processing model-based methods can ...
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02/16/2022
DBT-Net: Dual-branch federative magnitude and phase estimation with attention-in-attention transformer for monaural speech enhancement
The decoupling-style concept begins to ignite in the speech enhancement ...
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02/03/2022
A deep complex network with multi-frame filtering for stereophonic acoustic echo cancellation
In hands-free communication system, the coupling between the loudspeaker...
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10/13/2021
Dual-branch Attention-In-Attention Transformer for single-channel speech enhancement
Curriculum learning begins to thrive in the speech enhancement area, whi...
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09/26/2021
Joint magnitude estimation and phase recovery using Cycle-in-Cycle GAN for non-parallel speech enhancement
For the lack of adequate paired noisy-clean speech corpus in many real s...
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09/01/2021
Embedding and Beamforming: All-neural Causal Beamformer for Multichannel Speech Enhancement
The spatial covariance matrix has been considered to be significant for ...
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06/24/2021
A Simultaneous Denoising and Dereverberation Framework with Target Decoupling
Background noise and room reverberation are regarded as two major factor...
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06/22/2021
Glance and Gaze: A Collaborative Learning Framework for Single-channel Speech Enhancement
The capability of the human to pay attention to both coarse and fine-gra...
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06/22/2021
Learning to Inference with Early Exit in the Progressive Speech Enhancement
In real scenarios, it is often necessary and significant to control the ...
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02/08/2021
ICASSP 2021 Deep Noise Suppression Challenge: Decoupling Magnitude and Phase Optimization with a Two-Stage Deep Network
It remains a tough challenge to recover the speech signals contaminated ...
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11/03/2020
Two Heads Are Better Than One: A Two-Stage Approach for Monaural Noise Reduction in the Complex Domain
In low signal-to-noise ratio conditions, it is difficult to effectively ...
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06/13/2020
Dynamic Attention Based Generative Adversarial Network with Phase Post-Processing for Speech Enhancement
The generative adversarial networks (GANs) have facilitated the developm...
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05/12/2020
The IOA System for Deep Noise Suppression Challenge using a Framework Combining Dynamic Attention and Recursive Learning
This technical report describes our system that is submitted to the Deep...
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03/29/2020
A Recursive Network with Dynamic Attention for Monaural Speech Enhancement
A person tends to generate dynamic attention towards speech under compli...
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03/22/2020
A Time-domain Monaural Speech Enhancement with Recursive Learning
In this paper, we propose a type of neural network with recursive learni...
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03/22/2020
Monaural Speech Enhancement with Recursive Learning in the Time Domain
In this paper, we propose a type of neural network with recursive learni...
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12/08/2019
A Supervised Speech enhancement Approach with Residual Noise Control for Voice Communication
For voice communication, it is important to extract the speech from its ...
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08/28/2019
