research
∙
08/19/2023
Spatial Reconstructed Local Attention Res2Net with F0 Subband for Fake Speech Detection
The rhythm of synthetic speech is usually too smooth, which causes that ...
share
research
∙
08/02/2022
Audio Deepfake Detection Based on a Combination of F0 Information and Real Plus Imaginary Spectrogram Features
Recently, pioneer research works have proposed a large number of acousti...
research
∙
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 ...
research
∙
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 ...
research
∙
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 ...
research
∙
03/14/2022
MDNet: Learning Monaural Speech Enhancement from Deep Prior Gradient
While traditional statistical signal processing model-based methods can ...
research
∙
03/01/2022
DMF-Net: A decoupling-style multi-band fusion model for real-time full-band speech enhancement
Full-band speech enhancement based on deep neural networks is still chal...
research
∙
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 ...
research
∙
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...
research
∙
12/16/2021
EmotionBox: a music-element-driven emotional music generation system using Recurrent Neural Network
With the development of deep neural networks, automatic music compositio...
research
∙
12/09/2021
Noise-robust blind reverberation time estimation using noise-aware time-frequency masking
The reverberation time is one of the most important parameters used to c...
research
∙
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...
research
∙
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...
research
∙
09/05/2021
A Two-stage Complex Network using Cycle-consistent Generative Adversarial Networks for Speech Enhancement
Cycle-consistent generative adversarial networks (CycleGAN) have shown t...
research
∙
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 ...
research
∙
07/28/2021
CycleGAN-based Non-parallel Speech Enhancement with an Adaptive Attention-in-attention Mechanism
Non-parallel training is a difficult but essential task for DNN-based sp...
research
∙
06/24/2021
A Simultaneous Denoising and Dereverberation Framework with Target Decoupling
Background noise and room reverberation are regarded as two major factor...
research
∙
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...
research
∙
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 ...
research
∙
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 ...
research
∙
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 ...
research
∙
10/26/2020
Distributed Node-Specific Block-Diagonal LCMV Beamforming in Wireless Acoustic Sensor Networks
This paper derives the analytical solution of a novel distributed node-s...
research
∙
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...
research
∙
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...
research
∙
03/29/2020
A Recursive Network with Dynamic Attention for Monaural Speech Enhancement
A person tends to generate dynamic attention towards speech under compli...
research
∙
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...
research
∙
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...
research
∙
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 ...
research
∙
08/28/2019
