The rhythm of synthetic speech is usually too smooth, which causes that ...
Recently, pioneer research works have proposed a large number of acousti...
Real-time communications in packet-switched networks have become widely ...
While the deep learning techniques promote the rapid development of the
...
While existing end-to-end beamformers achieve impressive performance in
...
While traditional statistical signal processing model-based methods can
...
Full-band speech enhancement based on deep neural networks is still
chal...
The decoupling-style concept begins to ignite in the speech enhancement ...
In hands-free communication system, the coupling between the loudspeaker...
With the development of deep neural networks, automatic music compositio...
The reverberation time is one of the most important parameters used to
c...
Curriculum learning begins to thrive in the speech enhancement area, whi...
For the lack of adequate paired noisy-clean speech corpus in many real
s...
Cycle-consistent generative adversarial networks (CycleGAN) have shown t...
The spatial covariance matrix has been considered to be significant for
...
Non-parallel training is a difficult but essential task for DNN-based sp...
Background noise and room reverberation are regarded as two major factor...
The capability of the human to pay attention to both coarse and fine-gra...
In real scenarios, it is often necessary and significant to control the
...
It remains a tough challenge to recover the speech signals contaminated ...
In low signal-to-noise ratio conditions, it is difficult to effectively
...
This paper derives the analytical solution of a novel distributed
node-s...
The generative adversarial networks (GANs) have facilitated the developm...
This technical report describes our system that is submitted to the Deep...
A person tends to generate dynamic attention towards speech under compli...
In this paper, we propose a type of neural network with recursive learni...
In this paper, we propose a type of neural network with recursive learni...
For voice communication, it is important to extract the speech from its ...
Recently, progressive learning has shown its capacity of improving speec...