ResearchTrend.AI

Continuous Modeling of the Denoising Process for Speech Enhancement Based on Deep Learning

Zilu Guo
Jun Du
Chin-Hui Lee
ArXivPDFHTML

Papers citing "Continuous Modeling of the Denoising Process for Speech Enhancement Based on Deep Learning"

5 / 5 papers shown
Title
How Bad Are Artifacts?: Analyzing the Impact of Speech Enhancement Errors on ASR
How Bad Are Artifacts?: Analyzing the Impact of Speech Enhancement Errors on ASR
Kazuma Iwamoto
Tsubasa Ochiai
Marc Delcroix
Rintaro Ikeshita
Hiroshi Sato
S. Araki
S. Katagiri
53
61
0
18 Jan 2022
DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio based on Deep Filtering
DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio based on Deep Filtering
Hendrik Schröter
Alberto N. Escalante
T. Rosenkranz
Andreas Maier
56
75
0
11 Oct 2021
MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement
MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement
Szu-Wei Fu
Cheng Yu
Tsun-An Hsieh
Peter William VanHarn Plantinga
Mirco Ravanelli
Xugang Lu
Yu Tsao
67
216
0
08 Apr 2021
Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder
Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder
Hu Fang
Guillaume Carbajal
S. Wermter
Timo Gerkmann
76
59
0
17 Feb 2021
Score-Based Generative Modeling through Stochastic Differential Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffM
SyDa
335
6,480
0
26 Nov 2020

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.