A two-stage deep neuroevolutionary technique for self-adaptive speech enhancement
R LeBlanc, SA Selouani - IEEE Access, 2022 - ieeexplore.ieee.org
This paper presents a novel self-adaptive approach for speech enhancement in the context
of highly nonstationary noise. A two-stage deep neuroevolutionary technique for speech …
of highly nonstationary noise. A two-stage deep neuroevolutionary technique for speech …
A two-stage combining classifier model for the development of adaptive dialog systems
This paper proposes a statistical framework to develop user-adapted spoken dialog
systems. The proposed framework integrates two main models. The first model is used to …
systems. The proposed framework integrates two main models. The first model is used to …
Speech dereverberation based on convex optimization algorithms for group sparse linear prediction
D Giacobello, TL Jensen - 2018 IEEE International Conference …, 2018 - ieeexplore.ieee.org
In this paper, we consider methods for improving far-field speech recognition using
dereverberation based on sparse multi-channel linear prediction. In particular, we extend …
dereverberation based on sparse multi-channel linear prediction. In particular, we extend …
Self-adaptive tuning for speech enhancement algorithm based on evolutionary approach
R LeBlanc, SA Selouani - 2019 IEEE First International …, 2019 - ieeexplore.ieee.org
In this paper a novel approach to speech enhancement algorithm tuning is presented. A self-
adaptive tuning method was developed using an evolutionary optimization algorithm …
adaptive tuning method was developed using an evolutionary optimization algorithm …
Design and optimization of a speech recognition front-end for distant-talking control of a music playback device
This paper addresses the challenging scenario for the distant-talking control of a music
playback device, a common portable speaker with four small loudspeakers in close …
playback device, a common portable speaker with four small loudspeakers in close …
A computationally constrained optimization framework for implementation and tuning of speech enhancement systems
In this work, we propose an optimization framework for tuning the parameters of a speech
enhancement system to maximize its performance while constraining its computational …
enhancement system to maximize its performance while constraining its computational …
Trends and Perspectives for Signal Processing in Consumer Audio
J Atkins, D Giacobello - arXiv preprint arXiv:1405.4843, 2014 - arxiv.org
The trend in media consumption towards streaming and portability offers new challenges
and opportunities for signal processing in audio and acoustics. The most significant …
and opportunities for signal processing in audio and acoustics. The most significant …
Control of Channel Power Compensation Based on Genetic Algorithm to Impairment Aware in Optical Network
DY Zhao, KP Long, YC Zheng, ZY Du… - Applied Mechanics …, 2015 - Trans Tech Publ
In this paper, we address the problem to power impairment in amplified WDM
communication networks with ROADM (Reconfigurable Optical Add-Drop Multiplexers), in …
communication networks with ROADM (Reconfigurable Optical Add-Drop Multiplexers), in …