电子信息工程学院
School of electronic information engineering

周伟力

2019-04-16

微信截图_20190416174505

一、导师简介

周伟力,男,博士,讲师,硕士生导师。现任电子信息工程学院物联网工程系副主任。主要从事语音、图像信号处理,深度学习,机器学习等方向的研究。发表SCIEI检索论文10余篇,参加国家和市厅科研项目2项、主持和参加政企横向课题多项,申请发明专利2项,其中已授权1项。

二、代表性成果(论文、专利、奖励)

【论文】

[1] Zhou Weili ; Zhu Zhen; A New
Online Bayesian NMF based Quasi-clean speech reconstruction for Non-intrusive
Voice Quality Evaluation, Neurocomputing (SCI).

[2] Weili Zhou; Qianhua He; Yalou
Wang; Yanxiong Li, Sparse representation-based quasi-clean speech construction
for speech quality assessment under complex environments, IET Signal Processing,
2017.1.4, 11(4):486~493 (SCI).

[3] Zhou Weili ; Zhu Zhen; Liang
Peiying,Speech Denoising UsingBayesian NMF with Online Base Update, Multimedia
Tools and Applications (SCI).

[4] Zhou Weili He Qianhua, Non-intrusive
speech quality objective evaluation in high-noise environments, 2015 IEEE China
Summit and International Conference on Signal and Information Processing,
ChinaSIP 2015, Chengdu, 2015.0 7.12-2015.07.15(EI).

[5] Zhou Weili ; Zhu Zhen, Online
Bayesian NMF Based Quasi-Clean Speech Reconstruction for Voice Quality
Evaluation Under Complex Environments, 2018 IEEE International Conference on
Audio, Language and Image Processing, 2018.7.1 5-2018.7.17(EI).

[6] Zhou Weili ; Zhu Zhen, Speech Denoising
Using Bayesian NMF with online Base Update , 2018 IEEE International conference
on High performance and Smart Computting, 2018.5.1-2018.5.4(EI).

[7] Zhou Weili He QianhuaWei Gang, Quasi-clean
Speech Construction Based Speech Quality Evaluation under Complex Environments,
2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015,
Kowloon Tong, 2015.10.09-2015.10.12(EI).

[8] Zhou Weili Liao JingshengLi BaopuLi Jingrong, A
family medical monitoring system based on embedded uC/OS-II and GPRS, 2012 IEEE
International Conference on Information and Automation, ICIA 2012, Shenyang,
2012.06.06-2012. 06.08(EI).

[9] He weijun Feng xiaohuiZhu ZhengyuZhou Weili An improved robust
statistical voice activity detection based on sub-band periodic intensity, 2015
IEEE International Conference on Information and Automation, ICIA 2015, Yunnan,
2015.08.08-2015.08.10(EI).

[10] 周伟力; 贺前华; 王亚楼; 庞文丰, 基于自适应逼近残差的稀疏表示语音降噪方法, 电子与信息学报, 2017.02.19,
44(7): 121~126(EI).

[11] 周伟力; 贺前华; 李艳雄; , 复杂环境下基于准干净语音的音质评价方法, 华中科技大学学报, 2016.07.15,
39(2): 309~315(EI).

【专利】

[1] 发明专利,一种用于语音质量客观评价的准干净语音构造方法,专利号:ZL201410515374.7,授权

[2] 发明专利,一种GMM识别器的快速识别方法,专利号:201811153290
.8,受理

三、代表性科研项目

[1] 主持,佛科院博士启动项目,项目名称:复杂环境下基于准干净语音构造的语音质量客观评价方法研究。

[2] 主持,政企横向项目,项目名称:顺德区金融业发展分析与对策研究。

[1] 参加,国家自然科学基金项目,项目名称:面向多媒体信息检索的语音处理关键技术研究

[2] 参加,佛山市科技局项目,项目名称:基于数据挖掘技术的“互联网+”政务信息服务研究

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