周偉力，博士，畢業(yè)于華南理工大學信息與通信工程專業(yè)，人工智能系專任教師。近年來圍繞信號與嵌入式系統(tǒng)、音視頻信號、智能裝備自動化等領(lǐng)域主持并完成省市廳級項目3項；佛山市三水區(qū)博士科技特派員資助項目、順德區(qū)科技金融研究項目2項；主持和參與企業(yè)技術(shù)委托研發(fā)項目12項。發(fā)表SCI/EI檢索論文20余篇。授權(quán)與申請發(fā)明專利4項。
[1] 主持，廣東省自然科學基金，基于深度復(fù)數(shù)全卷積U-Net神經(jīng)網(wǎng)絡(luò)的語音增強方法研究（2019A1515111148）。
[2] 主持，廣東省教育廳青年創(chuàng)新人才項目，深度復(fù)數(shù)全卷積神經(jīng)網(wǎng)絡(luò)方法研究（2019KQNCX168）。
[3] 主持，佛山市科技計劃項目，面向殘障輔助的異步跨域腦機接口關(guān)鍵技術(shù)研究（2220001004688）。
[4] 主持，佛山市三水區(qū)博士科技特派員（廣東朗騰電氣股份有限公司)資助項目(KH2021)
[5] 主持，佛山市順德區(qū)金融業(yè)發(fā)展分析與對策研究(KH2018)。
[6] 主持，佛山大學高層次人才啟動項目，項目名稱：復(fù)雜環(huán)境下基于準干凈語音構(gòu)造的語音質(zhì)量客觀評價方法研究（GG07005）。
[7] 參與，國家自然科學基金項目，項目名稱：非現(xiàn)場說話人認證語音真實性檢測關(guān)鍵技術(shù)研究（61571192）。
[1] Weili Zhou*，Jinxiong Lai, Yuetao Liao & Ruijie Ji，Meta-reinforcement learning based few-shot speech reconstruction for non-intrusive speech quality assessment, Applied Intelligence, 2023, 53(11)：14146-14161. (SCI).
[2]Weili Zhou*，Ruijie Ji , Jinxiong Lai，MetaRL-SE: a few-shot speech enhancement method based on meta-reinforcement learning，Multimedia Tools and Applications, 2023, 82(28)：43903~43922. (SCI).
[3] Weili Zhou*，Zhen Zhu，A novel BNMF-DNN based speech reconstruction methodfor speech quality evaluation under complex environments，International Journal of Machine Learning and Cybernetics, 2021, 12（4）：959~972. (SCI).
[4] Zhou Weili*, Lu Mingliang, Ji Ruijie，Meta-SE: A Meta-Learning Framework for Few-Shot Speech Enhancement，IEEE Access, 2021, 9：46068-46078.(SCI).
[5]Weili Zhou*，Zhen Zhu，A new online Bayesian NMF based quasi-clean speechreconstruction for non-intrusive voice quality evaluation，Neurocomputing, 2019, 349：261~270. (SCI).
[6] Zhou Weili* ,Zhu Zhen, Liang Peiying,Speech Denoising UsingBayesian NMF with Online Base Update, Multimedia Tools and Applications, 2019, 78：15647~15664. (SCI).
[7] Zhou Weili*, Qianhua He, Yalou Wang,Yanxiong Li,Sparse representation basedquasi clean speech construction for speech quality assessment under complex environments, IET Signal Processing,2017.1.4, 11(4):486~493 (SCI).
[8] 周偉力*; 賀前華; 王亞樓; 龐文豐, 基于自適應(yīng)逼近殘差的稀疏表示語音降噪方法, 電子與信息學報, 2017.02.19, 44(7): 121~126(EI).
[9] 周偉力*; 賀前華; 李艷雄; 劉 楊, 復(fù)雜環(huán)境下基于準干凈語音的音質(zhì)評價方法, 華中科技大學學報, 2016.07.15, 39(2): 309~315(EI).
[10] Zhou Weili*, Liao yuetao, Yang tao, Lai Jinxiong. Learning to evaluate: a few-shot non-intrusive speech quality assessment method based on meta-learning, Proceedings of SPIE- The International Society for Optical Engineering, 2024,13090:1~4 (EI).
[11] Zhou Weili*, Ji Ruijie, Lai Jinxiong. Improved speech reconstruction with the complex-valued full convolution neural network, Proceedings of SPIE – The International Society for Optical Engineering, 2022,12506:1~4 (EI).
[12] Lu Mingliang, Zhou Weili*, Ji Ruijie, Automatic Scoring System for Handwritten Examination Papers Based on YOLO Algorithm, Journal of Physics: Conference Series, 2021,2026(1):1~4 (EI).
[13] 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).
[14] 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).
[15] Zhou Weili*，He Qianhua，Wei 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).
[16] 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).
[17] Zhou Weili*，Liao Jingsheng，Li Baopu，Li Jingrong, Afamily 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).
[18] He weijun ，F(xiàn)eng xiaohui，Zhu Zhengyu，Zhou 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).
[1] 發(fā)明專利，一種用于語音質(zhì)量客觀評價的準干凈語音構(gòu)造方法，專利號：ZL201410515374.7，授權(quán)
[2] 發(fā)明專利，一種GMM識別器的快速識別方法，專利號：ZL201811153290,授權(quán)
[3] 發(fā)明專利，基于帶噪語音復(fù)數(shù)浮值掩蔽計算的語音降噪方法及裝置，專利號：CN202211695846.2
[4] 發(fā)明專利，小樣本無參考源語音質(zhì)量評價方法及裝置，專利號：CN202211695838.8
五、聯(lián)系方式：[email protected]
聯(lián)系電話：0757-85500694
郵編：528225
地址：廣東省佛山市南海區(qū)獅山鎮(zhèn)廣云路33號B3樓計算機與人工智能學院（粵臺人工智能學院）
掃一掃 關(guān)注我們