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电子与通信工程系

王蕾

发布者:  时间:2024-03-12 16:29:25  浏览:


一. 基本信息

1.研究领域:脑机接口技术、语音感知与处理技术、先进助听技术、音频信号处理

2.联系方式:wanglei567@gzhu.edu.cn

二.教育与工作经历:

2024年起就职于广州大学电子与通信工程学,担任讲师

2022年-2024年就职于华为技术有限公司,担任研究工程师音频信号处理方向)

2022年毕业于香港大学,电机电子工程系,生物医学工程方向,获博士学位;

2015年-2016年就职于南方科技大学电子与电气工程系,担任科研助理;

2015年毕业于东北大学,生物医学工程专业,获工学学士学位。

三.研究成果及荣誉:

已发表期刊论6篇,其中第一作者论文5篇,已发表EI收录领域内知名国际会议论文16篇,其中第一作者论文12篇,受邀口头报告6篇。获得第21届国际语音通讯协会年会 (INTERSPEECH),Travel Grant Award。参与国自然面上项目1项。参与组织第1届视听觉残疾、影响及其社区治疗方案国际研讨会及第11届IEEE-EMBS国际暑期学校暨医学仪器与生物传感器研讨会

四.代表性论文:

L. Wang, Yihan Wang, Zhixing Liu, Ed X. Wu and F. Chen, “A speech-level-based segmented model to decode the dynamic auditory attention states in the competing-speaker scenes”, Frontiers in Neuroscience. vol.15, no.760611, 2022.

L. Wang, Ed X. Wu and F. Chen, “EEG-based auditory atten tion decoding using speech level based segmented computational models”, Journal of Neural Engineering. vol. 18, no.046066, 2021.

L. Wang, Ed X. Wu and F. Chen, “Robust EEG-based decoding of auditory attention with high-RMS-level speech segments in noisy conditions”, Frontiers in Human Neuroscience. vol. 14, no. 557534, 2020.

L. Wang, H. Li, Ed X. Wu and F. Chen, “Cortical auditory responses index the contributions of different RMS-level-dependent segments to speech intelligibility”, Hearing Research, vol. 383, no. 107808, 2019.

L. Wang, D. C. Zheng, and F. Chen, “Understanding low-pass-filtered Mandarin sentences: Effects of fundamental frequency contour and single-channel noise suppression”, Journal of the Acoustical Society of America, vol. 143, no. 3, pp. EL141–EL146, 2018.

L. Wang, and F. Chen, “EEG-based auditory attention detection with estimated speech sources separated from an ideal-binary-masking process,” in Proceedings of the 14th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2022), Chiang Mai, Thailand, 7–10 November, pp. 1542–1546, 2022. (Oral presentation)

L. Wang, Ed X. Wu and F. Chen, “Contribution of RMS-level-based speech segments to target speech decoding under noisy conditions”, in Proc. of 21st Annual Conference of the International Speech Communication Association (INTERSPEECH), China, September 14–18, 2020. (Oral presentation)

L. Wang, Ed X. Wu and F. Chen, “Cortical tracking of vocoded speech stream with a competing speaker based on attentional selection”, the 9th International IEEE EMBS Neural Engineering Conference (NER), USA, April 2–6, pp. 1151–1154, 2019.


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