赵莹珂，女，1990年08月出生，工学博士，讲师，硕士生导师

邮箱：zhaoyingke_sust@sust.edu.cn

办公室：逸夫楼A419

工作经历：

2022年07月-今，437ccm必赢国际，讲师

教育经历：

2013.09-2022.06 西北工业大学，信息与通信工程博士

2016.09-2018.09 丹麦奥尔堡大学，博士联合培养

2008.09-2012.06 西北工业大学，电子信息工程学士

研究方向：主要研究方向为语音降噪、波束形成、分布式信号处理等。

主持/参与项目：

1、国家自然科学基金青年项目，主持

2、437ccm必赢国际科研启动基金项目，主持

科研成果：

期刊论文

[1] Yingke Zhao, Jesper Kjær Nielsen, Jingdong Chen, and Mads Græsbøll Christensen. Model-based distributed node clustering and multi-speaker speech presence probability estimation in wireless acoustic sensor networks[J]. J. Acoust. Soc. Amer., 2020, 147(6): 4189-4201.

[2] Yingke Zhao, Jesper Rindom Jensen, Tobias Lindstrøm Jensen, Jingdong Chen, and Mads Græsbøll Christensen. Experimental study of robust acoustic beamforming for speech acquisition in reverberant and noisy environments[J]. Appl. Acoust., 2020, 170: 107531.

[3] Yingke Zhao, Jie Chen, and Jingdong Chen. Recursive Variable Span Linear Filter for Noise Reduction[J]. IEEE Signal Process. Lett., 2019, 26(12): 1902-1906.

[4] Haoyuan Cai, Yingke Zhao, Jie Chen, Wei Zhang, and Maboud Kaloorazi. Online Construction of Variable Span Linear Filters Using a Fixed-Point Approach[J]. IEEE Signal Process. Lett., 2021, 28: 404-408.

会议论文

[1] Yingke Zhao , Wen Zhang , and Jingdong Chen, A Subband Approach to Personal Sound Zone with Joint Optimization of Sound Pressure and Particle Velocity, 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)

[2] Yingke Zhao, Jesper Rindom Jensen, Mads Græsbøll Christensen, Simon Doclo, and Jingdong Chen. Experimental study of robust beamforming techniques for acoustic applications. [C] Proc. IEEE Workshop Applicat. Signal Process. Audio Acoust. (WASPAA). 2017: 86-90.

[3] Yingke Zhao, Jesper Kjær Nielsen, Mads Græsbøll Christensen, and Jingdong Chen. Model-based voice activity detection in wireless acoustic sensor networks[C] Proc. Eur. Signal Process. Conf. (EUSIPCO). 2018: 425-429.

[4] Yingke Zhao, Jacob Benesty, and Jingdong Chen. Single-channel noise reduction in the STFT domain from the fullband output SNR perspective[C] Proc. Eur. Signal Process. Conf. (EUSIPCO). 2016: 1956-1959.