呼德 - 内蒙古大学 - 计算机学院

个人简介

呼德，男，1993年生，骏马计划B2岗，硕士生导师，2021年毕业于大连理工大学信息与通信工程学院信号与信息处理专业，获工学博士学位。参与过多项国家级纵向课题及与华为、蚂蚁金服等知名企业合作的横向课题。已在IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASL)等国际顶级期刊上发表数篇论文。研究项目： 1.内蒙古大学“骏马计划B2”岗位，高层次引进人才科研启动专项经费，2022.1-2027.1，主持授权专利： [1] 陈喆，殷福亮，呼德. 一种麦克风阵列频响校准方法. 授权号CN107864444B. [2] 陈喆，殷福亮，王睿，呼德. 一种基于多级插值的窄带随机信号生成方法. 授权号CN107682096B. [3] 陈喆，殷福亮，呼德. 一种监控音频信号的数字化装置和方法. 授权号CN107221335B. [4] 陈喆，殷福亮，呼德. 混音器及混音方法. 授权号CN106504758B.

研究领域

麦克风阵列；分布式麦克风网络；分布式数据处理；语音信号处理；声源定位与跟踪；声学SLAM等

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

[1] De Hu, Zhe Chen, Fuliang Yin. Passive geometry calibration for microphone arrays based on distributed damped Newton optimization[J]. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2021, 29: 118-131. (SCI : Q1, top) [2] De Hu, Zhe Chen, Fuliang Yin. Geometry Calibration for Acoustic Transceiver Networks Based on Network Newton Distributed Optimization[J]. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2021: 29: 1023-1032. (SCI : Q1, top) [3] De Hu, Zhe Chen, Fuliang Yin. Analytical Geometry Calibration for Acoustic Transceiver Arrays[J]. IEEE Signal Processing Letters, 2020, 27: 1979-1983.(SCI: Q2) [4] De Hu, Zhe Chen, Fuliang Yin. Frequency response calibration using multi-channel Wiener filters for microphone arrays[J]. IEEE Sensors Journal, 2019, 19(17): 7507–7514.(SCI: Q2) [5] De Hu, Zhe Chen, Fuliang Yin. Frequency response analytical calibration based on spectral flatness for microphone arrays[J]. IEEE Transactions on Instrumentation and Measurement, 2021, 70: ASN9500111.(SCI: Q1) [6] De Hu, Zhe Chen, Fuliang Yin. Information Weighted Consensus with Interacting Multiple Model over Distributed Networks[J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2021, 68(4): 1537-1541.(SCI: Q2) [7] 呼德，陈喆，殷福亮.一种自动等响度数字混音器算法[J].信号处理, 2017, 33(3):437- 443.(CSCD) [8] Mengmeng Qin, De Hu, Zhe Chen, Fuliang Yin. Compressive Sensing-Based Sound Source Localization for Microphone arrays[J]. Circuits, Systems, and Signal Processing, 2021, Early Access. (SCI: Q3)