Acoustic Source Localization in the Circular Harmonic Domain Using Deep Learning Architecture
Author:
Affiliation:
1. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
2. Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K.
Funder
National Natural Science Foundation of China
Key Laboratory of System Control and Information Processing
Ministry of Education
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics
Link
http://xplorestaging.ieee.org/ielx7/6570655/9657755/09829303.pdf?arnumber=9829303
Reference53 articles.
1. Beamforming with a circular microphone array for localization of environmental noise sources
2. Near-Field Acoustic Source Localization Using Spherical Harmonic Features
3. Robust Speaker Localization Guided by Deep Learning-Based Time-Frequency Masking
4. CRNN-Based Multiple DoA Estimation Using Acoustic Intensity Features for Ambisonics Recordings
5. CRNN-based Joint Azimuth and Elevation Localization with the Ambisonics Intensity Vector
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Learning an interpretable end-to-end network for real-time acoustic beamforming;Journal of Sound and Vibration;2024-11
2. Robustness analysis and experimental validation of a deep neural network for acoustic source imaging;Mechanical Systems and Signal Processing;2024-07
3. Multi-Speaker Localization in the Circular Harmonic Domain on Small Aperture Microphone Arrays Using Deep Convolutional Networks;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
4. Direction of Arrival Estimation of Coherent Sources via a Signal Space Deep Convolution Network;Symmetry;2024-04-04
5. Synthesis of soundfields through irregular loudspeaker arrays based on convolutional neural networks;EURASIP Journal on Audio, Speech, and Music Processing;2024-03-28
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3