Efficient Detection and Localization of Acoustic Sources with a low complexity CNN network and the Diagonal Unloading Beamforming-Reference-Cited by-同舟云学术

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Efficient Detection and Localization of Acoustic Sources with a low complexity CNN network and the Diagonal Unloading Beamforming

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Joint Conference on Neural Networks (IJCNN)
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Author:

Toma Andrea¹,Salvati Daniele¹,Drioli Carlo¹,Foresti Gian Luca¹

Affiliation:

1. University of Udine,Dept. of Mathematics, Computer Science and Physics - DMIF,Udine,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892709.pdf?arnumber=9892709

Reference27 articles.

1. Convolutional Neural Network-based Direction-of-Arrival Estimation using Stereo Microphones for Drone

2. Neural Network Adaptation and Data Augmentation for Multi-Speaker Direction-of-Arrival Estimation

3. Exploiting CNNs for Improving Acoustic Source Localization in Noisy and Reverberant Conditions

4. A Deep Learning Framework for Robust DOA Estimation Using Spherical Harmonic Decomposition

5. Multi-Speaker DOA Estimation Using Deep Convolutional Networks Trained With Noise Signals

Cited by 1 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. Dense-U-Net assisted Localization of Speech Sources in Motion under Reverberant conditions;2023 12th International Conference on Control, Automation and Information Sciences (ICCAIS);2023-11-27

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