Deep learning-based direction-of-arrival estimation for multiple speech sources using a small scale array
Author:
Affiliation:
1. College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, Zhejiang 310027, China
2. Hangzhou Applied Acoustics Research Institute, Hangzhou, Zhejiang 310012, China
Funder
National Natural Science Foundation of China
Publisher
Acoustical Society of America (ASA)
Subject
Acoustics and Ultrasonics,Arts and Humanities (miscellaneous)
Link
https://asa.scitation.org/doi/pdf/10.1121/10.0005127
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4. Direction-of-Arrival Estimation Method Based on Neural Network with Temporal Structure for Underwater Acoustic Vector Sensor Array;Sensors;2023-05-19
5. A stacked self-attention network for two-dimensional direction-of-arrival estimation in hands-free speech communication;The Journal of the Acoustical Society of America;2022-12
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