DOANet: a deep dilated convolutional neural network approach for search and rescue with drone-embedded sound source localization

DOANet: a deep dilated convolutional neural network approach for search and rescue with drone-embedded sound source localization

Abstract Drone-embedded sound source localization (SSL) has interesting application perspective in challenging search and rescue scenarios due to bad lighting conditions or occlusions. However, the problem gets complicated by severe drone ego-noise that may result in negative signal-to-noise ratios...

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Bibliographic Details
Main Authors: Alif Bin Abdul Qayyum, K. M. Naimul Hassan, Adrita Anika, Md. Farhan Shadiq, Md Mushfiqur Rahman, Md. Tariqul Islam, Sheikh Asif Imran, Shahruk Hossain, Mohammad Ariful Haque
Format: Article
Language:English
Published: SpringerOpen 2020-11-01
Series:EURASIP Journal on Audio, Speech, and Music Processing
Subjects:
DOA estimation
DNN
Sound source localization
UAV
DREGON
Dilated CNN
Online Access:http://link.springer.com/article/10.1186/s13636-020-00184-2

Internet

http://link.springer.com/article/10.1186/s13636-020-00184-2

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