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- Title
멀티로터 UAV 환경에서의 CNN 기반 복소 스펙트로그램 향상 기법.
- Authors
김영진; 김은경
- Abstract
The sound collected through the multi-rotor unmanned aerial vehicle (UAV) includes the ego noise generated by the motor or propeller, or the wind noise generated during the flight, and thus the quality is greatly impaired. In a multi-rotor UAV environment, both the magnitude and phase of the target sound are greatly corrupted, so it is necessary to enhance the sound in consideration of both the magnitude and phase. However, it is difficult to improve the phase because it does not show the structural characteristics. in this study, we propose a CNN-based complex spectrogram enhancement method that removes noise based on complex spectrogram that can represent both magnitude and phase. Experimental results reveal that the proposed method improves enhancement performance by considering both the magnitude and phase of the complex spectrogram.
- Subjects
ACOUSTIC signal processing; CONVOLUTIONAL neural networks; SPECTROGRAMS; DEEP learning; PROPELLERS
- Publication
Journal of the Korea Institute of Information & Communication Engineering, 2020, Vol 24, Issue 4, p459
- ISSN
2234-4772
- Publication type
Article
- DOI
10.6109/jkiice.2020.24.4.459