Title :
Advanced sound capturing method with adaptive noise reduction system for broadcasting multicopters
Author :
Sojeong Yoon ; Sangil Park ; Youmie Eom ; Sunggeun Yoo
Author_Institution :
Seoul Nat. Univ. of Sci. & Technol., Seoul, South Korea
Abstract :
A multicopter is now becoming a crucial part in the broadcasting industry for capturing videos. When they are not able to reach places, men can control multicopters and take desired videos. However, there still exist many problems in capturing sound because the multicopter is often placed far from the sound source and the sound of the propellers interferes with the recording target sound. Capturing high quality sound is indispensable to fulfill consumers´ needs to have high quality videos. Nonetheless, there are not many studies of capturing target sound while reducing propellers´ sound. Therefore, it is inevitable to suggest applicable methods to reduce noise to get better sound to be transmitted. This paper proposes experimental methods of capturing sound through adaptive signal processing for decreasing propellers´ sound.
Keywords :
broadcasting; helicopters; video signal processing; adaptive noise reduction system; adaptive signal processing; advanced sound capturing method; broadcasting multicopters; high quality sound; Adaptive filters; Least squares approximations; Microphones; Noise; Propellers; Videos;
Conference_Titel :
Consumer Electronics (ICCE), 2015 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-7542-6
DOI :
10.1109/ICCE.2015.7066305