Paper Title :A Frequency Response Normalization Method based on Deep Neural Networksfor IOT Devices
Author :Deokgyu Yun, Jaegyu Choi, Hanna Lee, Seung Ho Choi
Article Citation :Deokgyu Yun ,Jaegyu Choi ,Hanna Lee ,Seung Ho Choi ,
(2018 ) " A Frequency Response Normalization Method based on Deep Neural Networksfor IOT Devices " ,
International Journal of Electrical, Electronics and Data Communication (IJEEDC) ,
pp. 25-26,
Volume-6,Issue-2
Abstract : This paper presents a novel frequency response normalization method for IoT(Internet of Things) devices, which
is based on deep neural networks. When connecting the sounds acquired by different smart phones, unnatural soundsare
generated, which is mainly due to different frequency responses for each smart phone. To solve this problem, we need to
normalize the frequency responses of smart phones. In this study, we propose a normalization method using deep neural
network. The input of the neural network is the spectrum of the smart phone sound to be processed and the output is the ratio
of input to the spectrum of the reference smart phone sound. Experimental results show that when the acoustic signals
acquired by different smart phones are connected, the naturalness of the sound is improved through objective and subjective
evaluation.
Keywords - Frequency normalization, IoT(Internet of Things), Virtual reality, User created contents, Deep neural network.
Type : Research paper
Published : Volume-6,Issue-2
DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-11072
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Copyright: © Institute of Research and Journals
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Published on 2018-04-09 |
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