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Proposed paper addresses the problem of microphone noise. The performance of built-in microphones in laptops and other mobile devices can suffer in the presence of noise. Identifying noisy components and separating the internal from external origins allows for the noise sources to be root caused and eliminated. This capability is crucial when developing new platforms. The proposed method employs a series of recordings, conducted using both built-in and reference microphones. The recordings are obtained under different operating conditions of the device, e.g., AC vs battery power. The recordings are then analyzed to identify different characteristics resulting from use of the internal versus the external microphone. Based on these results noise components can be separated and the potential noise source identified.
Author (s): Maziewski, Przemek;
Affiliation:
Intel Technology Poland, Gdansk, Poland
(See document for exact affiliation information.)
AES Convention: 140
Paper Number:237
Publication Date:
2016-05-06
Session subject:
eBriefs: Posters
DOI:
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Maziewski, Przemek; 2016; Mobile Platform Acoustical Noise Identification Using Internal and Reference Microphones [PDF]; Intel Technology Poland, Gdansk, Poland; Paper 237; Available from: https://aes.org/publications/elibrary-page/?id=18141
Maziewski, Przemek; Mobile Platform Acoustical Noise Identification Using Internal and Reference Microphones [PDF]; Intel Technology Poland, Gdansk, Poland; Paper 237; 2016 Available: https://aes.org/publications/elibrary-page/?id=18141
@inproceedings{Maziewski2016mobile,
title={{Mobile Platform Acoustical Noise Identification Using Internal and Reference Microphones}},
author={Maziewski, Przemek},
year={2016},
month={may},
booktitle={Journal of the Audio Engineering Society},
publisher={Engineering Brief 237; AES Convention 140; May 2016},
number={237},
organization={AES},
}
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