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WHISPER: Wirelessly synchronized distributed audio sensor platform


Kiselev, Ilya; Ceolini, Enea; Wong, Daniel; Cheveigne, Alain de; Liu, Shih-Chii (2017). WHISPER: Wirelessly synchronized distributed audio sensor platform. In: Twelfth IEEE International Workshop on Practical Issues in Building Sensor Network Applications (IEEE SenseApp 2017), Singapore, 9 October 2017 - 12 October 2017.

Abstract

This paper describes a distributed wireless acoustic sensor network (WASN) platform called WHISPER that is capable of synchronous multichannel sampling at different spatial locations with a sampling clock whose relative jitter is less than 300 ns. The platform comprises up to four data acquisition modules with onboard computing capabilities, and that can form an ad-hoc Wi-Fi network allowing an additional processing module such as a laptop or a smartphone to be connected if needed. Each acquisition module holds four digital SPI microphones with a total of 16 microphones for the entire system. Wireless synchronization of the sampling on each platform is implemented using a separate wireless module operating in the 902-928 MHz ISM band. Usage of this system is demonstrated in a real-time application involving spatial sound filtering through a beamforming algorithm.

Abstract

This paper describes a distributed wireless acoustic sensor network (WASN) platform called WHISPER that is capable of synchronous multichannel sampling at different spatial locations with a sampling clock whose relative jitter is less than 300 ns. The platform comprises up to four data acquisition modules with onboard computing capabilities, and that can form an ad-hoc Wi-Fi network allowing an additional processing module such as a laptop or a smartphone to be connected if needed. Each acquisition module holds four digital SPI microphones with a total of 16 microphones for the entire system. Wireless synchronization of the sampling on each platform is implemented using a separate wireless module operating in the 902-928 MHz ISM band. Usage of this system is demonstrated in a real-time application involving spatial sound filtering through a beamforming algorithm.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Event End Date:12 October 2017
Deposited On:23 Feb 2018 09:25
Last Modified:14 Mar 2018 18:01
Publisher:Local Computer Networks Workshops (LCN Workshops), 2017 IEEE 42nd Conference on
Series Name:IEEE SenseApp'17
OA Status:Closed
Publisher DOI:https://doi.org/10.1109/LCN.Workshops.2017.62
Official URL:http://ieeexplore.ieee.org/document/8110202/

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