E. Kokkinis, K. Drossos, N.-A. Tatlas, A. Floros, A. Tsilfidis, and K. Agavanakis, “Smart Microphone Sensor System Platform,” in Proc. AES Convention 132, Apr. 2012, Paper 49. [Online]. Available: https://aes.org/publications/elibrary-page/?id=16604
Kokkinis E, Drossos K, Tatlas NA, Floros A, Tsilfidis A, Agavanakis K. Smart Microphone Sensor System Platform. In: AES Convention 132. Audio Engineering Society; 2012. Paper 49. Available from: https://aes.org/publications/elibrary-page/?id=16604
@inproceedings{Kokkinis2012_16604,
author = {Kokkinis, Elias and Drossos, Konstantinos and Tatlas, Nicolas-Alexander and Floros, Andreas and Tsilfidis, Alexandros and Agavanakis, Kyriakos},
title = {{Smart Microphone Sensor System Platform}},
booktitle = {AES Convention 132},
note = {Paper 49},
year = {2012},
month = apr,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=16604}
}
TY - CPAPER
TI - Smart Microphone Sensor System Platform
AU - Kokkinis, Elias
AU - Drossos, Konstantinos
AU - Tatlas, Nicolas-Alexander
AU - Floros, Andreas
AU - Tsilfidis, Alexandros
AU - Agavanakis, Kyriakos
T2 - AES Convention 132
M1 - Paper 49
PY - 2012
DA - 2012/04/06
UR - https://aes.org/publications/elibrary-page/?id=16604
PB - Audio Engineering Society
LA - en
AB - A platform for a flexible, smart microphone system using available hardware components is presented. Three subsystems are employed, specifically: (a) a set of digital MEMs microphones, with a one-bit serial output; (b) a preprocessing/digital-to-digital converter; and (c) a CPU/DSP-based embedded system with I2S connectivity. Basic preprocessing functions, such as noise gating and filtering can be performed in the preprocessing stage, while application-specific algorithms such as word spotting, beam-forming, and reverberation suppression can be handled by the embedded system. Widely used high-level operating systems are supported including drivers for a number of peripheral devices. Finally, an employment scenario for a wireless home automation speech activated front-end sensor system using the platform is analyzed.
ER -