E. Kokkinis, K. Drossos, N. Tatlas, A. Floros, A. Tsilfidis, and K. Agavanakis, "Smart Microphone Sensor System Platform," Engineering Brief 49, (2012 April.). doi:
E. Kokkinis, K. Drossos, N. Tatlas, A. Floros, A. Tsilfidis, and K. Agavanakis, "Smart Microphone Sensor System Platform," Engineering Brief 49, (2012 April.). doi:
Abstract: 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.
@article{kokkinis2012smart,
author={kokkinis, elias and drossos, konstantinos and tatlas, nicolas-alexander and floros, andreas and tsilfidis, alexandros and agavanakis, kyriakos},
journal={journal of the audio engineering society},
title={smart microphone sensor system platform},
year={2012},
volume={},
number={},
pages={},
doi={},
month={april},}
@article{kokkinis2012smart,
author={kokkinis, elias and drossos, konstantinos and tatlas, nicolas-alexander and floros, andreas and tsilfidis, alexandros and agavanakis, kyriakos},
journal={journal of the audio engineering society},
title={smart microphone sensor system platform},
year={2012},
volume={},
number={},
pages={},
doi={},
month={april},
abstract={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.},}
TY - paper
TI - Smart Microphone Sensor System Platform
SP -
EP -
AU - Kokkinis, Elias
AU - Drossos, Konstantinos
AU - Tatlas, Nicolas-Alexander
AU - Floros, Andreas
AU - Tsilfidis, Alexandros
AU - Agavanakis, Kyriakos
PY - 2012
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - April 2012
TY - paper
TI - Smart Microphone Sensor System Platform
SP -
EP -
AU - Kokkinis, Elias
AU - Drossos, Konstantinos
AU - Tatlas, Nicolas-Alexander
AU - Floros, Andreas
AU - Tsilfidis, Alexandros
AU - Agavanakis, Kyriakos
PY - 2012
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - April 2012
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.
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.
Authors:
Kokkinis, Elias; Drossos, Konstantinos; Tatlas, Nicolas-Alexander; Floros, Andreas; Tsilfidis, Alexandros; Agavanakis, Kyriakos
Affiliations:
University of Patras; Ionian University; BLUEdev Ltd.; Ionian University; University of Patras; BLUEdev Ltd.(See document for exact affiliation information.)
AES Convention:
132 (April 2012)eBrief:49
Publication Date:
April 26, 2012Import into BibTeX
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=16604
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