Fault Detection in a Microphone Array by Intercorrelation of Features in Voice Activity Detection

Title
Fault Detection in a Microphone Array by Intercorrelation of Features in Voice Activity Detection
Authors
김진성유범재
Keywords
Fault Detection; Microphone Array; Voice-based Interaction; Intercorrelation of Features
Issue Date
2011-06
Publisher
IEEE transactions on industrial electronics : a publication of the IEEE Industrial Electronics Society
Citation
VOL 58, NO 6, 2568-2571
Abstract
Voice-based interaction generates a lot of interest for natural human–robot interaction. Auditory information from microphones is an essential clue for a robot’s attention to a person. Fault detection of microphones is required in order to improve the reliability of the voice-based human–robot interaction. This paper proposes a new approach for realtime fault detection in a microphone array in conversation without a calibration signal and a known sound source position by the intercorrelation of features in voice activity detection. The approach is successfully applied to a six-microphone system, and experimental results show an average fault detection of 97.6%.
URI
http://pubs.kist.re.kr/handle/201004/41162
ISSN
0278-0046
Appears in Collections:
KIST Publication > Article
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