Kim, Jinsung You, Bum-Jae 2024-01-20T17:02:02Z 2024-01-20T17:02:02Z 2021-09-04 2011-06 0278-0046 https://pubs.kist.re.kr/handle/201004/130324 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 real-time 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%. English IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC HUMANS ROBOTS Fault Detection in a Microphone Array by Intercorrelation of Features in Voice Activity Detection Article 10.1109/TIE.2010.2062481 1 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, v.58, no.6, pp.2568 - 2571 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 58 6 2568 2571 scie scopus 000290628500055 2-s2.0-79956260268 Automation & Control Systems Engineering, Electrical & Electronic Instruments & Instrumentation Automation & Control Systems Engineering Instruments & Instrumentation Article HUMANS ROBOTS Fault detection microphone array voice-based interaction