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A Motion Control of Mobile Robot Based on Voice Command
Byoung-Kyun Shim,Woo-Song Lee,Jong-Baem Won,Sung-Hyun Han 한국생산제조학회 2010 한국생산제조시스템학회 학술발표대회 논문집 Vol.2010 No.10
In general, it is possible to estimate the noise by using information on the robot’s own motions and postures, because a type of motion and gesture produces almost the same pattern of noise every time. In this paper, we describe an voice recognition control system for robot(VRCS) system which can robustly recognize voice by adults and children in noisy environments. We evaluate the VRCS system in a communication robot placed in a real noisy environment. Voice is captured using a wireless microphone. To suppress interference and noise and to attenuate reverberation, we implemented a multi-channel system consisting of an outlier-robust generalized side-lobe canceller technique and a feature-space noise suppression using MMSE criteria. Voice activity periods are detected using GMM-based end-point detection.
A Motion Control of Mobile Robot Based on Voice Command
Byoung-Kyun Shim,Woo-Song Lee,Jong-Baem Won,Sung-Hyun Han 한국생산제조학회 2010 한국공작기계학회 추계학술대회논문집 Vol.2010 No.-
In general, it is possible to estimate the noise by using information on the robot’s own motions and postures, because a type of motion and gesture produces almost the same pattern of noise every time. In this paper, we describe an voice recognition control system for robot(VRCS) system which can robustly recognize voice by adults and children in noisy environments. We evaluate the VRCS system in a communication robot placed in a real noisy environment. Voice is captured using a wireless microphone. To suppress interference and noise and to attenuate reverberation, we implemented a multi-channel system consisting of an outlier-robust generalized side-lobe canceller technique and a feature-space noise suppression using MMSE criteria. Voice activity periods are detected using GMM-based end-point detection.
An Intelligent Control of Mobile Robot Based on Voice Command
Byoung-Kyun Shim,Kwang-wook Kang,Woo-Song Lee,Jong-Baem Won,Sung-Hyun Han 제어로봇시스템학회 2012 제어로봇시스템학회 국제학술대회 논문집 Vol.2012 No.10
In general, it is possible to estimate the noise by using information on the robot’s own motions and postures, because a type of motion and gesture produces almost the same pattern of noise every time. In this paper, we describe an voice recognition control system for robot(VRCS) system which can robustly recognize voice by adults and children in noisy environments. We evaluate the VRCS system in a communication robot placed in a real noisy environment. Voice is captured using a wireless microphone. To suppress interference and noise and to attenuate reverberation, we implemented a multi-channel system consisting of an outlier-robust generalized side-lobe canceller technique and a feature-space noise suppression using MMSE criteria. Voice activity periods are detected using GMM-based end-point detection
An Intelligent Control of Mobile Robot Based on Voice Command
Byoung-Kyun Shim,Kwang-wook Kang,Woo-Song Lee,Jong-Baem Won,Sung-Hyun Han 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
In general, it is possible to estimate the noise by using information on the robot’s own motions and postures, because a type of motion and gesture produces almost the same pattern of noise every time. In this paper, we describe an voice recognition control system for robot(VRCS) system which can robustly recognize voice by adults and children in noisy environments. We evaluate the VRCS system in a communication robot placed in a real noisy environment. Voice is captured using a wireless microphone. To suppress interference and noise and to attenuate reverberation, we implemented a multi-channel system consisting of an outlier-robust generalized side-lobe canceller technique and a feature-space noise suppression using MMSE criteria. Voice activity periods are detected using GMM-based end-point detection