Abstract
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.
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Jung, S.W., Park, M.Y., Park, I.M., Jung, Y.K., Shin, H.B. (2013). A Robust Control of Intelligent Mobile Robot Based on Voice Command. In: Lee, J., Lee, M.C., Liu, H., Ryu, JH. (eds) Intelligent Robotics and Applications. ICIRA 2013. Lecture Notes in Computer Science(), vol 8102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40852-6_16
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DOI: https://doi.org/10.1007/978-3-642-40852-6_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40851-9
Online ISBN: 978-3-642-40852-6
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