Faculty Publications

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Author: search.filters.author.Lokesha, H.

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    Virtual sensor based Feedback Active Noise Control for neonates in NICU
    (IEEE Computer Society, 2013) Veena, S.; Pavithra, S.; Lokesha, H.; Narasimhan, S.V.; More, N.V.
    In this paper, a novel approach based on Feedback Active Noise Control with Virtual sensing has been proposed to reduce the Neonatal Intensive Care Unit (NICU) noise for infants in incubator. In NICU, the noise is due to infant monitoring medical equipments located in the vicinity of incubators. To address this, the algorithms in the literature are based on feedforward approach which requires a good reference to achieve effective attenuation. In an NICU environment, these algorithms require more than one reference microphone, which increases the complexity of the algorithm. This is eliminated by the proposed Feedback Active Noise Control approach as it generates its own reference from the error signal. The baby's ears must fall in the zone of silence (ZOS) to ensure noise reduction at its ears. But the volume of ZOS is inversely proportional to noise frequency and for frequencies above 1 KHz the ZOS is less than an inch. This constraint is overcome by the virtual sensing technique, which focuses the ZOS at baby's ears. The algorithm is evaluated with noise record from Neonatal Intensive Care Unit and it has resulted in 7dB more reduction at the baby's ears compared to existing algorithms. © 2013 IEEE.
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    Development of Voice Activated Ground Control Station
    (Elsevier B.V., 2016) Rahul, D.K.; Veena, S.; Lokesha, H.; Vinay, S.; Kumar, B.P.; Ananda, C.M.; Durdi, V.B.
    This paper chronicles the development of Automatic Speech Recognition (ASR) system that can be integrated to Ground Control Station (GCS) of MAVs to achieve voice activation. The first part of the paper highlights the nature of aerospace speech signals and hence the issues to be considered while designing a voice activated aerospace application. The second part describes the development and integration of an ASR capability to the GCS. © 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.