Abstract: The various embodiments herein provide a system and method to track the pitch of a human being in real time using time varying model. According to one embodiment, the input voice is synthesised to obtain a lower order model. The lower model is down sampled and fitted to a time varying 2nd order model. The down sampled signal is passed through a pitch tracking filter, a fading filter and a gradient filter to obtain a pitch signal in real time. The noise included in the pitch signal is removed by passing the acquired pitch signal through a Kalman filter to obtain a smoothened pitch signal in real time.
Type:
Application
Filed:
December 26, 2009
Publication date:
July 1, 2010
Applicant:
TANLA SOLUTIONS LIMITED
Inventors:
KALURI V RANGA RAO, SATISH KATHIRISETTI, SRIDHAR VENKATANARASIMHAN
Abstract: An automation and security system includes a plurality of communication nodes configuring one or more ad-hoc mesh networks. The communication nodes are operatively coupled with at least one of an automation device and/or a security device. The automation and/or the security device senses the occurrence of a situation and communicates a situation data of the situation in real-time to the communication nodes. The situation data is then dynamically routed over the ad-hoc mesh network to a central monitoring station which then automatically processes the situation data to provide a real-time notification to the end user of the system.
Abstract: An automatic tracking and security system has a plurality of mobile nodes, one or more fixed nodes, and a central monitoring station. The plurality of mobile nodes and at least one fixed node configure a wireless ad-hoc mesh network. The central monitoring station uses GPS-assistance data to the plurality of mobile nodes over the wireless ad-hoc mesh network. The plurality of mobile nodes compute the location data using the GPS-assistance data. The plurality of mobile nodes also include one or more security modules which sense an occurrence of a situation and provide situation data. The location data and/or the situation data are dynamically routed over the wireless as-hoc mesh network from the plurality of mobile nodes to the central monitoring station. The central monitoring station automatically processes the location data and/or the situation data and sends a notification to an end user.
Abstract: An automated meter reading system and method include a plurality of communication nodes forming ad-hoc mesh network. The plurality of communication nodes collect utility usage data from utility meters. A controller station communicates with the ad-hoc mesh network, which dynamically routes the utility usage data to the controller station. A central monitoring station communicates with the controller station. The central monitoring station receives and processes the utility usage data from the controller station for the efficient and accurate billing and other accounting and management operations.