Voice Characterization to Estimate the Closeness of the Unknown Voice with Reference Voice Using Spartan 6

In todays world implementation of any expert system with maximum data and networking security becomes a real necessity in academic organizations as well as in industrial communities. In this paper, an expert security system is developed using speech recognition technology. The proposed system is a chamber, which is closed by a sliding door. A smart microphone is situated in front of the door, will receive the voice samples and allows the hardware sensor to open/close the door of the system. To develop this security system, Spartan 6 FPGA is used as a hardware sensor, which is further connected with a server PC, placed inside the system for on/off control of motor. Xilinx is used to port the VHDL program in Spartan 6 FPGA. The speech recognition is performed using MAT Lab SIMULINK in server PC. This further sense the correct voice sample and sends feedback to the Spartan. Finally Spartan controls the motor of the sliding door to open/close. This VLSI designed FPGA based proposed system using Xilinx will ensure fast service compared to earlier micro-processor based VSS bio-metric switched door control. Such Spartan based system ensures the security of the system at a highest level and will also protect the system from any external undesirable threats suitably.