Date of Award

12-2015

Degree Type

Thesis

Degree Name

Master of Science

Major

Electrical Engineering

Major Professor

Mark E Dean

Committee Members

Garrett S Rose, Jon M Hathaway

Abstract

Audio event detection and analysis is an important tool in many fields, from entertainment to security. Recognition technologies are used daily for parsing voice commands, tagging songs, and real time detection of crimes or other undesirable events. The system described in this work is a hardware based application of an audio detection system, implemented on an FPGA. It allows for the detection and characterization of gunshots and other events, such as breaking glass, by comparing a recorded audio sample to 20+ stored fingerprints in real time. Additionally, it has the ability to record flagged events and supports integration with mesh networks to send alerts.

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