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Technological advances have had profound effects on the conduct of military operations in both peacetime and in war. One advance that has had a great impact outside the military by reducing human intervention is Voice Recognition (VR) technology. This thesis will examine the implementation of a Voice Recognition System as a shipdriving device and as a means of decreasing the occurrence of mishaps while reducing the level of fatigue of watchstanders on the bridge. Chapter I will discuss the need for the United States Navy to investigate the implementation of a Voice Recognition System to help reduce the probability of mishaps occurring. Chapter II will explain voice recognition technology, how it works, and how the proposed system can be fielded aboard U.S. Navy ships. Chapter III will examine the opinions (on the implementation of a Voice Recognition System) of officers charged with the safe navigation of naval ships. Chapter IV will review the concerns of officers, and will justify the implementation by answering these concerns. The conclusion will iterate the advances in voice recognition, and why a Voice Recognition system should be implemented on the bridges of U.S. Navy ships. http://archive.org/details/voicerecognition109451047 Lieutenant, United States Navy Approved for public release; distribution is unlimited.

One of the main input devices to computerized systems is Voice Recognition Systems (VRS). VRS is best suited for applications where job functions require more than two hands to be performed. The performance of VRS is highly dependent on the environment's noise. The higher the noise level the lower the recognition capability. Automatic lip reading through vision systems have been utilized to improve the recognition capability in noisy environments. However, this approach is costly and time-consuming. The objective of this thesis was to investigate the utilization of an Infrared sensor for automatic lip reading to improve the recognition performance of VRS. The developed system is cheaper and faster than other automatic lip readers. The test results of fifty words and eleven digits indicated that the method has good repeatability, and good character recognition, while not dependent on or sensitive to the ambient light level. Although speaker independence was tested, the results are inconclusive. Master of Science

Voiceprints were admitted as evidence in a Florida criminal case against the defendant’s objections and helped to secure his conviction. As the reliability of voiceprints and spectrogram analysis continues to be proven by scientific evidence, the author argues that the courts and law enforcement should begin to utilize these tools more often.