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HVAC Control in the New Millennium.pdf - HVAC.Amickracing

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Artificial Intelligence, Fuzzy Logic and <strong>Control</strong>man. A word spoken by a human has a complex waveform that is asunique as a f<strong>in</strong>gerpr<strong>in</strong>t. The electronic record<strong>in</strong>gs of human words arecalled voice pr<strong>in</strong>ts. A speaker-dependent system is less costly than aspeaker-<strong>in</strong>dependent system, but it must be tra<strong>in</strong>ed by hav<strong>in</strong>g <strong>the</strong> <strong>in</strong>tendeduser speak <strong>the</strong> command words while <strong>the</strong> system records <strong>the</strong>m.These voice pr<strong>in</strong>ts are later used by <strong>the</strong> system for match<strong>in</strong>g <strong>the</strong> present<strong>in</strong>put.Most systems digitize <strong>the</strong> voice pr<strong>in</strong>t and break it down <strong>in</strong>to itsdifferent frequency components. The more <strong>in</strong>formation saved about <strong>the</strong>voice, <strong>the</strong> more secure <strong>the</strong> system is from unauthorized use. If <strong>the</strong> personis talk<strong>in</strong>g under stress or <strong>in</strong> a noisy environment, <strong>the</strong> system maynot recognize <strong>the</strong> commands given. Most speaker-dependent systemshave a limited number of words <strong>in</strong> <strong>the</strong>ir vocabulary. A speaker-dependentsystem must also be retra<strong>in</strong>ed when you switch users.Speaker-<strong>in</strong>dependent SystemsA speaker-<strong>in</strong>dependent system is a voice recognition system designedto recognize commands given to it no matter who does <strong>the</strong>speak<strong>in</strong>g. S<strong>in</strong>ce different persons say words at different speeds, frequencies,and <strong>in</strong>flections, a speaker-<strong>in</strong>dependent system must analyze <strong>the</strong>speech <strong>in</strong> several steps and <strong>the</strong>n base its identification on <strong>the</strong> results.First, it breaks <strong>the</strong> sounds down <strong>in</strong>to phonemes so it must be ableto f<strong>in</strong>d <strong>the</strong> pauses <strong>in</strong> <strong>the</strong> words. Then, it looks up <strong>the</strong> phonemes <strong>in</strong> itsmemory and tries to f<strong>in</strong>d <strong>the</strong> words <strong>the</strong>y represent, which can requirestor<strong>in</strong>g several pronunciations of <strong>the</strong> words. Then, it compares <strong>the</strong>sewords aga<strong>in</strong>st known commands and selects a command. If a commandis not understood, <strong>the</strong> speech recognition system must request that <strong>the</strong>command be given aga<strong>in</strong>.For short vocabularies, <strong>the</strong> voice pr<strong>in</strong>t technique can be used by aspeaker-dependent system. For large vocabularies, <strong>the</strong> phonic techniquetakes less memory space and is more efficient.Isolated-word Recognition SystemsIsolated-word recognition refers to a speech recognition systemthat only hears one word at a time (Figure 6-1). It processes <strong>the</strong> word it©2001 by The Fairmont Press, Inc. All rights reserved.

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