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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>natural languages occurs because <strong>the</strong> mean<strong>in</strong>g of a sentence is <strong>in</strong>fluencedby <strong>the</strong> context around <strong>the</strong> sentence.A very basic natural language understand<strong>in</strong>g system can be builtfrom a 1,000-word, speaker-<strong>in</strong>dependent system. A more complete systemfor natural language understand<strong>in</strong>g would use a 10,000-word vocabulary.Voice RecognitionEarly voice recognition depended on voice pr<strong>in</strong>ts which are digitalrecord<strong>in</strong>gs of short parts of speech. These pr<strong>in</strong>ts were analyzed for <strong>the</strong>length of a word and for <strong>the</strong> frequencies used <strong>in</strong> <strong>the</strong> word. Each voicepr<strong>in</strong>t acted like a f<strong>in</strong>gerpr<strong>in</strong>t and had to be memorized for every personthat <strong>the</strong> computer would receive voice <strong>in</strong>put from.As <strong>the</strong> number of words <strong>in</strong> <strong>the</strong> vocabulary grows and <strong>the</strong> numberof persons us<strong>in</strong>g <strong>the</strong> system <strong>in</strong>creases, <strong>the</strong> amount of memory requiredfor stor<strong>in</strong>g <strong>the</strong> voice pr<strong>in</strong>ts expands and <strong>the</strong> time needed to search <strong>the</strong>voice pr<strong>in</strong>ts for a match goes up. Voice pr<strong>in</strong>t systems tend to be impracticalfor handl<strong>in</strong>g large vocabularies.Ano<strong>the</strong>r type of voice recognition uses phonics to recognize words.This requires stor<strong>in</strong>g <strong>the</strong> known phonemes of speech for a particularlanguage. These phonemes are <strong>the</strong> smallest units of speech that dist<strong>in</strong>guishone utterance from ano<strong>the</strong>r.Each word <strong>in</strong> <strong>the</strong> vocabulary is represented by <strong>the</strong>se phonemes.When a voice <strong>in</strong>put is received, <strong>the</strong> <strong>in</strong>put is broken down <strong>in</strong>to a str<strong>in</strong>gof phonemes and <strong>the</strong> computer makes its best guess at match<strong>in</strong>g <strong>the</strong>utterances to <strong>the</strong> phonemes. The computer must also recognize <strong>the</strong>breaks between each word.The computer takes <strong>the</strong> str<strong>in</strong>g of received phonemes and compares<strong>the</strong>m to known word phoneme patterns. The computer may ask for <strong>the</strong>mean<strong>in</strong>g of a new word or for repronounication of <strong>the</strong> word. If it is anew word, <strong>the</strong> computer will add <strong>the</strong> phonemes and def<strong>in</strong>ition to itsdictionary.Humans <strong>in</strong>crease <strong>the</strong> speed of <strong>the</strong>ir speech process<strong>in</strong>g by assum<strong>in</strong>gwhat <strong>the</strong>y expect to hear. This technique occasionally leads to mistakesand <strong>the</strong> hearer may have to ask for part of <strong>the</strong> speech to be repeated. Allof a person’s past experiences are used for reference <strong>in</strong> speech process<strong>in</strong>g.©2001 by The Fairmont Press, Inc. All rights reserved.

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