Using Speech Recognition
Speech recognition is becoming part of our daily lives. Hardware and software system developers, consumer product designers, researchers, and innovative computer users are creating speech recognition applications that range from voice control of dishwashers to meaningful human-computer dialogues. Using Speech Recognition is a comprehensive, unbiased examination of the speech recognition industry. It explains the technology using clear, understandable language and explores differences among existing commercial speech recognition products. Using Speech Recognition describes successful applications along with the technology and human factors involved in designing good speech recognition applications. Most chapters contain a "Technology Focus" section that explains aspects of the technology and an "Application Focus" section that addresses application-development issues.
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Chapter 1What is Speech Recognition?
1 Growth in power of Intel microprocessors
Chapter 2What is a Speech Recognition System?
19 other sections not shown
acoustic acoustic-phonetic active vocabulary algorithms application developers approach ARPABET assessment AT&T auditory background noise beam searching bigram branching factor called callers Carnegie Mellon University chapter coarticulation command-and-control commercial contain context-free grammar continuous speech recognition create data entry database described dialing dictation systems digits discrete-word Dragon Systems DragonDictate enrollment errors evaluation example figure finite-state grammar formant frequency function goal hidden Markov models HMM's human factors identify interaction Juang Kai-Fu Lee language model large vocabulary systems microphones N-gram N-gram models neural networks patterns perform phoneme Rabiner & Juang recognition products recognized reference models represent samples sequence signal sound speaker adaptation speaker modeling speaker-independent models speaking environment speech recognition applications speech recognition systems speech recognition technology speech system spoken language structure subword modeling task techniques template matching testing tion touch-tone trademark types users utterance variability vendors WESTLAW word spotting