For those Involved in peticing and implementing systems for hamarmachine enerface заковатор Lawrence Furner and Bling-hwang Juang offer a comprehenave nam Imation of the vet speech recognition principles and unde mng theory's

Fn-tamentale of Speech Recognition:

Degins with wood, meluding discussion of the breadth and pepty of te veron despire that is required for a deep understanding of all aspects

Review, they of acoustic-phonetics itt which the authors try to characterize basic speech sounds according to both their ingustid properties and the associated measure

Discusses the fundamental techniques used to provide the speech teatures used in al ction systems, parar the filter bank method approach and the Inear prediction

Delta tundamental problema of defining speech feature vector patterns and επρεπή πουfendre vector patterns both ocally and globally so as to derive a measure of Livre larity Optween speech utterances

Examines the key sues of froning a speech moognizer ant adapting the recognizer paranieters to cifferent speakers and speaking enalronments:

Introduces a lesio sot of autoale sumatical modeling techniques for characterizing kpeech

Extends the speech recognition protem from sing word utterances to lijent speech

Considers the man ficton, the affect the performance of a pench recognizer in various deployment conditions and clscusses means to enhance the system robustness

Concludes discussing the basic principles that make some tasks successtut while otherm

sumasiner youre a practicing, scientist inguist programmer or are just interested learning core about this tascinating field, this book provides a comprehensive yet accessible.introduction to the fundamentas of speech recognition.

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