FUNDAMENTAL OF SPEECH RECOGINITION

Provides a theoretically sound technically accurate and complete description of the basic knowledge and ideas that constitute a modern system for speech recognition by machine. Covers production perception and acoustic-phonetic characterization of the speech signal; signal processing and analysis methods for speech recognition; pattern comparison techniques; speech recognition system design and implementation; theory and implementation of hidden Markov models; speech recognition based on connected word models; large vocabulary continuous speech recognition; and task- oriented application of automatic speech recognition. For practicing engineers scientists linguists and programmers interested in speech recognition.