Speech and Language Engineering
With the rapid growth of the language and speech industry, there is an increasing need for specialists able to work on multi-disciplinary projects combining elements of speech processing, natural language processing, and computer science. A unique text, Speech and Language Engineering builds the theoretical and practical background required for efficient teamwork in modern language and speech engineering. It provides an extensive introduction to the major areas of speech and language technology. Strengthening inter-disciplinary connections, it includes lectures on speech signal processing, speech and speaker recognition, and natural language processing, applications, and linguistic training for language and speech engineers.
The authors move from acoustic signal processing to pragmatics, traversing all the important aspects of speech and language processing such as phonetics, morphology, syntax, and semantics. They have purposefully designed the book to integrate the common thread that runs through the general principles of engineering sciences. The volume exemplifies an emerging methodology that is a key issue in the rational design of efficient and robust language-based computer applications. While engineering rigor is guaranteed in all chapters, the authors highlight the intuitive aspects of technical details. The contributions from acknowledged experts in the relevant sub-disciplines make this book a synthesis and distillation of knowledge into a coherent presentation.
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Components of a Natural Language Grammar
Linguistic Models for Parsing and Generation
Introduction to Semantics
Introduction to Pragmatics
Digital Signal Processing
Speech Signal Modeling and Analysis
Speech Coding Techniques and Standards
MorphoLexical Processing and PartofSpeech Tagging
Multilingual Natural Language Processing
Automatic Speech and Speaker Recognition
Speech Synthesizers and Automatic
Applied Models for ManMachine Dialogue
ManMachine Voice Communication
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acoustic algorithm analysis applications approach associated coder communication complex components computational concept context corpus corresponding CYK algorithm database decoder defined derived dialogue acts Dialogue Manager dialogue systems discourse distribution documents encoded estimate example filter Fourier transform frequency function Gaussian gengle Genglish given grammar Hidden Markov Models implementation implicatures input interaction interface interpretation kbit/s language model lexical lexical semantics lexicon likelihood linear prediction linguistic machine translation Markov model maximizing meaning module n-grams natural language natural language processing node noun optimal output parameters parser parsing part-of-speech Part-of-Speech tagging phoneme possible pragmatics probabilities problem quantization relevant representation represented rules samples semantic sentence sequence Signal Processing speaker speaker recognition speaker verification spectral speech acts speech coding speech processing speech recognition speech signal speech synthesis structure syntactic task techniques typically utterance variables verb voice word sense disambiguation WordNet words