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This work, first published in 1995, is primarily addressed to phonologists interested in speech and to speech engineers interested in phonology, two groups of people with very different expectations about what constitutes a convincing, rigorous study. The subject matter, the application of autosegmental theory for Markov modeling, is technical, but not really esoteric - autosegmental theory is at the core of contemporary phonology and Markov models are the main tool of speech recognition. Therefore, it is hoped that anyone interested in at least one of these two fields will be able to follow the presentation.
List of contents
Preface; Introduction; Acknowledgments; 1. Autosegmental Representations 2. Rules 3. Duration 4. Synchronization 5. Structured Markov Models; Index of Definitions; Index of Authors
About the author
Andras Kornai is a mathematical linguist. Besides phonology, he studied the formal theory of syntax, particularly finite automata and X-bar theory, and formal semantics, with emphasis on lexical semantics. His new textbook,
Semantics, is forthcoming with Springer, where his previous monograph,
Mathematical Linguistics, was published in 2007. Kornai is a professor at the Department of Algebra, Budapest University of Technology and Economics, and a member of Academia Europaea. His homepage is at www.kornai.com.
Summary
This work, first published in 1995, is primarily addressed to phonologists interested in speech and to speech engineers interested in phonology. Autosegmental theory is at the core of contemporary phonology and Markov models are the main tool of speech recognition.
