1st Edition
Speech Production Models, Phonetic Processes, and Techniques
Speech Production: Models, Phonetic Processes and Techniques brings together researchers from many different disciplines - computer science, dentistry, engineering, linguistics, phonetics, physiology, psychology - all with a special interest in how speech is produced. From the initial neural program to the end acoustic signal, it provides an overview of several dominant models in the speech production literature, as well as up-to-date accounts of persistent theoretical issues in the area. A particular focus is on the evaluation of information gleaned from instrumental investigations of the speech production process, including MRI, PET, ultra-sound, video-imaging, EMA, EPG, X-ray, computer simulation - and many others.
The research presented in this volume considers questions such as: the feed-back vs. feed-forward control of speech; the acoustic/auditory vs. articulatory/somato-sensory domains of speech planning; the innateness of human speech; the possible architecture of a speech production model; and the realization of prosodic structure in speech. Leaders in speech research from around the world have contributed their most recent work to this volume.
Biography
Jonathan Harrington, University of Kiel, Germany. Marija Tabain, University of Western Sydney, Australia.
“The chapters in this volume - by many of the world’s leading speech scientists - offer a fascinating snapshot of the state of speech production research today. The scope of the volume is broad and evidence comes from a variety of sources such as computer modeling, first and second language learning, neurogenic speech disorders, hearing impairments, and phonetic characteristics of different languages, making this a very valuable reference source for the graduate student and researcher in the field.” - William J. Hardcastle, FBA, Director, Speech Science Research Centre, Queen Margaret University College
“This book is a highly informative collection of chapters on speech production and should contribute significantly to our understanding of relevant aspects of language cognition and acquisition, and to the improvement of speech synthesis and speech recognition systems for their use in robotics.” - Daniel Recasens, Universitat Autònoma de Barcelona and Institut d’Estudis Catalans
