Kröger / Bekolay Neural Modeling of Speech Processing and Speech Learning

An Introduction
1. Auflage 2019
ISBN: 978-3-030-15853-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 280 Seiten

Reihe: Biomedical and Life Sciences (R0)

This book explores the processes of spoken language production and perception from a neurobiological perspective. After presenting the basics of speech processing and speech acquisition, a neurobiologically-inspired and computer-implemented neural model is described, which simulates the neural processes of speech processing and speech acquisition. This book is an introduction to the field and aimed at students and scientists in neuroscience, computer science, medicine, psychology and linguistics.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Kröger, Bernd J.

Bekolay, Trevor

Inhaltsverzeichnis

Basics of linguistics and phonetics:  Speech Production.- Speech Perception.-  Speech Acquisition.- Stages of Speech Acquisition.-  Basics of neurobiology and its computer simulation:   Anatomical and Functional Structure of the Nervous System.- Neural Modeling: The STAA-approach.- Neural Modeling: the NEF-approach.-  Models of speech processing and speech acquisition:   A Selection of Models.- The LS-Model (Lexicon-Syllabary-Model).

Über Autor(innen)

Bernd J. Kröger is a physicist (M.Sc.) and phonetician (Ph.D.). He wrote his doctoral thesis on the syntheses of female voice quality and his habilitation thesis on phonetic aspects of speech production at the Philosophical Faculty of the University of Cologne. He has been a senior researcher and professor in the Medical Faculty of RWTH Aachen University since 2001. His major research topic is the development of a theory of speech processing and speech acquisition from a neurobiological perspective. Bernd J. Kröger has published over 100 papers in international journals and books. An important result of his work is, among other things, the development of a computer implemented neural model of speech processing and speech acquisition.

Trevor Bekolay is a computer scientist (M.Math) and theoretical neuroscientist (Ph.D.). He wrote his master’s thesis on unsupervised and supervised learning in the Neural Engineering Framework, and his doctoral thesis on a neural model of speechrecognition and synthesis. He is a co-founder of Applied Brain Research Inc., and has worked there as a senior research scientist since 2016. He is the lead developer of the Nengo neural simulator, which has been used in hundreds of published research projects.