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Neural Modeling of Speech Processing and Speech Learning

An Introduction

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  • © 2019

Overview

  • This book describes basic neurobiological principles of speech processing and speech learning
  • It introduces two basic neurocomputational approaches for speech processing and speech learning
  • This book enriches our understanding of speech production, speech perception, and speech acquisition

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Table of contents (9 chapters)

  1. Basics of Linguistics and Phonetics

  2. Basics of Neurobiology and Its Computer Simulation

  3. Models of Speech Processing and Speech Learning

Keywords

About this book

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.

Authors and Affiliations

  • Department of Phoniatrics, Pedaudiology and Communications Disorders, RWTH Aachen University, Aachen, Germany

    Bernd J. Kröger

  • Applied Brain Research, Waterloo, Canada

    Trevor Bekolay

About the authors

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.


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