Overview
- Offers a groundbreaking combination of neuroscience methods and quality of experience research
- Successfully applies this combination of methods to speech stimuli of multiple durations
- Demonstrates that quality impairment intensity has an impact on the intensity of physiological reactions
- Includes supplementary material: sn.pub/extras
Part of the book series: T-Labs Series in Telecommunication Services (TLABS)
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About this book
This book interconnects two essential disciplines to study the perception of speech: Neuroscience and Quality of Experience, which to date have rarely been used together for the purposes of research on speech quality perception. In five key experiments, the book demonstrates the application of standard clinical methods in neurophysiology on the one hand and of methods used in fields of research concerned with speech quality perception on the other.
Using this combination, the book shows that speech stimuli with different lengths and different quality impairments are accompanied by physiological reactions related to quality variations, e.g., a positive peak in an event-related potential. Furthermore, it demonstrates that – in most cases – quality impairment intensity has an impact on the intensity of physiological reactions.
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Keywords
Table of contents (7 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Neural Correlates of Quality Perception for Complex Speech Signals
Authors: Jan-Niklas Antons
Series Title: T-Labs Series in Telecommunication Services
DOI: https://doi.org/10.1007/978-3-319-15521-0
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-15520-3Published: 17 March 2015
Softcover ISBN: 978-3-319-38654-6Published: 06 October 2016
eBook ISBN: 978-3-319-15521-0Published: 11 February 2015
Series ISSN: 2192-2810
Series E-ISSN: 2192-2829
Edition Number: 1
Number of Pages: XIV, 97
Number of Illustrations: 11 b/w illustrations, 22 illustrations in colour
Topics: Signal, Image and Speech Processing, User Interfaces and Human Computer Interaction, Biomedical Engineering and Bioengineering, Neurosciences