Overview
- Presents a new process-oriented approach towards speech quality assessment to uncover influences of speech transmission quality on human information processing
- Proposes a multi-method assessment approach including subjective, behavioral, and neurophysiological levels of analysis
- Reports findings from three experimental studies, that demonstrate interactions between perceived speech quality, contextual, and content-related influencing factors
Part of the book series: T-Labs Series in Telecommunication Services (TLABS)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book provides a new multi-method, process-oriented approach towards speech quality assessment, which allows readers to examine the influence of speech transmission quality on a variety of perceptual and cognitive processes in human listeners. Fundamental concepts and methodologies surrounding the topic of process-oriented quality assessment are introduced and discussed. The book further describes a functional process model of human quality perception, which theoretically integrates results obtained in three experimental studies. This book’s conceptual ideas, empirical findings, and theoretical interpretations should be of particular interest to researchers working in the fields of Quality and Usability Engineering, Audio Engineering, Psychoacoustics, Audiology, and Psychophysiology.
Authors and Affiliations
About the author
Stefan Uhrig received M.Sc. degrees in Psychology at the University of Giessen (2013) and in Human Factors at the Technical University (TU) of Berlin (2016). Since February 2017, he has been working as a researcher at the Quality and Usability Lab of TU Berlin.
Bibliographic Information
Book Title: Human Information Processing in Speech Quality Assessment
Authors: Stefan Uhrig
Series Title: T-Labs Series in Telecommunication Services
DOI: https://doi.org/10.1007/978-3-030-71389-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-71388-1Published: 04 June 2021
Softcover ISBN: 978-3-030-71391-1Published: 05 June 2022
eBook ISBN: 978-3-030-71389-8Published: 03 June 2021
Series ISSN: 2192-2810
Series E-ISSN: 2192-2829
Edition Number: 1
Number of Pages: XVI, 169
Number of Illustrations: 4 b/w illustrations, 41 illustrations in colour
Topics: Signal, Image and Speech Processing, User Interfaces and Human Computer Interaction, Natural Language Processing (NLP), Engineering Acoustics