Stefan Uhrig

Human Information Processing in Speech Quality Assessment (eBook, PDF)

• Format: PDF

Produktbeschreibung

This updated book introduces a new process-oriented approach towards speech quality assessment. Using multiple methods, this approach allows readers to investigate the influence of speech transmission quality on perceptual and cognitive processes in human listeners. Fundamental concepts and methods related to the topic of process-oriented speech quality assessment are introduced and discussed. Moreover, a functional process model of speech quality perception is described, which theoretically integrates the 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, Psychophysiology, and Audiology.

• Uncovers influences of speech transmission quality on human information processing;
• Proposes multi-method speech quality assessment, including experiential, behavioral, and neurophysiological levels of analysis;
• Reports interactions between quality factors of human perceived speech quality, contextual and content-related influencing factors.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 237
• Erscheinungstermin: 13. Januar 2025
• Englisch
• ISBN-13: 9783031776465
• Artikelnr.: 72811988

Autorenporträt

Stefan Uhrig received M.Sc. degrees in Psychology (Focus: Experimental and Cognitive Psychology) at the University of Giessen (2013) and in Human Factors at the Technical University (TU) of Berlin (2016). From February 2017 to January 2021, he worked as a Researcher at the Quality and Usability Lab of TU Berlin. Since February 2021 he is working as a Usability Engineer in the industry.

Inhaltsangabe

Introduction.- Speech Quality Fundamentals.- Speech Quality Assessment.- Functional Model of Quality Perception.- Discrimination of Speech Quality Change Along Perceptual Dimensions.- Talker Identification Under Varying Speech Quality and Spatialization.- General Discussion and Outlook.- Conclusion.