Swiss German Intonation Patterns

| University of Zurich
HardboundAvailable
ISBN 9789027234902 | EUR 105.00 | USD 158.00
 
e-Book
ISBN 9789027273840 | EUR 105.00 | USD 158.00
 
Switzerland is renowned for having a diverse linguistic and dialectal landscape in a comparatively small and confined space. Possibly, this is one of the reasons why Swiss German dialects have been investigated thoroughly on various linguistic levels. Nevertheless, natural speech intonation has, until today, not been examined systematically. The aim of this study is to analyze natural Swiss German fundamental frequency behavior according to linguistic, paralinguistic, and extralinguistic variables, using statistical tests against the backdrop of detecting dialect-specific patterns as well as cross-dialectal differences. The intonation analyses were conducted with the mathematically-formulated Command-Response model. This is the first large-scale study that applies this framework on a large corpus of natural, dialectal speech. It brings to light detailed underlying patterns of Swiss German dialectal fundamental frequency behavior and provides a holistic account of the truly multilayered features of natural speech intonation.
[Studies in Language Variation, 10]  2012.  xv, 331 pp.
Publishing status: Available
Table of Contents
Abbreviations used
xiii–xiv
SAMPA reference
xv–xvi
Chapter 1. Introduction
1–4
Chapter 2. Intonation
5–30
Chapter 3. Intonation models
31–40
Chapter 4. Command-Response model: Fujisaki
41–68
Chapter 5. Swiss German
69–100
Chapter 6. Methods
101–134
Chapter 7. Application of the Fujisaki model
135–166
Chapter 8. Overall results
167–178
Chapter 9. Linguistic variables
179–194
Chapter 10. Paralinguistic variables
195–232
Chapter 11. Non-linguistic variables
233–244
Chapter 12. Linear models
245–260
Chapter 13. Dialect profiles
261–292
Chapter 14. Conclusion
293–298
References
299–316
Appendix
317–328
Subject and Author index
329–332
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Leemann, Adrian
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Mixdorff, Hansjörg, Adrian Leemann & Volker Dellwo
2014. The influence of speech rate on Fujisaki model parameters. EURASIP Journal on Audio, Speech, and Music Processing 2014:1 Crossref logo
Ruch, Hanna
2018. The Role of Acoustic Distance and Sociolinguistic Knowledge in Dialect Identification. Frontiers in Psychology 9 Crossref logo

This list is based on CrossRef data as of 02 may 2020. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.

Subjects
BIC Subject: CF/2ACG – Linguistics/German
BISAC Subject: LAN009000 – LANGUAGE ARTS & DISCIPLINES / Linguistics / General
U.S. Library of Congress Control Number:  2012012903