Session Prosody IV:

Prosody IV: Stress and Rhythm

Type: oral
Chair: Stefanie Shattuck-Hufnagel
Date: Tuesday - August 07, 2007
Time: 09:00
Room: 1 (Red)

 

Prosody IV-1 Phonetic Cues Identifying English Compounds
Tuuli Adams, New York University
Paper File
  This study investigates the acoustic correlates of stress in English compounds by measuring the interaction of stress cues with different intonational environments. Effects on vowel duration, intensity, and pitch changes are compared in contrasting compounds and phrases. The results of an experiment in which participants pronounced compounds and phrases in controlled prosodic and intonational environments provide new evidence that the phonetic indicators of stress interact with these environments in a systematic way.
Prosody IV-2 What is Compound Stress?
Gero Kunter, Universität Siegen
Ingo Plag, Universität Siegen
Paper File
  This paper investigates the implementation of stress in English noun-noun compounds. First, a percep­tion experi­ment examines how listeners perceive pro­mi­nence in compounds. After that, significant acoustic corre­lates of pro­mi­nence are estab­lished. Finally, a cluster analysis is described that classifies com­pounds on the basis of their phonetic features and which is capable of sepa­rating diffe­rent stress categories. The results demonstrate how gradient acoustic measure­ments and discrete phonological contrasts can be mapped onto each other.
Prosody IV-3 Rhythm metrics predict rhythmic discrimination
Laurence White, University of Reading
Sven L. Mattys, University of Bristol
Lucy Series, University of Bristol
Suzi Gage, University of Bristol
Paper File
  Metrics such as VarcoV and %V provide empirical support for long-held notions about rhythmic distinctions between languages. Furthermore, listeners can discriminate languages with distinct rhythm metric scores purely on the basis of the durational information available in resynthesized monotone sasasa speech. However, some factors contributing to this durational variation, such as stress distribution and prosodic timing, are not directly reflected in rhythm scores. To test more precisely the predictive power of rhythm metrics, we used tightly controlled sasasa stimuli, eliminating stress distribution and prosodic timing cues to focus on the information directly quantified by rhythm metrics. We show that VarcoV and %V scores are predictive of listeners’ discrimination within and between languages, even with these highly constrained stimuli.

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