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Part I - Phonetic Correlates and Prominence Distinctions

Published online by Cambridge University Press:  07 December 2018

Rob Goedemans
Affiliation:
Universiteit Leiden
Jeffrey Heinz
Affiliation:
Stony Brook University, State University of New York
Harry van der Hulst
Affiliation:
University of Connecticut

Information

Figure 0

Figure 1.1 Duration (ms) of seven segments in the sequence /pVpVpVp/ as a function of stress position (initial, medial, final) in accented versus unaccented non-words with short (lax) and long (tense) vowels.

(data from Nooteboom 1972, appendices 11–12)
Figure 1

Figure 1.2 Effect of normal versus raised voice on volume-velocity of airflow through glottis (top left) and its first derivative (bottom left). The right-hand panel shows the effect of decreased Open Quotient (OQ) and Closure Quotient (CQ) due to raised voice on the spectral envelop (difference is exaggerated). t1: maximum flow during glottal cycle, t2 fastest decrease of glottal flow, t3 complete glottal closure (no flow).

Graphs are based on Sluijter (1995) and van Heuven (2001).
Figure 2

Figure 1.3 Effects of sentence (left-hand column) and word (right-hand column) stress on spectral tilt. Intensity (in dB) is plotted for four frequency bands (B1: <.5 KHz, B2: .5–1 KHz, B3: 1–2 KHz, B4: 2–4 KHz).

Figure 3

Figure 1.4 F1 and F2 (Bark) of three Dutch tense peripheral vowels produced by 15 male speakers in five stress conditions

(after van Bergem 1993).
Figure 4

Figure 1.5 Correct classification (%) by Linear Discriminant Analysis of sentence stress (+F, left-hand panels) and word stress (−F, right-hand panels) in American-English reiterant disyllables /bibi/, /bɛbɛ/ and /bɑbɑ/. Predictors are the traditional acoustic correlates of stress (top panels) or estimates of glottal parameters (bottom panels).

(see Sluijter and van Heuven 1996b for details)
Figure 5

Figure 1.6a Initial stress perceived (%) as a function of intensity difference between V1 and V2 (in dB) and of duration ratio between V1 and V2 in minimal stress pairs in English (after Fry 1955).Figure 1.6b As Figure 6a but for Dutch.

(after van Heuven and Sluijter 1996)
Figure 6

Figure 1.7a–b Percentage of initial stress perceived as a function of temporal structure (duration of V1 and V2, horizontal) and of intensity difference (vertical). In panel A the intensity in V1 and V2 was varied uniformly (amplification/attenuation of gain factor); in panel B intensity variations were made selectively at frequencies above 500 Hz only (yielding differences in spectral tilt).

Figure 7

Figure 1.8 Per cent stress perceived on first syllable as a function of relative duration of manipulated segment (onset, vocalic nucleus, coda) in either first (left panels) or second (right panels) syllables with short/lax (upper panels) or long/tense (lower panels) vowel. Target segments are embedded in reiterant CVC.CVC non-words.

Figure 8

Figure 1.9aFigure 1.9a Percentage initial stress perceived in English as a function of V1/V2 duration ratio and of vowel reduction in F1 (left), F2 (middle) or both (right) in either V1 (steps f1–f3) or V2 (steps f4–f6) (after Fry 1965).

Figure 9

Figure 1.9aFigure 1.9b Percentage of initial stress perceived in Dutch as a function of V1/V2 duration ratio and spectral reduction in V1.

(from van Heuven and de Jonge 2011)
Figure 10

Figure 1.10 Automatic classification of syllables as stressed or unstressed (per cent correct) for two variable-stress languages (Spanish, Greek) and two fixed-stress languages (Hungarian, Turkish). Target words were either in focus (sentence stress) or out of focus (word stress).

Based on Vogel, Athanasopoulou and Pincus (2016).
Figure 11

Figure 1.11 Stress perceived (%) by native listeners of four different languages on deviant syllable as a function of duration increment of deviant vowel in sequences /bɪbɪbɪbɪ/ synthesized on a 100-Hz monotone.

(computed on data from Berinstein 1979)
Figure 12

Figure 1.12 Vowel duration (ms) in four languages broken down by syllables with and without word stress and words with and without sentence stress (+focus and −focus, respectively). Of these only Hungarian has a short–long opposition in the vowel system.

Data from Vogel, Athanasopoulou and Pincus (2016).
Figure 13

Figure 1.13 Per cent correct automatic classification of stress (left-hand panel) and lexical tone (right-hand panel) in Samate Ma’ya on the basis of the same four acoustic parameters.

(after Remijsen 2002: 64, 67)
Figure 14

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