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Complementary length in vowel–consonant sequences: Acoustic and perceptual evidence for a sound change in progress in Bavarian German

Published online by Cambridge University Press:  15 January 2017

Felicitas Kleber*
Affiliation:
Institute of Phonetics and Speech Processing, Ludwig-Maximilians-Universität München, Germanykleber@phonetik.uni-muenchen.de
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Abstract

This study is concerned with the Bavarian German dialect feature of complementary length in vowel plus consonant sequences according to which tense (long) vowels always precede lenis stops (short closure) and lax (short) vowels always precede fortis stops (long closure). The study investigates whether a vowel length contrast is developing before fortis stops due to dialect leveling. We measured vowel and consonant duration in trochaic words differing only in vowel length which were read by 40 older and younger Bavarian and Saxon (control group) German speakers. Older Bavarians distinguished tense and lax vowels by means of vowel to vowel plus consonant ratios that indicate an inverse timing pattern. Saxons and younger Bavarians signal the tense–lax distinction independently of the following stop length. A perception test showed that this sound change in progress also affects perception. We argue for a contact-induced change which is triggered by external as opposed to internal factors.

Information

Type
Research Article
Copyright
Copyright © International Phonetic Association 2017
Figure 0

Table 1 Mean ratios for V+C combinations plus one example per combination. The data from Braunschweiler (1997) has been recalculated following the method in Kohler (1979).

Figure 1

Table 2 Number of analyzed tokens shown separately for each vowel and for younger and older Saxon and Bavarian speakers.

Figure 2

Figure 1 Segmentation example of the word betten produced by an older female Bavarian speaker. The bottom panel shows the spectrogram and the superimposed formant frequencies. Obvious formant-tracking errors (as shown here in blue for the forth formant frequency) have been corrected. The formant frequencies and the duration of the accented vowel (here E) and the closure phase (c) have been extracted from this emu-database in R.

Figure 3

Figure 2 Probability density plots of ln(Vdur) (left panel) and ln(Closdur) (right panel) in all lax (dashed, black) and tense (solid, gray) vowel words with post-vocalic stops separately for the four speaker groups.

Figure 4

Table 3 Number of tokens with schwa (ə) and with schwa deletion (Ø) and their mean Vdur/(Vdur+Cdur) ratios, the percentage of tokens with schwa deletion, and the t, df, and p-values from the two-sample t-tests shown separately for tense and lax vowels from younger and older, Saxon and Bavarian speakers.

Figure 5

Figure 3 Mean Vdur/(Vdur+Closdur) ratio differences between tense and lax vowels before obstruents (Diffobs) averaged across all three minimal pairs shown separately for younger and older, Bavarian and Saxon speakers. Each of the four boxes contains one data point per speaker.

Figure 6

Figure 4 Probability density plots of ln(Vdur) (left panel) and ln(Sdur) (right panel) in all lax (dashed, black) and tense (solid, gray) vowel words with post-vocalic sonorants separately for the four speaker groups.

Figure 7

Figure 5 Mean Vdur/(Vdur+Sdur) ratio differences between tense and lax vowels before sonorants (Diffson) averaged across the two minimal pairs shown separately for younger and older Bavarian and Saxon speakers. Each of the four boxes contains one data point per speaker.

Figure 8

Table 4 Vowel and closure durations (rounded to nearest ms) as well as the Vdur/(Vdur+Closdur) ratios for each of the eight stimuli of the Hagen–hacken continuum.

Figure 9

Figure 6 Proportional hacken-responses averaged across listeners separately for older and younger, Bavarians and Saxons responding to the eight-step continuum. The decision boundaries averaged across listeners per listener group are shown as vertical lines.

Figure 10

Figure 7 Distribution of the 50% decision boundaries separately for older (white) and younger (gray), Bavarian (left) and Saxon (right) listeners. Each of the four distributions consists of one decision boundary per speaker.

Figure 11

Figure A1 Psychometric curves of the proportional hacken-responses shown separately for each listener (B = Bavarian, S = Saxon, a = older, j = younger) together with the raw values shown as data points.