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An acoustical analysis of the merger of /ɲ/ and /nj/ in Buenos Aires Spanish

Published online by Cambridge University Press:  01 August 2021

Silvina Bongiovanni*
Affiliation:
Michigan State University bongiov8@msu.edu
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Abstract

Buenos Aires Spanish (BAS) is well known for the sound change that led the palatal obstruent to become a post-alveolar fricative. However, that obstruent is not the only palatal phoneme undergoing sound change in BAS. The present study investigates the production of /ɲ/ and /nj/ in BAS, which have been reported as merging (Malmberg 1950). Previous research suggests that some speakers produce a ‘traditional’ (alveolo)palatal nasal, while other speakers realize /ɲ/ with two distinct non-simultaneous constrictions: alveolar/postalveolar and palatal (Kochetov & Colantoni 2011). An acoustic analysis is based on the speech of 33 speakers (15 males, 17 females; from four age groups: 15–19 years old, 20–29 years, 30–45 years and 45+ years) and was obtained by measuring duration and formant contours in the tautosyllabic vocalic portion. Results reveal that /ɲ/ and /nj/ are not fully merged, as some speakers produce differences. Specifically, the results indicate that production differences between men and women disappear as age decreases, with female speakers being more innovative. Findings provide evidence that the sound change is still progressing and probably nearing completion, and show that the palatal system in BAS is losing the (alveolo)palatal nasal.

Information

Type
Research Article
Copyright
© International Phonetic Association 2019
Figure 0

Table 1 Demographic information of participants.

Figure 1

Figure 1 Waveform and spectrogram of the word maña ‘trick’ /maɲa/produced by a Peninsular Spanish speaker during piloting (Bongiovanni 2015b).

Figure 2

Figure 2 Waveform and spectrogram of the word Tania (personal name) /tanja/produced by speaker F12 (female, 15–19 age group).

Figure 3

Figure 3 Duration of the vocalic portion in milliseconds per target syllable. Diamonds represent mean values. The values in the table are raw averages and standard deviations (sd) that have not been adjusted by the statistical model. For interpretation of the references to color in figure legends, the reader is referred to the web version of this article.

Figure 4

Table 2 RM ANOVA results with target syllable and task condition as within-subject variables, and gender and age group as between-subject variables, and duration of the vocalic portion as dependent variable. Only statistically significant interactions are included.

Figure 5

Figure 4 Duration of the vocalic portion in milliseconds broken by target syllable and task for the 15–19 and 45+ age groups. Diamonds represent mean values.

Figure 6

Figure 5 Smoothing Spline ANOVA of formant trajectories in the vocalic portion for all BAS speakers.

Figure 7

Figure 6 Smoothing Spline ANOVA of formant trajectories in the vocalic portion by age group.

Figure 8

Figure 7 Smoothing Spline ANOVA of female and male speakers’ formant trajectories in the vocalic portion in the 20–29 and 45+ age groups.

Figure 9

Figure 8 Smoothing Spline ANOVA of formant trajectories in the vocalic portion for females in the 20–29 age group and males in the 45+ age group (rows), by task (columns).

Figure 10

Figure 9 F1min and F2max formant readings (in Bark) and temporal lags (in milliseconds). The values in the table are raw averages and standard deviations (sd) that have not been adjusted by the statistical model.

Figure 11

Figure 10 Screen captures from TV show Todo por dos pesos highlighting possible realizations of the word mañana ‘morning’.

Figure 12

Figure A1 Duration of the vocalic portion by lexical status of the target word (nonce vs. real). Diamonds represent the mean.

Figure 13

Figure A2 Smoothing Spline ANOVA of formant trajectories in the vocalic portion by lexical status of the target word (real vs. nonce words).

Figure 14

Table A1 Experimental items.

Figure 15

Table A2 RM ANOVA results with target syllable and task condition as within-subject variables, and gender and age group as between-subject variables, and F1min as dependent variable.

Figure 16

Table A3 RM ANOVA results with target syllable and task condition as within-subject variables, and gender and age group as between-subject variables, and F2max as dependent variable.

Figure 17

Table A4 RM ANOVA results with target syllable and task condition as within-subject variables, and gender and age group as between-subject variables, and temporal lag to F1min as dependent variable.

Figure 18

Table A5 RM ANOVA results with target syllable and task condition as within-subject variables, and gender and age group as between-subject variables, and temporal lag to F2max as dependent variable.