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Investigating lenition patterns in south-central Peninsular Spanish /spstsk/ clusters

Published online by Cambridge University Press:  21 April 2016

Nicholas Henriksen
Affiliation:
University of Michigan nhenriks@umich.edu
Sarah K. Harper
Affiliation:
University of Southern California skharper@usc.edu
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Abstract

In this study we report on an instrumental analysis of /spstsk/ clusters in south-central Peninsular Spanish, documenting a three-way system of /s/ realization: speakers tend to produce alveolar fricatives in /st/ clusters, velar fricatives in /sk/ clusters, and glottal fricatives or deletions in /sp/ clusters. An analysis based on the discrete classification of /s/ variants shows that a combination of linguistic factors (following consonant and stress) influences /s/ realization. An analysis based on the phonetic coding of /s/ variants (using measures of fricative duration, relative voicing, and center of gravity) reveals the extent to which velar fricatives display an intermediate status along the phonetic continuum of /s/ lenition variations. Taken together, these analyses shed light on the nature of coda /s/ in Spanish and on the extent to which the attested allophony constitutes a lenition process.

Information

Type
Research Article
Copyright
Copyright © International Phonetic Association 2016 
Figure 0

Figure 1 Waveform and spectrogram for [es.ꞌta] está ‘he is’. Coda /s/ produced as alveolar fricative [s].

Figure 1

Figure 2 Waveform and spectrogram for [ꞌox.ke] of bosque ‘forest’. Coda /s/ produced as velar fricative [x].

Figure 2

Figure 3 Waveform and spectrogram for [eh.ꞌpi] of despide ‘he says good-bye’. Coda /s/ produced as glottal fricative [h].

Figure 3

Figure 4 Waveform and spectrogram for [u.ꞌka] of buscando ‘looking for’. Complete deletion in coda /s/.

Figure 4

Table 1 Occurrences of /s/ variants across all speakers.

Figure 5

Figure 5 Distribution of coda /s/ variants based on following consonant.

Figure 6

Table 2 Adjusted odds ratios (AORs) for all predictors in binomial logistic regression analysis for /spst/ clusters, modeling the probability of [h]/Ø vs. [s]. REF refers to the reference category selected for comparisons within each predictor. Statistically significant effects are highlighted in bold.

Figure 7

Table 3 Adjusted odds ratios (AORs) for all predictors in multinomial logistic regression analysis for /sk/ clusters, modeling the probability of [h]/Ø vs. [s] and of [x] vs. [s]. REF refers to the reference category selected for comparisons within each predictor. Statistically significant effects are highlighted in bold.

Figure 8

Figure 6 Distribution of coda /s/ variants based on stress for /sp/ clusters.

Figure 9

Figure 7 Distribution of coda /s/ variants based on stress for /st/ clusters.

Figure 10

Figure 8 Distribution of coda /s/ variants based on stress for /sk/ clusters.

Figure 11

Figure 9 Mean fricative duration (ms) based on coda /s/ variant.

Figure 12

Figure 10 Mean percentage voicing based on coda /s/ variant.

Figure 13

Figure 11 Mean center of gravity (Hz) based on coda /s/ variant.

Figure 14

Figure 12 Mean fricative duration (ms) based on cluster and coda /s/ variant.

Figure 15

Figure 13 Mean stop closure duration (ms) based on cluster and coda /s/ variant.

Figure 16

Figure 14 Mean VOT (ms) based on cluster and coda /s/ variant.