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Phonetic evidence on phonology–morphosyntax interactions: Sibilant voicing in Quito Spanish1

Published online by Cambridge University Press:  10 July 2013

PATRYCJA STRYCHARCZUK*
Affiliation:
University of Manchester
MARIJN VAN 'T VEER*
Affiliation:
Leiden University
MARTINE BRUIL*
Affiliation:
Leiden University
KATHRIN LINKE*
Affiliation:
Leiden University & The Meertens Institute, Amsterdam
*
Authors’ addresses: (Strycharczuk) School of Languages, Linguistics and Culture, The University of Manchester, Oxford Road, Manchester M13 9PL, UKpstrycharczuk@gmail.com
(Van 't Veer)Leiden University Centre for Linguistics, Leiden University, Postbus 9515, 2300 RA Leiden, The NetherlandsB.M.van.t.Veer@hum.leidenuniv.nl
(Bruil)Leiden University Centre for Linguistics, Leiden University, Postbus 9515, 2300 RA Leiden, The Netherlandsm.bruil@hum.leidenuniv.nl
(Linke)Leiden University Centre for Linguistics, Leiden University, Postbus 9515, 2300 RA Leiden, The Netherlands & The Meertens Institute, PO Box 94264, 1090 GG Amsterdam, The Netherlandskathrin.linke@meertens.knaw.nl
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Abstract

This paper presents new experimental data on Quito Spanish /s/-voicing, which has attracted considerable interest from theoretical phonologists owing to the overapplication of voicing to word-final pre-vocalic /s/. Bermúdez-Otero (2011) singles out Quito /s/-voicing as an important test case for discriminating between two competing theories of phonology–morphosyntax interactions: Output–output correspondence and cyclicity. Overapplication in /s/-voicing cannot be captured using correspondence relationship to a base form, which challenges Output–output correspondence as a theory of opacity. However, the argument only holds insofar as word-final pre-vocalic /s/-voicing is considered phonological, as Output–output correspondence can account for /s/-voicing assuming that it only applies in the phonetics (Colina 2009). We discuss the diverging empirical predictions concerning categoricity and gradience in the surface realisation of voicing processes. We further test these predictions based on acoustic data from seven speakers of Quito Spanish. Evidence from speech rate manipulations shows that some speakers produce more voicing during frication at normal speech rate, compared to fast, maintaining a stable voicing ratio across different speech rates. We argue that for these speakers, /s/-voicing is optional but categorical, and so it ought to be analysed as phonological. This result presents a challenge to the Output–output correspondence approach, but can be accommodated within cyclicity.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2013 
Figure 0

Table 1 Hypothetical development of /s/-voicing as a sequence of transparent synchronic systems.

Figure 1

Table 2 Example test and baseline items. The baseline items are indicated by shading.

Figure 2

Figure 1 Left: Fully voiced /s/ in muchos hombres ‘many men’ pronounced by Speaker 1. Right: Partially voiced /s/ in cosmologo pronounced by Speaker 5.

Figure 3

Figure 2 Left: Fully voiced /s/ in presbítero ‘priest’ pronounced by Speaker 5. Right: Partially voiced /s/ in cactus grande ‘big cactus’ pronounced by Speaker 5.

Figure 4

Figure 3 Left: No voicing of /s/ in microscopio ‘miscroscope’ pronounced by Speaker 5. Right: Partially voiced /s/ in aviso ‘notice’ pronounced by Speaker 5.

Figure 5

Figure 4 Conditional inference tree for voicing duration (in ms) based on a model with three predictors: condition, speech rate and speaker sex.

Figure 6

Figure 5 Conditional inference tree for voicing ratio based on a model with three predictors: condition, speech rate and speaker sex.

Figure 7

Figure 6 Conditional inference tree for fricative duration (in ms) based on a model with three predictors: condition, speech rate and speaker sex.

Figure 8

Figure 7 Conditional inference tree for intensity difference (in dB) based on a model with three predictors: condition, speech rate and speaker sex.

Figure 9

Figure 8 Coefficients of rate effects by speaker in a model with voicing duration (in ms) as a response variable, rate, condition and sex as fixed effects, random intercepts for speaker and item, and a random slope for rate within speaker.

Figure 10

Table 3 Regression coefficients, with standard error, and t values for a model predicting the duration of voicing (in ms) in the /s/-voicing environments. The intercept corresponds to a word-final /s/ before a vowel (e.g. gas acre ‘acrid gas’) pronounced by a female speaker at a fast rate.

Figure 11

Figure 9 Coefficients of rate effects by speaker in a model with voicing ratio as a response variable, rate, condition and speaker sex as fixed effects, random intercepts for speaker and item, and a random slope for rate within speaker.

Figure 12

Table 4 Regression coefficients, with standard error, and t values for a model predicting the voicing ratio in the /s/-voicing environments. The intercept corresponds to a word-final /s/ before a vowel (e.g. gas acre ‘acrid gas’) pronounced by a female speaker at a fast rate.

Figure 13

Figure 10 Coefficients of rate effects by speaker in a model with square root of fricative duration (in ms) as a response variable, rate, condition and sex as fixed effects, random intercepts for speaker and item, and a random slope for rate within speaker.

Figure 14

Table 5 Regression coefficients, with standard error, and t values for a model predicting the square root of fricative duration (in ms) in the /s/-voicing environments. The intercept corresponds to a word-final /s/ before a vowel (e.g. gas acre ‘acrid gas’) pronounced by a female speaker at a fast rate.

Figure 15

Figure 11 Coefficients of rate effects by speaker in a model with intensity difference (in dB) raised to the power of 0.22 as a response variable, rate and condition as fixed effects, random intercepts for speaker and item, and a random slope for rate within speaker.

Figure 16

Table 6 Regression coefficients, with standard error, and t values for a model predicting intensity difference between mean low-frequency intensity and total mean intensity (in dB) in the /s/-voicing environments (absolute value raised to the power of 0.22). The intercept corresponds to a word-final /s/ before a vowel (e.g. gas acre ‘acrid gas’) pronounced by a female speaker at a fast rate.

Figure 17

Figure 12 Coefficients of rate effects by speaker in a model with the duration of the phrase otra vez “one more time” (in ms) as a response variable, rate and condition as fixed effects, random intercepts for speaker and item, and a random slope for rate within speaker.

Figure 18

Table 7 Regression coefficients, with standard error, and t values for a model predicting the duration of the phrase otra vez ‘one more time’ (in ms). The intercept corresponds to the fast rate.

Figure 19

Table 8 The life cycle of /s/-voicing.