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Style, prosodic variation, and the social meaning of intonation

Published online by Cambridge University Press:  05 July 2013

Nicholas Henriksen*
Affiliation:
University of Michigannhenriks@umich.edu
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Abstract

This paper reports on an acoustic analysis of the intonational patterns of declarative questions and wh-questions produced by a group of young adults residing in a rural town of south-central Spain. Question intonation has been reported as highly variable across and within Spanish dialects; recent sociophonetic research on multiple languages suggests that intonational variation may be accounted for by speaking condition (i.e. speech style) in addition to other linguistic and social factors. This study is an initial attempt to examine the potential interactions between speaking condition (read speech vs. task-based dialogue) and social characteristics (speaker sex) on intonational variation. First, it is shown that 12 of the 16 speakers undergo at least one style-shift between speaking conditions; these data are captured in variationist terms, providing empirical assessments about formal and vernacular variants for the two sentence types in question. Second, it is shown that speaker sex differences play a role in style-shifting, and this leads to the hypothesis that variation in declarative questions may have developed as a marker of local identity for Manchego men. All in all, this study offers empirical support that the findings on sociophonetic variation warrant consideration in current models of speech production.

Information

Type
Research Article
Copyright
Copyright © International Phonetic Association 2013 
Figure 0

Figure 1 Schematic of Spanish declarative statement (a) vs. declarative question (b) inonational contours compared.

Figure 1

Table 1 All lexical combinations, based on interstress interval (ISI) and distance to end of utterance (DTE). Bold indicates stressed syllables.

Figure 2

Figure 2 Waveform, spectrogram, and f0 for declarative question early rise contour for ¿Nomina mi monólogo? ‘Does s/he nominate my monologue?’. Stressed syllables are in capital letters. The first stressed syllable is the prenuclear syllable, and the second stressed syllable is the nuclear syllable. Note that interstress interval is 3 and distance to end of utterance is 2.

Figure 3

Figure 3 Waveform, spectrogram, and f0 for declarative question late rise contour for ¿Nomina mi monólogo? ‘Does s/he nominate my monologue?’.

Figure 4

Figure 4 Waveform, spectrogram, and f0 for wh-question early fall contour for ¿Quién nomina mi monólogo? ‘Who nominates my monologue?’.

Figure 5

Figure 5 Waveform, spectrogram, and f0 for wh-question late fall contour for ¿Quién nomina mi monólogo? ‘Who nominates my monologue?’.

Figure 6

Figure 6 Waveform, spectrogram, and f0 for wh-question final rise contour for ¿Quién nomina mi monólogo? ‘Who nominates my monologue?’.

Figure 7

Figure 7 Example of segmented pitch contour (early rise). Pitch values were extracted from the time of pA and pB.

Figure 8

Figure 8 Example of segmented pitch contour (late rise).

Figure 9

Figure 9 Example of segmented pitch contour (early fall).

Figure 10

Figure 10 Example of segmented pitch contour (late fall).

Figure 11

Figure 11 Example of segmented pitch contour (final rise).

Figure 12

Table 2 Summary of trajectory score possibilities and inferred descriptions.

Figure 13

Figure 12 Nuclear trajectory score distributions (ERB) for declarative questions in reading task.

Figure 14

Figure 13 Nuclear trajectory score distributions (ERB) for declarative questions in gap task.

Figure 15

Table 3 Original and adjusted counts, adjusted means, and significance test results based on speaking condition for declarative questions. Boldface p-values indicate speakers displaying significant trajectory differences between the speaking conditions.

Figure 16

Figure 14 Line graphs comparing mean trajectory scores (ERB) based on speaking condition. RT indicates reading task; GT indicates gap task.

Figure 17

Figure 15 Nuclear trajectory score distributions (ERB) for wh-questions in reading task.

Figure 18

Figure 16 Nuclear trajectory score distributions (ERB) for wh-questions in gap task.

Figure 19

Table 4 Original and adjusted counts, adjusted means, and significance test results based on speaking condition for wh-questions. Bold p-values indicate speakers displaying significant trajectory differences between the speaking conditions.

Figure 20

Figure 17 Line graphs comparing nuclear trajectory scores (ERB) based on speaking condition for wh-questions. RT indicates reading task; GT indicates gap task.

Figure 21

Figure 18 Modified schema of switch type (comparing read data to gap task data) for wh-question contours.

Figure 22

Table 5 Task-based comparison for declarative question and wh-question tonemes for all speakers.

Figure 23

Table 6 Spanish dialects based on the use of five toneme categories.

Figure 24

Figure A1 Declarative question gap task (1/2).

Figure 25

Figure A2 Declarative question gap task (2/2).

Figure 26

Figure B1 Wh-question gap task (1/2).

Figure 27

Figure B2 Wh-question gap task (2/2).

Figure 28

Figure C1 Rise-fall pattern in declarative questions for speaker 6M. Waveform, spectrogram, and f0 for declarative question rise-fall contour for ¿Emula a la mima? ‘Does s/he emulate the mime?’.