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Voiceless nasals in the Ikema dialect of Miyako Ryukyuan

Published online by Cambridge University Press:  20 January 2022

Catherine Ford
Affiliation:
University of Alberta, cford1@ualberta.ca
Benjamin V. Tucker
Affiliation:
University of Alberta, benjamin.tucker@ualberta.ca
Tsuyoshi Ono
Affiliation:
University of Alberta, tono@ualberta.ca
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Abstract

Voiceless nasal consonants are typologically rare in the world’s languages. The present study investigates the acoustic realization of reported voiceless nasals in the Miyako Ryukyuan dialect Ikema. Voiceless nasals in Ikema occur word-initially and word-medially as part of a geminate or consonant cluster, and are phonemically distinct from modal voiced nasals. Initial observation of collected recordings revealed many instances of the voiceless phoneme with voicing throughout, leading to a re-evaluation of previous claims about its phonetic implementation. We hypothesized that word-medial and phrase-medial voiceless nasals surface as breathy voiced nasals. We analyzed the acoustic characteristics of nasal components of target words, focusing on duration, phonation state, and cepstral peak prominence (CPP), to determine whether reported voiceless nasal phonetic components with voicing are acoustically distinct from modal voiced nasal consonants. We find that voiceless nasals are produced with a voiceless component followed by a modal voiced component. Voiceless components and breathy components are found to be significantly shorter than modal components. We also find a significant difference between modal nasal, breathy nasal and voiceless nasal components’ CPP values. The results confirm the observation that Ikema voiceless nasals are phonemically distinct from modal nasal consonants, and likely allophonically vary with breathy voiced nasals word-medially and phrase-medially. These findings align with the hypothesis that voiceless nasals require some voicing to be audible for perception, and are consistent with cross-linguistic findings, contributing to the typological understanding of the acoustics of voiceless nasals.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the International Phonetic Association
Figure 0

Figure 1 Map of Japan and the Ryukyu Archipelago, situated south of Kyushu, Japan; enlargement of Ikema, Irabu and Miyako islands. Created with maps package (Becker & Wilks 2018) in R (R Core Team 2016).

Figure 1

Figure 2 Spectrograms from a single speaker of /m̥mu/ (A) produced in isolation and /m̥mi/ (B) produced phrase-medially, both meaning ‘to wear (shoes)’, /m̥mi/ as the command form of /m̥mu/. Spectrograms (C) and (D) are of /mːiui/ ‘ripen’ in continuative form produced in isolation (C) and phrase-medially (D).

Figure 2

Figure 3 Spectrograms of /sː⅐m̥miui/ ‘to fall asleep (limb)’ (A) in continuative form, and /muzɨn̥n/ ‘step on (wheat)’ (B), both produced in isolation.

Figure 3

Table 1 Subset of voiceless nasal productions, categorized based on phrase position and observed phonation state in spectrograms.

Figure 4

Figure 4 Raincloud plot of duration of voiceless segments /m̥ n̥/, breathy segments /m̤ n̤/, modal segments /m n/, ‘voiceless geminates’ which are the voiceless/breathy segments followed by a modal segment /m̥m n̥n m̤m n̤n/, and modal geminates /mː nː/.

Figure 5

Table 2 Estimated coefficients, their standard errors, and t-statistics according to linear mixed-models fitted to Duration, with Phonation State as main predictor and Mora as a controlled fixed effect. An asterisk indicates a significant comparison.

Figure 6

Figure 5 Raincloud plot of CPP data for voiceless nasal segments, breathy nasal segments, and modal nasals.

Figure 7

Table 3 Estimated coefficients, their standard errors and associated t-statistics according to linear mixed-models fitted to CPP, with Phonation State as main predictor. An asterisk indicates a significant comparison.

Figure 8

Table 4 Realizations of voiceless nasals cross-linguistically.