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Speech cycling experiment on Finnish rhythm

Published online by Cambridge University Press:  24 October 2024

Joonas Vakkilainen*
Affiliation:
Faculty of Information Technology and Communication, Tampere University, Finland

Abstract

Rhythm typology seeks to classify languages according to the units on which they base their rhythm. The most used categories are stress-timing, syllable-timing, and mora-timing. Traditional rhythm typology has been questioned by instrumental research, because the claimed isochronous units have not been found. Speech cycling is a method that endeavours to find regular rhythmic units by utilising repeated speech that the speaker produces by accommodating to regularly paced stimuli. This is intended to eliminate the irregularities that would otherwise hide the linguistic rhythm. The present study is a speech cycling experiment on Finnish. The subjects read sentences that were varied in the mora and syllable count. The locations of the stressed syllables were analysed on a relative scale to see if they appear at regular phases. The results show that in Finnish the mora, the syllable, and the quantity pattern all affect the phases.

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, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of The Nordic Association of Linguists
Figure 0

Table 1. Number of units contained in the phrases

Figure 1

Figure 1. Example showing measurement points of the phases for one cycle.

Figure 2

Figure 2. Bar plots for beat 2 and beat 3 in pure stress-timing.

Figure 3

Figure 3. Bar plots for beat 2 and beat 3 in pure syllable-timing.

Figure 4

Figure 4. Bar plots for beat 2 and beat 3 in pure mora-timing.

Figure 5

Figure 5. Theoretical Tajima-type scatterplot for different types of timing. Stress-timing predicts a location near A for all test phrases; syllable-timing predicts phrase 5 papapa should be located near B, and a location near A for all other test phrases; for mora-timing test phrase 1 papa should be located near A, phrase 4 paappa near C, and all other phrases near B.

Figure 6

Table 2. Average duration and proportion of the cycle for each test word

Figure 7

Figure 6. Estimated (posterior) average test word proportion (subject effects removed).

Figure 8

Figure 7. Bar plots for beat 2 and beat 3, averaged over all subjects, shown as thick bars. Individual subject averages in grey.

Figure 9

Figure 8. Tajima-type scatterplot, averaged over all subjects (test phrases $$1 = papa$$, $$2 = paapa$$, $$3 = pappa$$, $$4 = paappa$$, $$5 = papapa$$).

Figure 10

Figure 9. Estimated (posterior) average beat 2 external phase (subject effects removed).

Figure 11

Figure 10. Estimated (posterior) average beat 3 external phase (subject effects removed).

Figure 12

Figure 11. Estimated (posterior) average beat 2 internal phase (subject effects removed).

Figure 13

Table 3. Average external phases of beat 2 and beat 3 for each subject (%)

Figure 14

Figure 12. Bar plots for individual subjects (test phrases $$1 = papa$$, $$2 = paapa$$, $$3 = pappa$$, $$4 = paappa$$, $$5 = papapa$$). Average timing is shown as thick bars and individual repetitions in grey.

Figure 15

Figure 13. Tajima-type scatterplots for individual subjects (test phrases $$1 = papa$$, $$2 = paapa$$, $$3 = pappa$$, $$4 = paappa$$, $$5 = papapa$$).

Figure 16

Table 4. Posterior probability for individual speakers that the average beat 2 internal phase is later than the average beat 2 internal phase for papapa

Figure 17

Table 5. Posterior probability for individual speakers that the average beat 2 internal phase is earlier than the average beat 2 internal phase for papa