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home / papers / 2016 / L'impact des variations temporelles intrinsèques et extrinsèques de la voyelle sur la relation consonne-voyelle : Étude translinguistique sur l'arabe jordanien et le français (The impact of extrinsic and intrisic vowel temporal variations on the consonant-vowel relationship : A trans-linguistic investigation on Jordanian Arabic and French)

L'impact des variations temporelles intrinsèques et extrinsèques de la voyelle sur la relation consonne-voyelle : Étude translinguistique sur l'arabe jordanien et le français (The impact of extrinsic and intrisic vowel temporal variations on the consonant-vowel relationship : A trans-linguistic investigation on Jordanian Arabic and French)

Paper · 2016 · Mohammad Abuoudeh and Olivier Crouzet

Summary

The paper asks whether two different sources of vowel duration change affect stop–vowel acoustics in the same way. The first is intrinsic: the phonological short/long vowel contrast in Jordanian Arabic. The second is extrinsic: speaking-rate changes in French. In the Arabic experiment, seven male speakers read CVC words with a target stop (/b,d,g,t,k/) and short or long /i,a,u/, placed in a carrier sentence. Items appeared in random order and each was repeated ten times. A parallel French experiment varied speaking rate across fast, medium and slow conditions. For each token the authors measured vowel duration and the first three formants at vowel onset and midpoint. They then fitted locus equations, which regress F2 at onset on F2 at midpoint, to quantify consonant–vowel coarticulation. In both languages, shorter vowels pushed formants toward a central frequency region and produced steeper locus-equation slopes with lower intercepts, meaning stronger CV overlap. The vowel was affected more than the consonant, and the effect was clearer for Arabic length than for French rate. The work suggests that length contrast and speaking rate converge on a shared duration-driven mechanism of coarticulation.

Key points

  • Arabic data: 7 Jordanian men aged 27–35 from Ma'an, Amman and Jerash; 80 real CVC words; 5 stops × 2 positions × 6 vowels × 10 repetitions, giving 600 tokens per speaker.
  • Vowel durations: Long vowels were roughly 135–162 ms and short ones roughly 77–90 ms, a significant difference (F(1,4) = 57.92, p < 0.01).
  • Processing pipeline:
    • Praat with manual segmentation.
    • Burg LPC formant tracking with a 25 ms window and a 6.25 ms step.
    • Smoothing with a two-point moving average.
    • Analysis in R.
    • Stimuli presented by a Python/Pygame script with pyfribidi for right-to-left text.
  • Outlier handling: Regression points were dropped when their residual exceeded the mean absolute residual plus 1.5 standard deviations, and the regressions were then refitted. About 7% of the data was excluded.
  • Locus-equation results: Short vowels and faster speech gave higher slopes and lower intercepts. Alveolars /d,t/ were the most resistant to vowel context, velars split into front-vowel and back-vowel clusters, and bilabials showed the weakest consonant influence on the vowel.

Interesting ideas

  • I1. Separating intrinsic from extrinsic causes: The paper keeps duration that is built into the unit (phonological length) apart from duration imposed by context (speech rate), then checks whether both shift the outcome the same way. This is a clean way to tell lexical properties apart from situational ones.
  • I2. A relational invariant instead of absolute values: A locus equation describes a stop by the linear relation between two measurements rather than by a single fixed value. This stays stable across vowel contexts where raw cues drift.
  • I3. One interpretable number for coupling strength: The regression slope summarises how strongly one unit depends on its neighbour, from 0 (independent) to 1 (fully shaped by the neighbour).
  • I4. Residual-based outlier pruning with a refit: The authors fit once, remove points whose residuals pass a mean-plus-1.5-SD threshold, and fit again, so a few extreme tokens do not distort the summary slopes.
  • I5. Controlled carrier frames with randomised order: Each target word sits in a fixed carrier sentence and is shown in random order with repetitions, which isolates the variable under study from context and ordering effects.

For Mova

How these ideas could serve Mova, our small open language model — its files, stages and tests:

  • I1 (tokens): The tagger and morphology could record whether a feature, such as tense or number, comes from the lexeme itself or from the surrounding construction. Error analysis could then tell whether failures are lexical or contextual.
  • I2 (world): Measures and values in the knowledge layer could be stored as relations between quantities, such as rate = amount/time, rather than as fixed numbers, so they hold up when the context changes.
  • I3 (tree): The same kind of slope could measure how much a token's parser decision depends on its head's features, as an explainable diagnostic of contextual coupling.
  • I4 (learn): Silver data from witness parsers could be filtered the same way. Training a first pass, removing examples with abnormal loss, and retraining would stop a few noisy agreements from dominating.
  • I5 (answer): Test suites for readers could put target constructions into fixed carrier sentences, shuffled and repeated, so accuracy differences can be traced to the construction rather than to the surrounding text.

Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.

Cite

Cite as Mohammad Abuoudeh and Olivier Crouzet. 2016. L'impact des variations temporelles intrinsèques et extrinsèques de la voyelle sur la relation consonne-voyelle : Étude translinguistique sur l'arabe jordanien et le français (The impact of extrinsic and intrisic vowel temporal variations on the consonant-vowel relationship : A trans-linguistic investigation on Jordanian Arabic and French). Actes de la conférence conjointe JEP-TALN-RECITAL 2016. volume 1 : JEP.

The paper itself, not this page. BibTeX from the library's record of the work.

@inproceedings{abuoudeh2016l,
  title = {{L'impact des variations temporelles intrinsèques et extrinsèques de la voyelle sur la relation consonne-voyelle : Étude translinguistique sur l'arabe jordanien et le français (The impact of extrinsic and intrisic vowel temporal variations on the consonant-vowel relationship : A trans-linguistic investigation on Jordanian Arabic and French)}},
  author = {Mohammad Abuoudeh and Olivier Crouzet},
  booktitle = {Actes de la conférence conjointe JEP-TALN-RECITAL 2016. volume 1 : JEP},
  year = {2016},
  url = {https://aclanthology.org/2016.jeptalnrecital-jep.42/}
}

References

20 references, 0 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

  1. B ERRY J. & W EISMER G. (2013). Speaking rate effects on locus equation slope. Journal of Phonetics, 41, 468–478. find
  2. B OERSMA P. & W EENING D. (2012). Praat : Doing phonetics by computer. Computer program. find
  3. D ELATTRE P., L IBERMAN A. & C OOPER F. (1955). Acoustical loci and transitional cues for consonants. The Journal of the Acoustic Society of America, 27(4), 769–773. find
  4. D UEZ D. (1992). Second formant locus-nucleus patterns : An investigation of spontaneous french speech. Speech Communication, 11(4-5), 471–427. find
  5. F OWLER C. (1994). Invariants, specifiers, cues : An investigation of locus equations as information for place of articulation. Perception and Psychophysics, 55, 597–610. find
  6. G AY T. (1978). Effect of speaking rate on vowel formant movements. Journal of the Acoustical Society of America, 63, 223–30. find
  7. H ADDING -K OCH K. & A BRAMSON A. S. (1964). Duration versus spectrum in swedish vowels : Some perceptual experiments. Studia Linguistica, 18(2), 94–107. find
  8. H ARRINGTON J. (2010). Acoustic Phonetics, In The Handbook of Phonetic Sciences, p. 81–129. Blackwell Publishing Ltd. find
  9. K EWLEY -P ORT D. (1982). Measurement of formant transitions in naturally produced stop consonant-vowel syllables. Journal of the Acoustical Society of America, 72(2), 379–389. find
  10. K RULL D. (1989). Second formant locus patterns and consonant-vowel coarticulation in spontaneous speech. Phonetic experimental research at the institute of linguistics university of Stockholm-PERILUS, 10, 87–108. find
  11. K WELEY -P ORT D. (1982). Measurement of formant transitions in naturally produced stop consonant-vowel syllables. Journal of the Acoustical Society of America. find
  12. L INDBLÖM B. (1963). Spectrographic study of vowel reduction. Journal of the Acoustical Society of America, 35(11), 1773–1781. find
  13. L INDBLÖM B. & S USSMAN H. M. (2012). Dissecting coarticulation : How locus equations happen. Journal of Phonetics, 40(1), 1–19. find
  14. Ö HMAN S. (1966). Coarticulation in VCV utterances : Spectrographic measurements. The Journal of the Acoustical Society of America, 39(1), 151–168. find
  15. O’S HAUGHNESSY D. (1986). The effects of speaking rate on formant transitions in French synthesis-by-rule. In Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP ’86., volume 11, p. 2027–2030. find
  16. R C ORE T EAM (2012). R : A Language and Environment for Statistical Computing. Vienna, Austria : R Foundation for Statistical Computing. ISBN 3-900051-07-0. find
  17. S USSMAN H. M., F RUCHTER D., H ILBERT J. & S IROSH J. (1998). Linear correlates in the speech signal : The orderly output constraint. Behavioral and Brain Siences, 21, 241–299. find
  18. S USSMAN H. M., M C C AFFREY H. A. & M ATTHEWS S. A. (1991). An investigation of locus equations as a source of relational invariance for stop consonant place categorization. Journal of the Acoustical Society of America, 90, 1309–1325. find
  19. S USSMAN H. M. & S HORE J. (1996). Locus equation as phonetic descriptors of consonantal place of articulation. Psychonomic Society, Inc., 58(6), 936–946. find
  20. T SUKADA K. (2009). An acoustic comparison of vowel length contrasts in Arabic, Japanese and Thaï : Durational and spectral. International Journal on Asian Language Processing, 19(4), 127–138. find

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