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Institute of Philology of
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DOI: 10.25205/2312-6337 Roskomnadzor certificate number Эл № ФС 77-84783
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Yazyki i Fol’klor Korennykh Narodov Sibiri (Languages and Folklore of Indigenous Peoples of Siberia) | |
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ArticleName: Nasalized vowels in the Altai language based on nasography and spectrography Authors: T. V. Timkin Institute of Philology SB RAS, Novosibirsk, Russian Federation In the section Фонетика
Abstract: The paper presents the examination of the vowel nasalization in the Altai language. The study involved an experiment on nasography. A native speaker of the Altai language recited a program comprising 180 lexemes in an isolated context, repeating it three times. The speech was captured by the icSpeech dual-microphone system that allows sound from the mouth and nose to be recorded separately. The recordings were annotated using the Praat software and then analyzed with the Emu-SDMS corpus system using the R programming language. The nasality coefficient was calculated by comparing sound levels across channels. Vowels before nasal consonants exhibited a slow increase in nasality coefficient, gradually transitioning from a low to a medium level during vowel lengthening. Vowels following nasal consonants exhibited pronounced nasalization, with a heightened nasality level at the vowel onset and a consistent mid-level nasality throughout its duration. Vowels between two nasal consonants had a combination of these two types: high nasality level in the beginning, then nasality fall followed by slow growth. The average nasality coefficients for pure vowels were 6030 units, for prenasal vowels were 9860 units, for postnasal vowels were 16990 units, and for internasal vowels were 18290 units. Next, the spectra of nasalized and non-nasalized vowels were compared. The formant frequencies and levels were measured using the Praat software. The data shows a significant decrease in F1 level for nasalized vowels as opposed to non-nasalized vowels. The phenomenon can be attributed to the initial nasal antiresonance, correlating with acoustical models and typological data. Keywords: Altai language, nasalized vowels, nasography, nasometry, experimental phonetics Bibliography: Boersma P., Weenink D. Praat: doing phonetics by computer. Computer program. Version 6.1.17. http://www.praat.org/ (accessed 15.06.23) Fant G. Akusticheskaya teoriya recheobrazovaniya [Acoustic theory of speech production]. Moscow, 1964, 284 p. (In Russ.) Hayward K. Experimental phonetics. London, New York, Routledge, 596 p. Kechil-ool S. V. Foneticheskie osobennosti vokalizma v govore zhiteley s. Kungurtug Respubliki Tyva [The phonetic peculiarities of vocalism in the dialect of the residents of Kungurtug sumon of the Tyva republic]. Philological Sciences. Issues of Theory and Practice. 2015, no. 11(53), pt. 2, pp. 76–79. (In Russ.) Kurbanova K. I. Nosovye glasnye v val’dostanskom variante frantsuzskogo yazyka [Nasal vowels in Aostan French]. Moscow University Bulletin. Series 19. Linguistics and Intercultural Communication. 2018, no, 1, pp. 135–146. (In Russ.) Lingvisticheskiy entsiklopedicheskiy slovar’[Linguistic encyclopedic dictionary]. V. N. Yartseva (Ed.). Moscow, Sov. entsikl., 1990, 688 p. (In Russ.) Portable nasometry unit. https://icspeech.com/nasometry.html (accessed 09.07.24) Ryzhikova T. R. Artikulyatornye osobennosti barabinsko-tatarskoy fonemy o /ʊ̇/ (po dannym MRT) [Articulatory peculiarities of the Baraba-Tatar phoneme о /ʊ̇/ (on MRI data)]. Sibirskii Filologicheskii Zhurnal (Siberian Journal of Philology). 2021, no. 1, pp. 191–208. (In Russ.) Shaldanova A. A. Vokalizm dialekta altay-kizhi v sopostavitel’nom aspekte [Altai-Kizhy vocalism in comparative aspect]. Novosibirsk, Sova, 2007, 280 p. (In Russ.) Styler W. On the Acoustical and Perceptual Features of Vowel Nasality. University of Colorado, 2015, 189 p. Urtegeshev N. S. O-obraznye glasnye vostochnogo dialekta bashkirskogo yazyka: po dannym MRT [The “O”-type vowels of the eastern dialect of the Bashkir language: the MRI data]. Sayan-Altai scientific review. 2020, no. 3 (27), pp. 47–51. (In Russ.) Winkelmann R., Harrington J., Jänsch K. EMU-SDMS: Advanced speech database management and analysis in R. Computer Speech & Language. 2017, vol. 45, pp. 392–410. |
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