Abstract
The paper deals with the formants of three short vowels in the Modern Standard Arabic (MSA) language produced by 29 native and non-natives speakers. The studied vowels are /a/, /u/ and /i/. F1, F2 and F3 formants were computed from 145 sentences produced by both groups of speakers. Two experiments were conducted. The first investigation compared formants values of natives speakers with those of non-native speakers. When comparing the MSA L1 vowels against their MSA L2 counterparts, results showed a variation in vowel quality especially for the vowel /a/. A comparative analysis of formants values was also carried out with results of some eight Arabic dialect studies. The outcomes depicted variation especially in the pronunciation of the vowel /u/.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
MacDonald, M.: The influence of Spanish phonology on the English spoken by United States Hispanics. In Bjarkman, P., Hammond, R. (eds.) American Spanish pronunciation: Theoretical and applied perspectives, Washington, D.C.: Georgetown University Press, pp. 215–236, ISBN 9780878404933. (1989)
Nicolao, M., Beeston, A.V., Hain, T.: Automatic assessment of English learner pronunciation using discriminative classifiers. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, QLD, (2015). pp. 5351–5355, doi: https://doi.org/10.1109/ICASSP.2015.7178993.
Marzieh Razavi, M., Magimai Doss M.: On recognition of non-native speech using probabilistic lexical model INTERSPEECH 201. In: 15th Annual Conference of the International Speech Communication Association, 14–18 September, Singapore (2014)
Alotaibi, Y.A., Hussain, A.: Speech recognition system and formant based analysis of spoken Arabic Vowels. In: Lee, Y.-H., Kim, T.-H., Fang, W.-C., Ślęzak, D. (eds.) FGIT 2009. LNCS, vol. 5899, pp. 50–60. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-10509-8_7
Droua-Hamdani, G., Selouani, S.A., Boudraa, M.: Speaker-independent ASR for modern standard Arabic: effect of regional accents. Int. J. Speech Technol. 15(4), 487–493 (2012)
Droua-Hamdani, G., Sellouani, S.A., Boudraa, M.: Effect of characteristics of speakers on MSA ASR performance. In: IEEE Proceedings of the First International Conference on Communications, Signal Processing, and their Applications (ICCSPA 2013), pp. 1–5. (2013).
Droua-Hamdani, G.: Classification of regional accent using speech rhythm metrics. In: Salah, A., Karpov, A., Potapova, R. (eds) Speech and Computer. SPECOM 2019. Lecture Notes in Computer Science, vol 11658, pp. 75–81. Springer, Cham (2019)
Droua-Hamdani, G.: Formant frequency analysis of msa vowels in six algerian regions. In: Karpov, A., Potapova, R. (eds.) SPECOM 2020. LNCS (LNAI), vol. 12335, pp. 128–135. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-60276-5_13
Farchi, M., Tahiry, K., Soufyane, M., Badia, M., Mouhsen, A.: Energy distribution in formant bands for Arabic vowels. Int. J. Elect. Comput. Eng. 9(2), 1163–1167 (2019)
Mannepalli, K., Sastry, P.N., Suman, M.: analysis of emotion recognition system for Telugu using prosodic and formant features. In: Agrawal, S.S., Dev, A., Wason, R., Bansal, P. (eds.) Speech and Language Processing for Human-Machine Communications. AISC, vol. 664, pp. 137–144. Springer, Singapore (2018). https://doi.org/10.1007/978-981-10-6626-9_15
Korkmaz, Y., Boyacı, A.: Classification of Turkish Vowels Based on Formant Frequencies. In: International Conference on Artificial Intelligence and Data Processing (IDAP), pp. 1–4, Malatya (2018). https://doi.org/10.1109/IDAP.2018.8620877
Natour, Y.S., Marie, B.S., Saleem, M.A., Tadros, Y.K.: Formant frequency characteristics in normal Arabic-speaking Jordanians. J. Voice 25(2), e75–e84 (2011)
Abd Almisreb, A., Tahir, N., Abidin, A.F., Md Din, N.: Acoustical Comparison between /u/ and /u:/ Arabic Vowels for Non-Native Speakers. Indonesian J. Elect. Eng. Comput. Sci. 11(1), 1–8 (2018). https://doi.org/10.11591/ijeecs.v11.i1.
Rusza, J., Cmejla, R.: Quantitative acoustic measurements for characterization of speech and voice disorders in early-untreated Parkinson’s disease. J. Acoust. Soc. Am. 129, 350 (2011). https://doi.org/10.1121/1.3514381
Abou Haidar, L.: Variabilité et invariance du système vocalique de l’arabe standard, Unpubl. PhD thesis, Université de Franche-Comté. (1991).
Alghamdi, M.: A spectrographic analysis of Arabic vowels: a cross-dialect study. J. King Saud Univ. 10(1), 3–24 (1998)
Newman, D.L., Verhoeven, J.: Frequency Analysis of Arabic Vowels in Connected Speech Antwerp papers in linguistics, Vol. 100, pp. 77–87 (2002)
Linguistic Data Consortium LDC. http://www.ldc.upenn.edu.
Boersma, P., Weenink, D.: Praat: doing phonetics by computer. http://www.praat.org. Accessed Mar 2010
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Droua-Hamdani, G. (2021). Comparison Study of Short Vowels’ Formant: MSA, Arabic Dialects and Non-native Arabic. In: Faye, Y., Gueye, A., Gueye, B., Diongue, D., Nguer, E.H.M., Ba, M. (eds) Research in Computer Science and Its Applications. CNRIA 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 400. Springer, Cham. https://doi.org/10.1007/978-3-030-90556-9_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-90556-9_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-90555-2
Online ISBN: 978-3-030-90556-9
eBook Packages: Computer ScienceComputer Science (R0)