Abstract
In this paper we examined the human voice of 20 adults (20 smokers and 20 non-smokers) to determine the effects of cigarette smoking on formants frequency, pitch, shimmer and jitter based on 3 Amazigh language vowels (A, I, U). The statistical data parameters are collected from male Moroccan speakers aged between 26 and 50 years old. Our results show that, the pitch values of smokers are lower compared to those of non-smokers. Also, smokers’ formants frequency F1 and F2 are close to non-smokers ones for the three considered vowels .Whereas, F3 and F4 are lower in the case of smokers. Shimmer and Jitter analysis showed higher values for these parameters among smoker.



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Ataa Allah, F., & Boulaknadel, S. (2012). Natural language processing for Amazigh language: Challenges and future directions, In: Proceedings of the Workshop on Language Technology for Normalisation of Less-Resourced Languages (vol. 19, pp. 19–23).
Bashar, M. A., Ahmed, M. T., Syduzzaman, M., et al. (2014). Text-independent speaker identification system using average pitch and formant analysis. International Journal on Information Theory, 3(3), 23–30.
Bonzi, E., Grad, G., Maggi, A., et al. (2014). Study of the characteristic parameters of the normal voices of Argentinian speakers. Papers in Physics, 6, 060002.
Boukous, A. Phonologie de l’amazighe, Institut Royal Dela Culture Amazighe: Rabat, (2009).
Boukous, A. Société, langues et cultures au Maroc: Enjeuxsymboliques. Najah El Jadida: Casablanca.
Brockmann, M., Storck, C., Carding, P. N., et al. (2008). Voice loudness and gender effects on jitter and shimmer in healthy adults. Journal of Speech, Language, and Hearing Research, 51(5), 1152–1160.
Busby, P. A., & Plant, G. L. (1995). Formant frequency values of vowels produced by preadolescent boys and girls. The Journal of the Acoustical Society of America, 97(4), 2603–2606.
Chai, L., Sprecher, A. J., Zhang, Y., et al. (2011). Perturbation and nonlinear dynamic analysis of adult male smokers. Journal of Voice, 25(3), 342–347.
Dutta, R. (2015). Spectral and spectrographic analysis with reference to some languages of north east India. International Journal of Emerging Research in Management & Technology, 4, 109–114.
Fadel, C. B. X., Dassie-Leite, A. P., Santos, R. S., et al. (2015). Acoustic characteristics of the metallic voice quality. CoDAS (pp. 97–100). Sao Paulo: Sociedade Brasileira de Fonoaudiologia.
Farrús, M., Hernando, J., & Ejarque, P. (2007). Jitter and shimmer measurements for speaker recognition. 8th Annual conference of the international speech communication association (pp. 778–781) Antwerp: ISCA.
Gendrot, C., & Adda-Decker, M. (2005). Impact of duration on F1/F2 formant values of oral vowels: An automatic analysis of large broadcast news corpora in French and German. Variations, 2(22.5), 24.
Georgeton, L., Paillereau, N., Landron, S., et al. (2012). Analyse formantique des voyelles orales du français en contexte isolé: À la recherche d’une référence pour les apprenants de FLE. Conférence conjointe Jep-Taln-Recital (pp. 145–152).
Gerhard, D. (2003). Pitch extraction and fundamental frequency: History and current techniques. Technical Report. Regina: Department of Computer Science, University of Regina.
Gilbert, H. R., & Weismer, G. G. (1974). The effects of smoking on the speaking fundamental frequency of adult women. Journal of Psycholinguistic Research, 3(3), 225–231.
Gonzalez, J., & Carpi, A. (2004). Early effects of smoking on the voice: A multidimensional study. Medical Science Monitor, 10(12), CR649–CR656.
Guimarães, I., & Abberton, E. (2005). Health and voice quality in smokers: An exploratory investigation. Logopedics Phoniatrics Vocology, 30(3–4), 185–191.
Holmes, J. N., Holmes, W. J., & Garner, P. N. (1997). Using formant frequencies in speech recognition. Eurospeech, 97, 2083–2087.
Hunt, M. J. (1987). Delayed decisions in speech recognition: The case of formants. Pattern Recognition Letters, 6(2), 121–137.
Kreimana, J., & Gerrattb, B. R. (2005). Perception of ape-riodicity in pathological voice. Journal of Acoustical Society of America, 117(4), 2201–2211.
Kumbhakarn, M., Sathe-Pathak, B. (2015). Analysis of emotional state of a person and its effect on speech features using PRAAT software. 2015 IEEE International conference on computing communication control and automation (ICCUBEA) (pp. 763–767).
Low, L.-S., Maddage, N. C., Lech, M., et al. (2010).Influence of acoustic low-level descriptors in the detection of clinical depression in adolescents. 2010 IEEE International conference on acoustics speech and signal processing (ICASSP) (pp. 5154–5157).
Mohanty, S., Swain, B. K. (2010). Language identification using support vector machine. Proceedings of OCOCOSDA-2010, Nepal.
Moustaoui, M. (2003). The Amazigh language within Morocco’s language policy. Dossier 14, Madrid: University of Autnoma de Madrid.
Muhammad, G., Mesallam, T. A., Malki, K. H., et al. (2011). Formant analysis in dysphonic patients and automatic Arabic digit speech recognition. Biomedical Engineering Online, 10(1), 1.
Oguz, H., Demirci, M., Safak, M. A., et al. (2007). Effects of unilateral vocal cord paralysis on objective voice measures obtained by Praat. European Archives of Oto-Rhino-Laryngology, 264(3), 257–261.
Outahajala, M., Zenkouar, L., Rosso, P. (2011).Building an annotated corpus for Amazighe, Proceedings of 4th international conference on Amazigh and ICT, Rabat.
Phull, D. K., & Kumar, G. B. (2016). Vowel analysis for Indian English. Procedia Computer Science, 93, 533–538.
Retrieved January, 2016 from https://www-01.ibm.com/support/docview.wss?uid=swg24031110.
Satori, H., Zealouk, O., Satori, K., & Elhaoussi F. (2017). Voice comparison between smokers and non-smokers based on Amazigh digits using HMM speech recognition system. Journal of Speech Technologie, 20, 771–777.
Sorensen, D., & Horii, Y. (1982). Cigarette smoking and voice fundamental frequency. Journal of Communication Disorders, 15(2), 135–144.
Tanaka, Y., Igauea, H., Mizumachi, M., et al. (2015). Study of improvement of intelligibility for the elderly speech based on formant frequency shift. International Journal of Computer Consumer Control, 3(3), 57–64.
Teixeira, J. P., & Gonçalves, A. (2016). Algorithm for jitter and shimmer measurement in pathologic voices. Procedia Computer Science, 100, 271–279.
Vincent, I., & Gilbert, H. R. (2012). The effects of cigarette smoking on the female voice. Logopedics Phoniatrics Vocology, 37(1), 22–32.
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Zealouk, O., Satori, H., Hamidi, M. et al. Vocal parameters analysis of smoker using Amazigh language. Int J Speech Technol 21, 85–91 (2018). https://doi.org/10.1007/s10772-017-9487-0
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DOI: https://doi.org/10.1007/s10772-017-9487-0