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Computational Model and Simulation of Articulatory Mechanism in Yoruba Voiced Speech
ADEGBITE Adewuyi Adetayo, ODEJOBI, Ajadi Odetunji, LAYENI, Olawanle P.
Pages - 40 - 57     |    Revised - 30-11-2020     |    Published - 31-12-2020
Volume - 8   Issue - 4    |    Publication Date - December 2020  Table of Contents
Yoruba Vowels, Speech Production Process, Oral Cavity, Nasal Cavity, Articulatory Mechanism.
This study examined the physical, electrical and mathematical models used in the dynamics of voiced sound production. It formulated and designed a computational model for the standard Yoruba voiced sounds, and the designed model also implemented. This was with a view to developing a Yoruba speech recognition and text-to-speech model. The mechanism of human speech production articulatory process documented in the existing literature was examined and analysed. The mechanical coupling in the vocal cords of the oral and that of the nasal cavity were studied. Then a computational model, which defined real variables over Standard Yoruba voice speech production process was formulated and designed using algorithm. The design was then implemented using an appropriate numerical computational tool called Matlab. The implemented novel model established that more volume in time of air will be needed for nasal vowels than oral vowels in the production of Yoruba voiced speech. A minimum of 238cm3 of air is needed for nasal cavity while a maximum of 171cm3 is needed for oral cavity. It was deduced that the change in the damping coefficient along the vocal cord does not affect the response rate of the speech organ whose rise time remains 0.9ms while a change in the spring constant causes changes in the response rate parameters. Whenever damping coefficient is constant, that is, either 0.1 or 0.2 over the points positioned with masses, even if the vocal chords of individuals have different assigned mass values, the speech production is still the same and observed as normal. The study concluded by establishing a computational model for nasalized Yoruba vowels. This model has the utility of serving as a resource for Yoruba speech recognition and text-to-speech application.
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Mr. ADEGBITE Adewuyi Adetayo
Department of Computer Science, Adekunle Ajasin University, Akungba-Akoko - Nigeria
Professor ODEJOBI, Ajadi Odetunji
Department of Computer Science and Engineering, Obafemi Awolowo. University, Ile-Ife - Nigeria
Dr. LAYENI, Olawanle P.
Department of Mathematics, Obafemi Awolowo. University, Ile-Ife - Nigeria