Using Formants to Compare Short and Long Vowels in Modern Standard Arabic

This study was concerned with the short vowels in modern standard Arabic words with Consonant Vowel-Consonant Vowel-Consonant Vowel (CVCVCV) structure, and the long vowels in words with Consonant Vowel Vowel-Consonant (CVVC). Even though there has been a dispute on the precise number of Arabic vowels that exist between language studies, this study used the opinion that the Arabic language has three vowels;the elongation of each vowel gave the other three because this is the opinion of classical Arabic linguists which is the source of the Modern Standard Arabic (MSA). Studies said that the first and second formant values (F1, F2) can represent the vowels. In this study, the formants were measured using LPC (Linear Predictive Coding), verifying the measurement to see if the measured follows the pattern of formants measurements of the other studies, and the formants were used to investigate the relationship between short and long vowels. Furthermore, the study figured out if the dialect of speakers can affect the values of formants, even if the spoken language is MSA, some statistical measurements were calculated to evaluate the relationship.

Constructing a Simple Verbal Compiler

The paper’s purpose is to design and program the four operation-calculators that receives voice instructions and runs them as either a voice or text phase. The Calculator simulates the work of the Compiler. The paper is a practical example programmed to support that it is possible to construct a verbal Compiler.

Using Formants to Extract Short Vowels from Arabic Words with (Consonant Vowel)³Structure

Arabic texts suffer from missing short vowels. Arabic Speech Recognition is not as good as English speech recognition due to the short vowels not being recognized. And the Arabic language is unlike the English language in characteristics such as the number of vowels. English has more than 24 vowels that are close to each other in pronunciation. The Arabic language only has three short vowels that are far from each other in utter and measurement, by elongating those short vowels, long vowels arose. Researchers said that the vowels could be recognized using formants. The formants’ measurements of Arabic vowels are far from each other too, so it is possible to recognize them so that Arabic Speech recognition can give more accurate results. The paper applies this idea to the corpus Phonemes of Arabic. It uses the Euclidian distance method to measure the distances between formant values to recognize Arabic from words with a CV3 structure, the Linear Predictive Coding method and MATLAB to develop the programs that will extract the formants and calculate the means of the short vowels by using the corpus to identify the short vowels within words in the corpus. The results showed that if highly qualified readers were chosen to read the Arabic text, then higher rates of recognition of the short vowels involved in words will be achieved. This paper revealed that some of the characteristics of a language can be utilized for vowel recognition or to enhance the existing methods for speech recognition.