Effective use of Artificial intelligence (AI) applications were used to automatically recognize the physical acoustic properties of speech of pupils with articulation disorders in primary school.

             The study aimed to use the use of artificial intelligence applications for automatic identification of the physical acoustic properties of the speech of students with speech disorders in the primary stage, and to achieve the objectives of the study, a measure of speech phoneme disorder was designed consisting of (54) items dealing with seven dimensions of the manifestations of speech sound disorder, and the current study sample was formed. Of (6) pupils and his student, (3) males, (3) females, their ages ranged between (6: 9) years of primary school students in the New Valley Governorate who had disturbances in the speech sound (pronunciation) in the aforementioned sounds. The focus in the physical analysis of speech sound disorder in the current study was on the sound wave, the acoustic components, the level of vocal pressure, the sound energy, and the frequency of the speech sounds, by taking speech samples in the production of sounds, which were analyzed physically to identify the number of vocal errors. And its types and stability of errors, intonation, tone, frequency, amplitude, pitch, loudness, intensity and type of voice, vocal beams, vocal movement resonance, vocal movement time, syllable and rhythm, and the results of the study concluded that there are statistically significant differences in the use of artificial intelligence software Physical analysis of sound in component rate, pressure level, energy level, sound wave shape, duration of frequencies, speech sound disturbance of the sounds "t, t, qaf, kaf, tha, sine, dah, dal" and the position of disturbance in the word "beginning, middle, end" ", And there are also statistically significant differences (0.01) in the pupils' performance in the scale of speech sound disorders (paper) and between the artificial intelligence software (devices) for the physical sound analysis with the aim of extracting voice disturbances. Speech for elementary school students.