Recognize some of Arabic phonemes by using Mamdani Neurofuzzy network

Other Title(s)

تمييز بعض الفونيمات العربية باستخدام الشبكة العصبية المضببة (ممداني)‎

Author

Saddam, Siba Abd al-Wahid

Source

al-Qadisiyah Journal for Computer Science and Mathematics

Issue

Vol. 7, Issue 1 (30 Jun. 2015), pp.1-15, 15 p.

Publisher

University of al-Qadisiyah College of computer Science and Information Technology

Publication Date

2015-06-30

Country of Publication

Iraq

No. of Pages

15

Main Subjects

Natural & Life Sciences (Multidisciplinary)

Abstract EN

Modified mamdani neurofuzzy network scheme has been proposed and presented in this paper to recognize some of Arabic phonemes.

The number of connecting is reduced to be equal to the number of member ship function plus one.

To training this network ,we used some of sound segments which contain from two or three phonemes and recorded from more than one person in different age and both sexes in the same environment by used the same recorded programming (sound forge 5.0) .

The proposed technique has been testing by using different group from sound segments which recorded in the same environment and recorded program.

The percentage of recognition reaches to 87 % to all recorded phonemes

American Psychological Association (APA)

Saddam, Siba Abd al-Wahid. 2015. Recognize some of Arabic phonemes by using Mamdani Neurofuzzy network. al-Qadisiyah Journal for Computer Science and Mathematics،Vol. 7, no. 1, pp.1-15.
https://search.emarefa.net/detail/BIM-787785

Modern Language Association (MLA)

Saddam, Siba Abd al-Wahid. Recognize some of Arabic phonemes by using Mamdani Neurofuzzy network. al-Qadisiyah Journal for Computer Science and Mathematics Vol. 7, no. 1 (2015), pp.1-15.
https://search.emarefa.net/detail/BIM-787785

American Medical Association (AMA)

Saddam, Siba Abd al-Wahid. Recognize some of Arabic phonemes by using Mamdani Neurofuzzy network. al-Qadisiyah Journal for Computer Science and Mathematics. 2015. Vol. 7, no. 1, pp.1-15.
https://search.emarefa.net/detail/BIM-787785

Data Type

Journal Articles

Language

English

Notes

Includes appendix : p. 15

Record ID

BIM-787785