Kurdish Dialects and Neighbor Languages Automatic Recognition

Abdulbasit K. Al-Talabani; Zrar K. Abdul; Azad A. Ameen

doi:10.14500/aro.10167

Abdulbasit K. Al-Talabani Department of Software Engineering, Faculty of Engineering, Koya University, Kurdistan Region http://orcid.org/0000-0001-6328-204X
Zrar K. Abdul Department of Computer Science, Charmo University, Kurdistan Region
Azad A. Ameen Department of Computer Science, Charmo University, Kurdistan Region

Keywords: Dialect recognition, Speech Analysis, Machine Learning, Natural Language, Local Binary Pattern

Abstract

Dialect recognition is one of the most hot topics in the speech analysis area. In this study a system for dialect and language recognition is developed using phonetic and a style based features. The study suggests a new set of feature using one-dimensional LBP feature. The results show that the proposed LBP set of feature is useful to improve dialect and language recognition accuracy. The acquired data involved in this study are three Kurdish dialects (Sorani, Badini and Hawrami) with three neighbor languages (Arabic, Persian and Turkish). The study proposed a new method to interpret the closeness of the Kurdish dialects and their neighbor languages using confusion matrix and a non-metric multi-dimensional visualization technique. The result shows that the Kurdish dialects can be clustered and linearly separated from the neighbor languages.

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Author Biographies

Abdulbasit K. Al-Talabani, Department of Software Engineering, Faculty of Engineering, Koya University, Kurdistan Region

Abdulbasit K. Al-Talabani received a BSc degree in Mathematics from the University of Salahadin-Erbil, Kurdistan, Iraq, in 2000 and MSc in Computer Science from Koya University, Koya, Erbil, Kurdistan, Iraq in 2006 and Ph.D. in Computer Science from The University of Buckingham, UK, in 2015. In 2006 he joined the Software Engineering Department in Koya University as an Assistant Lecturer and later as a lecturer until now.

Zrar K. Abdul, Department of Computer Science, Charmo University, Kurdistan Region

Zrar K. Abdul received a BSc degree in Computer engineering at Koya University, Koya Kurdistan, Iraq, in 2009 and M.Sc. in Control System Engineering from Sheffield University, Sheffield, UK, in 2012. In 2012 he joined the Software Engineering Department in Koya university as an Assistant Lecturer and later in the Computer Science department in College of education in Charmo university, Kurdistan, Iraq, as a lecturer until now.

Azad A. Ameen, Department of Computer Science, Charmo University, Kurdistan Region

Azad A. Ameen received a BSc degree in Computer Science from the University of Salahaddin-Erbil, Kurdistan, Iraq, in 2003 and MSc in Computer Science from Koya
University, Koya, Erbil, Kurdistan, Iraq in 2006. In 2006 he joined the Computer Systems Department in Koya university as an Assistant Lecturer and he has been awarded a scholarship from Charmo Unversity – Department of Computer Science to pursue academic study toward a Ph.D. degree in the field of Computer Science abroad under the Human Capacity Development Program (HCDP) sponsored by Kurdistan Regional Government (KRG).

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