Kurdish Dialects and Neighbor Languages Automatic Recognition

Al-Talabani, Abdulbasit and Abdul, Zrar and Ameen, Azad (2017) Kurdish Dialects and Neighbor Languages Automatic Recognition. ARO-The Scientific Journal of Koya University, 5 (1). pp. 20-23. ISSN 24109355

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Official URL: http://dx.doi.org/10.14500/aro.10167

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.

Item Type: Article
Uncontrolled Keywords: Dialect recognition, Speech Analysis, Machine Learning, Natural Language, Local Binary Pattern
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Aro-The Scientific Journal of Koya University > VOL 5, NO 1 (2017)
Depositing User: Dr Salah Ismaeel Yahya
Date Deposited: 30 Jul 2017 09:20
Last Modified: 02 Aug 2017 22:16
URI: http://eprints.koyauniversity.org/id/eprint/87

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