Kurdish Dialects and Neighbor Languages Automatic Recognition | Zendy

Abdulbasit K. AlTalabani | Zendy; Zrar Kh. Abdul | Zendy; Asmaa Ameen | Zendy

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Kurdish Dialects and Neighbor Languages Automatic Recognition

Author(s) -

Abdulbasit K. AlTalabani,

Zrar Kh. Abdul,

Asmaa Ameen

Publication year - 2017

Publication title -

aro-the scientific journal of koya university

Language(s) - English

Resource type - Journals

eISSN - 2410-9355

pISSN - 2307-549X

DOI - 10.14500/aro.10167

Subject(s) - computer science , confusion matrix , closeness , artificial intelligence , feature (linguistics) , confusion , set (abstract data type) , natural language processing , persian , metric (unit) , turkish , arabic , speech recognition , linguistics , pattern recognition (psychology) , mathematics , psychology , philosophy , mathematical analysis , operations management , psychoanalysis , economics , programming language

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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