Dataset for the recognition of Kurdish sound dialects

Dialect recognition System (DRS) is a highly significant subject within the field of speech analysis. The performance of speech recognition systems is adversely impacted by factors such as the age, gender, and dialect features of the speaker. In order to address variations in dialect, it is possible...

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Bibliographic Details
Published in:Data in brief Vol. 53; p. 110231
Main Authors: Rawf, Karwan M. Hama, Karim, Sarkhel H. Taher, Abdulrahman, Ayub O., Ghafoor, Karzan J.
Format: Journal Article
Language:English
Published: Netherlands Elsevier Inc 01.04.2024
Elsevier
Subjects:
Badini
computer science
data collection
Dialect recognition
gender
Hawrami
human resources
Kurdish dialect
Sorani
speech
Hawrami
Dialect recognition
Badini
Sorani
Kurdish dialect
ISSN:2352-3409, 2352-3409
Online Access:Get full text
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Summary:Dialect recognition System (DRS) is a highly significant subject within the field of speech analysis. The performance of speech recognition systems is adversely impacted by factors such as the age, gender, and dialect features of the speaker. In order to address variations in dialect, it is possible to incorporate DRS into speech recognition systems. The system can be configured to utilize the appropriate speech recognition model based on the identification of the spoken dialect. Currently, there is a lack of available datasets suitable for the development of automatic dialect recognition systems specifically tailored for the Kurdish language. The proposed dataset under consideration is assessed using experimental data that has been gathered by personnel associated with the Computer Science Department at the University of Halabja. As the Kurdish language has three main dialects: Northern Kurdish (Badini variation), Central Kurdish (Sorani variant), and Hawrami, three dialects are included in the dataset.
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ISSN:2352-3409
2352-3409
DOI:10.1016/j.dib.2024.110231