A Comprehensive Central Kurdish Sound Dataset for Robust Speech-to-Text Transformation
Published: 19 April 2024| Version 3 | DOI: 10.17632/gft65z43hs.3
Contributors:
, , , , Description
Exploring the intricacies of Speech Recognition Technology (SRT), our dataset encompasses a wide range of age demographics, spanning from adolescents to individuals in their fifties. This diverse dataset comprises a substantial collection of raw data, amounting to 1,739,089 entries. Within this dataset, a meticulous curation process has yielded a total of 1,683 hours of data, providing a thorough examination of language acquisition patterns across different age cohorts within the Central Kurdish linguistic domain.
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Institutions
University of Halabja
Categories
Speaker Recognition, Kurd, Deep Learning, Speech Synthesis