An Automatic System to Identify the Spoken Syrian Arabic Regional Accents

  • 13 Nov 2021
  • Ongoing Research - Informatics & Communication

Nada Ghneim and Hala Kassab


Post Graduate Studies & Research Council Meeting No. 1, 31/10/2021

Date of Acceptance

In this work, we will attempt to automatically recognize the speaker’s accent among regional Arabic Levantine accents from different regions of Syria, i.e. Damascus (DA), Homs (HO), Daraa (DR) …. To achieve this goal, we will build an in-house Syrian speech corpus, and apply the state of the art techniques used in speaker and language identification. We will evaluate the proposed approaches on the corpus and compare the results to identify the best accent identification approach.