most citedEnd-to-end Jordanian dialect speech-to-text self-supervised learning framework

5 citations · 5 across the 1 of their papers we have counts for

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cs.CL2026★ 5 cited

End-to-end Jordanian dialect speech-to-text self-supervised learning framework

Ali A. Safieh, Ibrahim Abu Alhaol, Rawan Ghnemat

Speech-to-text engines are extremely needed nowadays for different applications, representing an essential enabler in human-robot interaction. Still, some languages suffer from the…