2 papers
cs.CL2026
CTC-DID: CTC-Based Arabic dialect identification for streaming applications
Muhammad Umar Farooq, Oscar Saz
This paper proposes a Dialect Identification (DID) approach inspired by the Connectionist Temporal Classification (CTC) loss function as used in Automatic Speech Recognition (ASR).…
cs.CL2025
SAGE: Spliced-Audio Generated Data for Enhancing Foundational Models in Low-Resource Arabic-English Code-Switched Speech Recognition
Muhammad Umar Farooq, Oscar Saz
This paper investigates the performance of various speech SSL models on dialectal Arabic (DA) and Arabic-English code-switched (CS) speech. To address data scarcity, a modified aud…