Work

Arab Voices: Mapping Standard and Dialectal Arabic Speech Technology

Year: 2026

Type: conference-paper

Abstract: Dialectness AnalysisHuman Sanity Check Standardized Benchmarks (One Hour / ISO)Figure 1: Mapping framework for standard and dialectal Arabic speech technology.We unify public and licensed datasets through a standardization pipeline, and then profile their demographic and quality characteristics, validating results through human-in-loop review.The unified data are then used to benchmark speech models and multimodal LLMs; the results of which alongside our dataset profiling, helps informs future data collection and modeling efforts.

Source: Findings of the Association for Computational Linguistics: ACL (Findings of ACL)

DOI: 10.18653/v1/2026.findings-acl.575

Authors: Peter Sullivan, AbdelRahim A. Elmadany, Alcides Alcoba Inciarte, Muhammad Abdul-Mageed

Institution: University of British Columbia

Language: English

Topic: Speech Recognition and Synthesis

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: Canada Research Chairs, Alliance de recherche numérique du Canada, Natural Sciences and Engineering Research Council of Canada, Social Sciences and Humanities Research Council of Canada

Awards: Conflict in Nova Scotia: women organizations and institutionalized restorative justice, G4998863085, G814497173