most citedCAFE A Novel Code switching Dataset for Algerian Dialect French and English

2 citations · 2 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CL2026

AraYoungVoices: A Diverse L1/L2 Corpus of Arabic Child and Adolescent Speech

Shammur Absar Chowdhury, Zien Sheikh Ali, Houssam Eddine-Othman Lachemat +1

State-of-the-art ASR systems primarily target native adult speech, leading to substantial performance gaps for children, adolescents, and L2 speakers. We introduce AraYoungVoices,…

cs.CL2026

Almieyar: A Culturally Grounded Benchmark for Multi-Dialect Arabic Speech Recognition

Omid Ghahroodi, Anas Madkoor, Dima Faris Al Saudi +37

Arabic speech technology has largely focused on Modern Standard Arabic, leaving the living dialects spoken by hundreds of millions under-served. We introduce ALMIEYAR, a culturally…

cs.CL2026

Child ASR Adaptation with Adult Retention: An Empirical Study

Houssam Eddine-Othman Lachemat, Shammur Absar Chowdhury

Automatic Speech Recognition (ASR) systems often underperform for children and non-native speakers, while adapting adult ASR models to child speech can cause adult-speech forgettin…

cs.CL2026

Fanar 2.0: Arabic Generative AI Stack

FANAR TEAM, Ummar Abbas, Mohammad Shahmeer Ahmad +34

We present Fanar 2.0, the second generation of Qatar's Arabic-centric Generative AI platform. Sovereignty is a first-class design principle: every component, from data pipelines to…

cs.SD2024★ 2 cited

CAFE A Novel Code switching Dataset for Algerian Dialect French and English

Houssam Eddine-Othman Lachemat, Akli Abbas, Nourredine Oukas +3

The paper introduces and publicly releases (Data download link available after acceptance) CAFE -- the first Code-switching dataset between Algerian dialect, French, and english la…