3 citations · 3 across the 7 of their papers we have counts for
8 papers
CV-18 NER: Augmented Common Voice for Named Entity Recognition from Arabic Speech
Youssef Saidi, Haroun Elleuch, Fethi Bougares
End-to-end speech Named Entity Recognition (NER) aims to directly extract entities from speech. Prior work has shown that end-to-end (E2E) approaches can outperform cascaded pipeli…
SLURP-TN : Resource for Tunisian Dialect Spoken Language Understanding
Haroun Elleuch, Salima Mdhaffar, Yannick Estève +1
Spoken Language Understanding (SLU) aims to extract the semantic information from the speech utterance of user queries. It is a core component in a task-oriented dialogue system. W…
Ara-Best-RQ: Multi Dialectal Arabic SSL
Haroun Elleuch, Ryan Whetten, Salima Mdhaffar +2
We present Ara-BEST-RQ, a family of self-supervised learning (SSL) models specifically designed for multi-dialectal Arabic speech processing. Leveraging 5,640 hours of crawled Crea…
SENSE models: an open source solution for multilingual and multimodal semantic-based tasks
Salima Mdhaffar, Haroun Elleuch, Chaimae Chellaf +2
This paper introduces SENSE (Shared Embedding for N-lingual Speech and tExt), an open-source solution inspired by the SAMU-XLSR framework and conceptually similar to Meta AI's SONA…
TEDxTN: A Three-way Speech Translation Corpus for Code-Switched Tunisian Arabic - English
Fethi Bougares, Salima Mdhaffar, Haroun Elleuch +1
In this paper, we introduce TEDxTN, the first publicly available Tunisian Arabic to English speech translation dataset. This work is in line with the ongoing effort to mitigate the…
ELYADATA & LIA at NADI 2025: ASR and ADI Subtasks
Haroun Elleuch, Youssef Saidi, Salima Mdhaffar +2
This paper describes Elyadata \& LIA's joint submission to the NADI multi-dialectal Arabic Speech Processing 2025. We participated in the Spoken Arabic Dialect Identification (ADI)…