4 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…
Performance Analysis of Speech Encoders for Low-Resource SLU and ASR in Tunisian Dialect
Salima Mdhaffar, Haroun Elleuch, Fethi Bougares +1
Speech encoders pretrained through self-supervised learning (SSL) have demonstrated remarkable performance in various downstream tasks, including Spoken Language Understanding (SLU…