5 papers
Constrained CTC Decoding for Efficient Diacritic Restoration
Rufael Marew, Amr Keleg, Hanan Aldarmaki
In this work, we address diacritic restoration for Arabic speech transcripts. Most speech data are undiacritized, limiting the ability of modeling fine-grained phonological distinc…
Clinical Annotations for Automatic Stuttering Severity Assessment
Ana Rita Valente, Rufael Marew, Hawau Olamide Toyin +6
Stuttering is a complex disorder that requires specialized expertise for effective assessment and treatment. This paper presents an effort to enhance the FluencyBank dataset with a…
ArVoice: A Multi-Speaker Dataset for Arabic Speech Synthesis
Hawau Olamide Toyin, Rufael Marew, Humaid Alblooshi +2
We introduce ArVoice, a multi-speaker Modern Standard Arabic (MSA) speech corpus with diacritized transcriptions, intended for multi-speaker speech synthesis, and can be useful for…
On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable?
Raza Imam, Rufael Marew, Mohammad Yaqub
Medical Vision-Language Models (MVLMs) have achieved par excellence generalization in medical image analysis, yet their performance under noisy, corrupted conditions remains largel…
CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image Collections
Mohamed Fazli Imam, Rufael Fedaku Marew, Jameel Hassan +3
In the era of foundation models, CLIP has emerged as a powerful tool for aligning text & visual modalities into a common embedding space. However, the alignment objective used to t…