output
20182026
most citedAutomatic Speech Recognition using Advanced Deep Learning Approaches: A survey

194 citations

Showing 2024Show all

6 papers · 1 filter

cs.CL2024★ 26 cited

Automatic Speech Recognition with BERT and CTC Transformers: A Review

Noussaiba Djeffal, Hamza Kheddar, Djamel Addou +2

This review paper provides a comprehensive analysis of recent advances in automatic speech recognition (ASR) with bidirectional encoder representations from transformers BERT and c…

cs.CR2024★ 8 cited

A Visualized Malware Detection Framework with CNN and Conditional GAN

Fang Wang, Hussam Al Hamadi, Ernesto Damiani

Malware visualization analysis incorporating with Machine Learning (ML) has been proven to be a promising solution for improving security defenses on different platforms. In this w…

cs.CV2024★ 1 cited

Mapping the Unseen: Unified Promptable Panoptic Mapping with Dynamic Labeling using Foundation Models

Mohamad Al Mdfaa, Raghad Salameh, Geesara Kulathunga +2

Panoptic maps enable robots to reason about both geometry and semantics. However, open-vocabulary models repeatedly produce closely related labels that split panoptic entities and…

cs.SD2024★ 194 cited

Automatic Speech Recognition using Advanced Deep Learning Approaches: A survey

Hamza Kheddar, Mustapha Hemis, Yassine Himeur

Recent advancements in deep learning (DL) have posed a significant challenge for automatic speech recognition (ASR). ASR relies on extensive training datasets, including confidenti…

cs.LG2024★ 8 cited

Machine Learning and Transformers for Thyroid Carcinoma Diagnosis: A Review

Yassine Habchi, Hamza Kheddar, Yassine Himeur +1

The growing interest in developing smart diagnostic systems to help medical experts process extensive data for treating incurable diseases has been notable. In particular, the chal…

hep-ph2024★ 4 cited

Image and Point-cloud Classification for Jet Analysis in High-Energy Physics: A survey

Hamza Kheddar, Yassine Himeur, Abbes Amira +1

Nowadays, there has been a growing trend in the field of high-energy physics (HEP), in both its experimental and phenomenological studies, to incorporate machine learning (ML) and…