Automatic speech recognition (ASR) has recently become an important challenge when
using deep learning (DL). It requires large-scale training datasets and high computational …

Artificial Intelligence (AI) is a fast-growing research and development (R&D) discipline which
is attracting increasing attention because it promises to bring vast benefits for consumers …

Future wireless networks (5G and beyond), also known as Next Generation or NextG, are
the vision of forthcoming cellular systems, connecting billions of devices and people …

With the recent advancement in large language models (LLMs), there is a growing interest in
combining LLMs with multimodal learning. Previous surveys of multimodal large language …

Adversarial attacks are a threat to automatic speech recognition (ASR) systems, and it
becomes imperative to propose defenses to protect them. In this paper, we perform …

Whisper is a recent Automatic Speech Recognition (ASR) model displaying impressive
robustness to both out-of-distribution inputs and random noise. In this work, we show that …

The Transformers architecture has recently emerged as a revolutionary paradigm in the field
of deep learning, particularly excelling in Natural Language Processing (NLP) and …

Adversarial attacks have become a major threat for machine learning applications. There is
a growing interest in studying these attacks in the audio domain, eg, speech and speaker …

Text classification systems have been proven vulnerable to adversarial text examples,
modified versions of the original text examples that are often unnoticed by human eyes, yet …

There has been a surge of interest in leveraging speech as a marker of health for a wide
spectrum of conditions. The underlying premise is that any neurological, mental, or physical …