Significant research has been conducted during the last decade on the application of
machine learning for speech processing, particularly speech recognition. However, in recent …

Sentiment analysis is a method within natural language processing that evaluates and
identifies the emotional tone or mood conveyed in textual data. Scrutinizing words and …

Abstract Recent advancements in Automatic Speech Recognition (ASR) systems,
exemplified by Whisper, have demonstrated the potential of these systems to approach …

Machine learning algorithms have had a profound impact on the field of computer science
over the past few decades. The performance of these algorithms heavily depends on the …

Speaker identification, a cornerstone of speech processing, involves associating individuals
with spoken segments within a known speaker pool. This paper presents a significant AI …

In this paper we develop approaches to automatic speech recognition (ASR) development
that suit the needs and functions of under-heard language speakers. Our novel contribution …

In this work, we explore Parameter-Efficient-Learning (PEL) techniques to repurpose a
General-Purpose-Speech (GSM) model for Arabic dialect identification (ADI). Specifically …

With careful manipulation, malicious agents can reverse engineer private information
encoded in pre-trained language models. Security concerns motivate the development of …

Machine Learning algorithms have had a profound impact on the field of computer science
over the past few decades. These algorithms performance is greatly influenced by the …

As Artificial Intelligence (AI) continues to advance rapidly, it becomes increasingly important
to consider AI's ethical and societal implications. In this paper, we present a bottom-up …