Over the past decades, a particular focus is given to research on machine learning
techniques for speech processing applications. However, in the past few years, research …

A number of AI-generated tools are used today to clone human voices, leading to a new
technology known as Audio Deepfakes (ADs). Despite being introduced to enhance human …

The constant Q transform (CQT) has been shown to be one of the most effective speech
signal pre-transforms to facilitate synthetic speech detection, followed by either hand-crafted …

Battery models are the cornerstone to battery state of charge (SOC) estimation and battery
management systems in electric vehicles. This paper proposes a novel fractional-order …

Deepfake content is created or altered synthetically using artificial intelligence (AI)
approaches to appear real. It can include synthesizing audio, video, images, and text …

Deep neural network (DNN)-task enabled mobile edge computing (MEC) is gaining ubiquity
due to outstanding performance of artificial intelligence. By virtue of characteristics of DNN …

Convolutional neural networks (CNNs) have recently shown excellent performance on the
task of fine-grained vehicle classification, where the motivation is to identify the fine-grained …

In recent years, automatic speaker verification (ASV) is used extensively for voice biometrics.
This leads to an increased interest to secure these voice biometric systems for real-world …

Audio deepfakes have been increasingly emerging as a potential source of deceit, with the
development of avant-garde methods of synthetic speech generation. Hence, differentiating …

Maturity level-based classification system plays an essential role in the design of tomato
harvesting robot. Traditional knowledge-based systems are unable to meet the current …