Voice conversion is a process where the essence of a speaker's identity is seamlessly
transferred to another speaker, all while preserving the content of their speech. This usage is …

This article provides a detailed review of recent advances in audio-visual speech
recognition (AVSR) methods that have been developed over the last decade (2013–2023) …

In recent years, deep-learning-based hyperspectral image (HSI) classification networks
have become one of the most dominant implementations in HSI classification tasks. Among …

Fake media, generated by methods such as deepfakes, have become indistinguishable from
real media, but their detection has not improved at the same pace. Furthermore, the absence …

Cloud detection is critical in remote sensing image processing, and convolutional neural
networks (CNNs) have significantly advanced this field. However, traditional CNNs primarily …

Depression is a severe psychological condition that affects millions of people worldwide. As
depression has received more attention in recent years, it has become imperative to develop …

Change detection (CD) in remote sensing (RS) imagery is a pivotal method for detecting
changes in the Earth's surface, finding wide applications in urban planning, disaster …

With the emergence of deep learning, the performance of automatic speech recognition
(ASR) systems has remarkably improved. Especially for resource-rich languages such as …

Simple Summary Trunk-boring insects have emerged as one of the most threatening forest
pests globally, causing significant damage to forests. Certain groups of larvae reside within …

This paper addresses the problem of unsupervised video summarization. Video
summarization helps people browse large-scale videos easily with a summary from the …