Music videos contain a great deal of visual and acoustic information. Each information
source within a music video influences the emotions conveyed through the audio and video …

Music source separation has traditionally followed the encoder-decoder paradigm (eg,
hourglass, U-Net, DeconvNet, SegNet) to isolate individual music components from …

Recent advances in the time-domain speech separation methods, particularly those
specialized in using attention mechanisms to model sequences, have significantly improved …

Affective computing has suffered by the precise annotation because the emotions are highly
subjective and vague. The music video emotion is complex due to the diverse textual …

Music emotion classification is an area of research that helps in identifying the emotions
from the songs and labelling the songs with emotion classes by extracting the features from …

In this paper, first, we delved into the experiment by comparing various attention
mechanisms in the semantic pixel-wise segmentation framework to perform frame-level …

A smart system is highly desirable with the capability to divide music into coarse and fine
categories based on emotion and genre. In this paper, we classify the music based on genre …

The COVID-19 pandemic has caused a global health crisis. In response, the World Health
Organization (WHO) has suggested wearing a face mask in public for effective protection …

Artificial neural networks suffer from catastrophic forgetting unlike humans when these
networks are trained on something new, which causes significant performance degradation …

Audio source separation is the way in which we separate the sound origin from the audio
site. Music origin partition is very essential for various applications. The application of …