The discipline of Deep Learning has been recognized for its strong computational tools,
which have been extensively used in data and signal processing, with innumerable …

With the advent of the modern era, deep neural networks have dominated recommender
systems, as they can effectively capture complex interactions. Nevertheless, there is still a …

We propose to aid the hiring process by automatic profiling of a candidate's social media
presence and using it in conjunction with their resume and other information to suggest an …

This work aims to systematically analyze and address fairness issues arising in machine
learning models because of class imbalances present in data, specifically used for …

Numerous applications for music listeners, educators, DJs, and musicians have been
created over the past decade as the field of Music Deep Learning has expanded. Evidently …

A raga is a unique set of notes with certain rules that carefully followed, retain and protect its
purity and produce amazing musical effects. An automated raga transcription and …

In this paper, our key aspect is the design of a deep learning architecture for the
classification of Hindustani (classical North Indian music) ragas (music modes). In an …

Performers of classical music require a blend of technical precision and artistic expression in
their output, and this fusion, often referred to as “musicality,” is considered vital to …

It is very important to access a rich music dataset that is useful in a wide variety of
applications. Currently, available datasets are mostly focused on storing vocal or …

Present-day listeners can find it challenging to invest the time and effort necessary to learn
the fundamentals of a particular genre of music. It would be easier to study Carnatic music in …