Scientists and researchers have tried to establish a bond between the emotions conveyed
and the subsequent mood perceived in a person. Emotions play a major role in terms of our …

Recommender systems are the algorithms which select, filter, and personalize content
across many of the world's largest platforms and apps. As such, their positive and negative …

A robust and language agnostic Voice Activity Detection (VAD) is crucial for Digital
Entertainment Content (DEC). Primary examples of DEC include movies and TV series …

Music genre classification based on visual representation has been successfully explored
over the last years. Recently, there has been increasing interest in attempting convolutional …

Deep learning can be used for audio signal classification in a variety of ways. It can be used
to detect and classify various types of audio signals such as speech, music, and …

Music information retrieval (MIR) has witnessed rapid advances in various tasks like musical
similarity, music genre classification (MGC), etc. MGC and audio tagging are approached …

Manual classification of millions of songs of the same or different genres is a challenging
task for human beings. Therefore, there should be a machine intelligent model that can …

Music is a type of time-series data. As the size of the data increases, it is a challenge to build
robust music genre classification systems from massive amounts of music data. Robust …

Music genre is one of the conventional ways to describe music content, and also is one of
the important labels of music information retrieval. Therefore, the effective and precise music …

INTRODUCTION: Heart disease (HD) has been identified as one of the deadly diseases,
which affects the human beings of all ages worldwide. In such a scenario, Data Mining (DM) …