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 …

Music has a close relationship with people's emotion and mental status. Music
recommendation has both economic and social benefits. Unfortunately, most existing music …

With the development and advancement of information technology, artificial intelligence (AI)
and machine learning are applied in every sector of life. Among these applications, music is …

Due to the expansion of e-business, the availability of products on the internet has massively
increased. Finding suitable stuff from the vast array of products available on the internet is a …

Virtual Reality (VR) technology uses computers to simulate the real world comprehensively.
VR has been widely used in college teaching and has a huge application prospect. To better …

Music preferences are strongly shaped by the cultural and socio-economic background of
the listener, which is reflected, to a considerable extent, in country-specific music listening …

Music classification is an essential application of Music Information Retrieval (MIR) in
organizing extensive collections of music. The tasks to classify different music with reliable …

Abstract Automatic Music Genre Classification (MGC) is said to be a basic element for
retrieving the music information. In fact, music genre labels are very useful to organize …

Recommender systems are being used in streaming service platforms to provide users with
personalized suggestions to increase user satisfaction. These recommendations are …

Musical genres are categorical labels created by humans for characterizing pieces of music.
This categorization of musical genre is done by the common characteristics shared by its …