Automatic environmental sound classification (ESC) is one of the upcoming areas of
research as most of the traditional studies are focused on speech and music signals …

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

Music genre classification is one part of the music recommendation process, which is a
challenging job. This research proposes the classification of music genres using …

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 …

This survey explores the symbiotic relationship between Machine Learning (ML) and music,
focusing on the transformative role of Artificial Intelligence (AI) in the musical sphere …

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 genres can reveal our preferences and are one of the main tools for retailers, libraries,
and people to organize music. In addition, the music industry uses genres as a key method …

Recently, the tourism trend has been shifting towards the Tourism 2.0 paradigm due to
increased travel experiences and the increase in acquiring and sharing information through …

The intelligent classroom teaching system can analyze the student features and teaching
content, and then push the suitable content to students. With the aid of such a system …

Automatic music genre classification is a prevailing pattern recognition task, and many
algorithms have been proposed for accurate classification. Considering that the genre of …