Endowing machines with sensing capabilities similar to those of humans is a prevalent
quest in engineering and computer science. In the pursuit of making computers sense their …

Music information retrieval (MIR) is an emerging research area that receives growing
attention from both the research community and music industry. It addresses the problem of …

The GTZAN dataset appears in at least 100 published works, and is the most-used public
dataset for evaluation in machine listening research for music genre recognition (MGR). Our …

Since musical genre is one of the most common ways used by people for managing digital
music databases, music genre recognition is a crucial task, deep studied by the Music …

Much work is focused upon music genre recognition (MGR) from audio recordings, symbolic
data, and other modalities. While reviews have been written of some of this work before, no …

In this paper, we will propose an automatic music genre classification approach based on
long-term modulation spectral analysis of spectral (OSC and MPEG-7 NASE) as well as …

The music style classification technology can add style tags to music based on the content.
When it comes to researching and implementing aspects like efficient organization …

A huge increase in the number of digital music tracks has created the necessity to develop
an automated tool to extract the useful information from these tracks. As this information has …

Motivated by psychophysiological investigations on the human auditory system, a bio-
inspired two-dimensional auditory representation of music signals is exploited, that captures …

The goal of music genre classification is to identify the genre of given feature vectors
representing certain characteristics of music clips. In addition, to improve the accuracy of …