The aim of this study is to teach an algorithm how to recognize different types of music.
Users will submit songs for analysis. Since the algorithm hasn't heard these songs before, it …

As people have access to increasingly large music data, music classifcation becomes critical
in music industry. In particular, automatic genre classifcation is an important feature in music …

Music is part of many areas throughout daily life, from entertainment to rehabilitation.
Technological developments are widely used in music, as they are in every field. In this …

What exactly is it that makes us, humans, able to tell apart two songs of different genres?
The deduction cannot be trivially made from basic music features, such as BPM, or different …

Music genres can be seen as categorical descriptions used to classify music basing on
various characteristics such as instrumentation, pitch, rhythmic structure, and harmonic …

Music genres serve as classifications that categorize music according to shared traditions
and practices. These classifications can heighten the pleasure derived from music by …

Rapid grow of the digital music content and service providers worldwide everyday increases
the importance of music genre classification. Most genre classification still relies heavily on …

Music has a significant impact on people's lives. Music brings people of the same interests
together and holds people together. The goal of our study is to develop a machine-learning …

To classify songs into different genres, music researchers have used many different
techniques. However, most current approaches rely heavily on feature extraction and …

Automatic classification of music is a complex and interesting research problem due to the
difficulties that arise when determining the musical features that should be considered for …