Add to ORKGUsing data mining techniques, including co-occurrence analysis, for the purpose of discovering similarities between songs and classifying songs into the correct genre’s or artists. Musicology – the systematic study of music using qualitative analysis What makes up Music Mining? Song storage and representatio
In this paper, a method is proposed to detect the emotion of a song based on its lyrical and audio f...
With increasing amounts of audio being stored and distributed electronically, intuitive and efficien...
Music Information Retrieval is, nowadays, a highly active branch of research and development in the ...
As data becomes vastly available in the digital form, the integrity, organizing and searching for th...
The paper presents a comparative study of music features derived from audio recordings, i.e. the sam...
Musical genre classification is a useful tool for automatically attaching semantic information to mu...
Automatic audio content analysis is a general research area in which algorithms are developed to all...
Music classification is a key ingredient for electronic music distribution. Because of the lack of s...
In the field of computer music, pattern recognition algorithms are very relevant for music informati...
We consider the problem of subgenre classification in music datasets. We propose an adaptation of as...
Music analysis, i.e. using computers to analyze fully notated pieces of musical score, is one of the...
Attempts to categorise music by extracting audio features from a sample have had mixed results. Some...
Music is a complex form of communication in which both artists and cultures express their ideas and ...
Compared with audio data-based music genre classification, researches on symbolic data-based music a...
Multimedia content can be described in versatile ways as its essence is not limited to one view. For...
In this paper, a method is proposed to detect the emotion of a song based on its lyrical and audio f...
With increasing amounts of audio being stored and distributed electronically, intuitive and efficien...
Music Information Retrieval is, nowadays, a highly active branch of research and development in the ...
As data becomes vastly available in the digital form, the integrity, organizing and searching for th...
The paper presents a comparative study of music features derived from audio recordings, i.e. the sam...
Musical genre classification is a useful tool for automatically attaching semantic information to mu...
Automatic audio content analysis is a general research area in which algorithms are developed to all...
Music classification is a key ingredient for electronic music distribution. Because of the lack of s...
In the field of computer music, pattern recognition algorithms are very relevant for music informati...
We consider the problem of subgenre classification in music datasets. We propose an adaptation of as...
Music analysis, i.e. using computers to analyze fully notated pieces of musical score, is one of the...
Attempts to categorise music by extracting audio features from a sample have had mixed results. Some...
Music is a complex form of communication in which both artists and cultures express their ideas and ...
Compared with audio data-based music genre classification, researches on symbolic data-based music a...
Multimedia content can be described in versatile ways as its essence is not limited to one view. For...
In this paper, a method is proposed to detect the emotion of a song based on its lyrical and audio f...
With increasing amounts of audio being stored and distributed electronically, intuitive and efficien...
Music Information Retrieval is, nowadays, a highly active branch of research and development in the ...