Title :
Generic Music Identification by Hierarchic Modeling of Human Perception
Author :
Seifert, Frank ; Rentzsch, Michael
Author_Institution :
Univ. of Technol., Chemnitz
Abstract :
To date, there are no systems that can identify music, neither audio nor midi, in a generic way. That is, for the countless possible occurrences of a certain song, it should be possible to associate them with only one generic description of that song. In this paper we describe a conceptual design for generic music identification. Therefore, we propose a hierarchy of elementary music descriptions and introduce the concept of generic perceptual musical patterns. To prove the designed model, it is implemented for symbolic music files.
Keywords :
audio signal processing; music; elementary music descriptions; generic description; generic music identification; generic perceptual musical patterns; human perception; symbolic music files; Acoustic noise; Chemical technology; Digital audio players; Fingerprint recognition; Humans; Instruments; Music; Rhythm; Signal to noise ratio; Timbre; Music Identification; Music Information Retrieval;
Conference_Titel :
Automated solutions for Cross Media Content and Multi-channel Distribution, 2008. AXMEDIS '08. International Conference on
Conference_Location :
Florence
Print_ISBN :
978-0-7695-3406-0
DOI :
10.1109/AXMEDIS.2008.27