[en] Within the numediart/HyForge research program, this project
aims at studying techniques and developing software prototypes
for analyzing the structure of music contents and extracting summary
excerpts. Several acoustic features are proposed to describe
music signals, namely timbral, harmonic and rhythmic features.
Based on these features, a method is proposed to derive the similarity
structure of the music signals and extract the most similar
audio sections. The resulting structure is encoded in a XML format
to be used within a graphical user interface developed in the
Processing language, which provides the user with an enhanced
listening experience of music contents.
Disciplines :
Electrical & electronics engineering Library & information sciences
Author, co-author :
Couvreur, Laurent
Bettens, Frédéric ; Université de Mons > Faculté Polytechnique > Information, Signal et Intelligence artificielle
Drugman, Thomas ; Université de Mons > Faculté Polytechnique > Information, Signal et Intelligence artificielle
Dubuisson, Thomas ; Université de Mons > Faculté Polytechnique > Information, Signal et Intelligence artificielle
Dupont, Stéphane ; Université de Mons > Faculté Polytechnique > Information, Signal et Intelligence artificielle
Mancas, Matei ; Université de Mons > Faculté Polytechnique > Information, Signal et Intelligence artificielle
Language :
English
Title :
Project # 2.3 : audio thumbnailing
Publication date :
01 June 2008
Journal title :
Quarterly Progress Scientific Report of the Numediart Research Program
ISSN :
2032-5398
Publisher :
numediart Institute for Creative Technologies, Mons, Belgium
Volume :
1
Issue :
2
Pages :
67-85
Research unit :
F105 - Information, Signal et Intelligence artificielle
Research institute :
R300 - Institut de Recherche en Technologies de l'Information et Sciences de l'Informatique R450 - Institut NUMEDIART pour les Technologies des Arts Numériques