Title :
Audio Melody Extraction Based on Timbral Similarity of Melodic Fragments
Author_Institution :
Fac. of Comput. & Inf. Sci., Ljubljana Univ.
Abstract :
The presented study deals with extraction of melodic line(s) from polyphonic audio recordings. Our approach is based on finding significant melodic fragments throughout the analyzed piece of music and clustering these fragments according to their timbral similarity. Fragments within clusters are taken to represent fragments belonging to different melodic lines. Holes between significant fragments within each cluster are filled-in by a shortest-path approach over all melodic fragments. The paper presents our study in more detail and provides results on real recordings
Keywords :
acoustic signal detection; audio signal processing; music; audio melody extraction; melodic fragments; melodic line extraction; polyphonic audio recording; shortest-path approach; timbral similarity; Audio databases; Audio recording; Data mining; Iterative algorithms; Large-scale systems; Machine learning algorithms; Music information retrieval; Psychoacoustic models; Rhythm; Signal synthesis; audio melody extraction; melodic fragments; music information retrieval;
Conference_Titel :
Computer as a Tool, 2005. EUROCON 2005.The International Conference on
Conference_Location :
Belgrade
Print_ISBN :
1-4244-0049-X
DOI :
10.1109/EURCON.2005.1630193
