Title :
Rhythm map: Extraction of unit rhythmic patterns and analysis of rhythmic structure from music acoustic signals
Author :
Tsunoo, Emiru ; Ono, Nobutaka ; Sagayama, Shigeki
Author_Institution :
Grad. Sch. of Inf. Sci. & Technol., Univ. of Tokyo, Tokyo
Abstract :
This paper discusses an approach to extract constituent percussive bar-long patterns in a music piece given as acoustic signal and to analyze the music structure with a map of constituent rhythmic patterns. Possible applications include music genre classification, music information retrieval (MIR) and music modification such as replacing rhythmic patterns with others. We propose a mathematical method based on One-pass DP algorithm and k-means clustering to extract unit percussive rhythmic patterns. As the result of identifying and localization the unit patterns in the entire piece, we obtained a music structure in the form of a map of rhythmic patterns.
Keywords :
acoustic signal detection; feature extraction; information retrieval; constituent rhythmic patterns; music acoustic signals; music genre classification; music information retrieval; music modification; rhythm map; unit rhythmic patterns extraction; Clustering algorithms; Data mining; Information analysis; Iterative algorithms; Multiple signal classification; Music; Pattern analysis; Rhythm; Signal analysis; Spectrogram; Dynamic programming; Pattern clustering method; Percussive sound; Spectral analysis; feature extraction;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2009.4959551