DocumentCode :
2425212
Title :
Music Key Detection for Musical Audio
Author :
Zhu, Yongwei ; Kankanhalli, Mohan S. ; Gao, Sheng
Author_Institution :
National University of Singapore
fYear :
2005
fDate :
12-14 Jan. 2005
Firstpage :
30
Lastpage :
37
Abstract :
The key or the scale information of a piece of music provides important clues on its high level musical content, like harmonic and melodic context, which can be useful for music classification, retrieval or further content analysis. Researchers have previously addressed the issue of finding the key for symbolically encoded music (MIDI); however, very little work has been done on key detection for acoustic music. In this paper, we present a method for estimating the root of diatonic scale and the key directly from acoustic signals (waveform) of popular and classical music. We propose a method to extract pitch profile features from the audio signal, which characterizes the tone distribution in the music. The diatonic scale root and key are estimated based on the extracted pitch profile by using a tone clustering algorithm and utilizing the tone structure of keys. Experiments on 72 music pieces have been conducted to evaluate the proposed techniques. The success rate of scale root detection for pop music pieces is above 90%.
Keywords :
key detection; music information retrieval; Acoustic signal detection; Acoustic waves; Content based retrieval; Data mining; Feature extraction; Harmonic analysis; Information analysis; Instruments; Multiple signal classification; Music information retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Modelling Conference, 2005. MMM 2005. Proceedings of the 11th International
ISSN :
1550-5502
Print_ISBN :
0-7695-2164-9
Type :
conf
DOI :
10.1109/MMMC.2005.56
Filename :
1385971
Link To Document :
بازگشت