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
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