DocumentCode :
2930001
Title :
Fundamental frequency estimation for music signals with modified Hilbert-Huang transform (HHT)
Author :
Tsau, Enshuo ; Cho, Namgook ; Kuo, C. -C Jay
Author_Institution :
Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
fYear :
2009
fDate :
June 28 2009-July 3 2009
Firstpage :
338
Lastpage :
341
Abstract :
In this work, we propose a modified Hilbert-Huang transform (HHT) method to detect low pitch musical signals within a short analysis temporal window for real-time fundamental frequency estimation. HHT is a non-linear method which is suitable for the analysis of non-stationary AM/FM like data. However, to apply HHT directly to music signals encounters several problems. Here, we modify HHT so that it can be tailored to the short-window pitch analysis. It is shown by experimental results that the proposed HHT method performs significantly better than several benchmark schemes.
Keywords :
Hilbert transforms; acoustic signal detection; frequency estimation; music; fundamental frequency estimation; low pitch musical signal detection; modified Hilbert-Huang transform method; music signal processing; nonlinear method; nonstationary AM-FM analysis; short analysis temporal window; short-window pitch analysis; Autocorrelation; Frequency estimation; Image analysis; Image processing; Instruments; Multiple signal classification; Music information retrieval; Signal analysis; Signal processing; Speech recognition; Hilbert-Huang transform; emprical mode decomposition; fundamental frequency estimation; music signal processing; pitch analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
Conference_Location :
New York, NY
ISSN :
1945-7871
Print_ISBN :
978-1-4244-4290-4
Electronic_ISBN :
1945-7871
Type :
conf
DOI :
10.1109/ICME.2009.5202503
Filename :
5202503
Link To Document :
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