Fundamental frequency estimation for music signals with modified Hilbert-Huang transform (HHT)

Authors:
EnShuo Tsau;Namgook Cho;C.-C. Jay Kuo
Affiliations:
Ming Hsieh Department of Electrical Engineering and Signal and Image Processing Institute, University of Southern California, Los Angeles, California;Ming Hsieh Department of Electrical Engineering and Signal and Image Processing Institute, University of Southern California, Los Angeles, California;Ming Hsieh Department of Electrical Engineering and Signal and Image Processing Institute, University of Southern California, Los Angeles, California
Venue:
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Year:
2009

Citing 2
Cited 0

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Computational Auditory Scene Analysis: Principles, Algorithms, and Applications
Multipitch Analysis of Polyphonic Music and Speech Signals Using an Auditory Model

IEEE Transactions on Audio, Speech, and Language Processing

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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.