DocumentCode
3144529
Title
Multi-channel maximum likelihood pitch estimation
Author
Christensen, Mads Grasboll
Author_Institution
Dept. of Archit., Design & Media Technol., Aalborg Univ., Aalborg, Denmark
fYear
2012
fDate
25-30 March 2012
Firstpage
409
Lastpage
412
Abstract
In this paper, a method for multi-channel pitch estimation is proposed. The method is a maximum likelihood estimator and is based on a parametric model where the signals in the various channels share the same fundamental frequency but can have different amplitudes, phases, and noise characteristics. This essentially means that the model allows for different conditions in the various channels, like different signal-to-noise ratios, microphone characteristics and reverberation. Moreover, the method does not assume that a certain array structure is used but rather relies on a more general model and is hence suited for a large class of problems. Simulations with real signals shows that the method outperforms a state-of-the-art multi-channel method in terms of gross error rate.
Keywords
maximum likelihood estimation; microphone arrays; reverberation; fundamental frequency; microphone characteristics; multichannel maximum likelihood pitch estimation; parametric model; reverberation; signal-to-noise ratio; Channel estimation; Frequency estimation; Harmonic analysis; Maximum likelihood estimation; Noise; Speech; Pitch estimation; microphone arrays; multi-channel audio;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location
Kyoto
ISSN
1520-6149
Print_ISBN
978-1-4673-0045-2
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2012.6287903
Filename
6287903
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