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
Link To Document :
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