Multi-Channel Maximum Likelihood Pitch Estimation

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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.
Original languageEnglish
Title of host publication2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Number of pages4
Volume2012
PublisherIEEE
Publication date2012
Pages409-412
ISBN (Print)978-1-4673-0046-9
DOIs
Publication statusPublished - 2012
Event2012 IEEE International Conference on Acoustics, Speech and Signal Processing - Kyoto, Japan
Duration: 25 Mar 201230 Mar 2012

Conference

Conference2012 IEEE International Conference on Acoustics, Speech and Signal Processing
CountryJapan
CityKyoto
Period25/03/201230/03/2012
SeriesI E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
ISSN1520-6149

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