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Automatic LF-model fitting to the glottal source waveform by extended Kalman filtering

Li, Haoxuan, Scaife, Ronan and O'Brien, Darragh (2012) Automatic LF-model fitting to the glottal source waveform by extended Kalman filtering. In: 20th European Signal Processing Conference (EUSIPCO 2012), 27-31 Aug 2012, Bucharest, Romania. ISBN 978-1-4673-1068-0

Abstract
A new method for automatically fitting the Liljencrants-Fant (LF) model to the time domain waveform of the glottal flow derivative is presented in this paper. By applying an extended Kalman filter (EKF) to track the LF-model shape-controlling parameters and dynamically searching for a globally minimal fitting error, the algorithm can accurately fit the LF-model to the inverse filtered glottal flow derivative. Experimental results show that the method has better performance for both synthetic and real speech signals compared to a standard time-domain LF-model fitting algorithm. By offering a new method to estimate the glottal source LF-model parameters, the proposed algorithm can be utilised in many applications.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:LF-model; glottal source; extended Kalman filter
Subjects:Computer Science > Machine learning
Engineering > Signal processing
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > Research Institute for Networks and Communications Engineering (RINCE)
Published in: 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO). . IEEE. ISBN 978-1-4673-1068-0
Publisher:IEEE
Official URL:https://ieeexplore.ieee.org/document/6334033/autho...
Copyright Information:© 2012 The Authors
Funders:China Scholarship Council and the European Regional Development Fund (ERDF)
ID Code:25793
Deposited On:22 Apr 2021 16:14 by Darragh O'brien . Last Modified 23 Apr 2021 12:37
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