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Robust tracking of glottal LF-model parameters by multi-estimate fusion

Li, Haoxuan, O'Brien, Darragh and Scaife, Ronan (2012) Robust tracking of glottal LF-model parameters by multi-estimate fusion. In: 20th European Signal Processing Conference (EUSIPCO 2012), 27-31 Aug 2012, Bucharest, Romania. ISBN 978-1-4673-1068-0

Abstract
A new approach to robust tracking of glottal LF-model parameters is presented. The approach does not rely on a new glottal source estimation algorithm, but instead introduces a new extensible multi-estimate fusion framework. Within this framework several existing algorithms are applied in parallel to extract glottal LF-model parameter estimates which are subsequently passed to quantitative data fusion procedures. The preliminary implementation of the fusion algorithm described here incorporates three glottal inverse filtering methods and one time-domain LF-model fitting algorithm. Experimental results for both synthetic and natural speech signals demonstrate the effectiveness of the fusion algorithm. The proposed method is flexible and can be easily extended for other speech processing applications such as speech synthesis, speaker identification and prosody analysis.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:LF-model; glottal source; data fusion
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/6334060
Copyright Information:© 2012 The Authors
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:China Scholarship Council and the European Regional Development Fund (ERDF)
ID Code:25794
Deposited On:23 Apr 2021 12:39 by Darragh O'brien . Last Modified 23 Apr 2021 12:39
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