Real-Time Pitch Tracking using the eCate Algorithm
Identifieur interne : 002A49 ( Main/Exploration ); précédent : 002A48; suivant : 002A50Real-Time Pitch Tracking using the eCate Algorithm
Auteurs : Fadoua Bahja [Maroc] ; Joseph Di Martino [France] ; El Hassan Ibn Elhaj [Maroc]Source :
Abstract
This paper deals with the determination in real-time of the fundamental frequency F0 of speech signals using an enhanced version of the CATE algorithm. The voiced / unvoiced decision as well as pitch determination is realized in real-time. Our approach was tested with the Bagshaw database of the Center for Speech Technology Research at Edinburgh. The presented algorithm, besides being able to work in real time, provides comparable or better results than those obtained by eSRPD, CATE or ALS algorithms.
Url:
DOI: 10.1109/ISVC.2010.5656254
Affiliations:
- France, Maroc
- Grand Est, Lorraine (région)
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
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Le document en format XML
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<front><div type="abstract" xml:lang="en">This paper deals with the determination in real-time of the fundamental frequency F0 of speech signals using an enhanced version of the CATE algorithm. The voiced / unvoiced decision as well as pitch determination is realized in real-time. Our approach was tested with the Bagshaw database of the Center for Speech Technology Research at Edinburgh. The presented algorithm, besides being able to work in real time, provides comparable or better results than those obtained by eSRPD, CATE or ALS algorithms.</div>
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