Real-Time Pitch Tracking using the eCate Algorithm

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.
Type de document :
Communication dans un congrès
5th International Symposium on I/V Communications over fixed and Mobile Networks - ISIVC 2010, Sep 2010, Rabat, Morocco. pp.1-4, 2010, 〈10.1109/ISVC.2010.5656254〉
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https://hal.inria.fr/inria-00545435
Contributeur : Joseph Di Martino <>
Soumis le : vendredi 10 décembre 2010 - 11:07:36
Dernière modification le : jeudi 11 janvier 2018 - 06:19:56

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Fadoua Bahja, Joseph Di Martino, El Hassan Ibn Elhaj. Real-Time Pitch Tracking using the eCate Algorithm. 5th International Symposium on I/V Communications over fixed and Mobile Networks - ISIVC 2010, Sep 2010, Rabat, Morocco. pp.1-4, 2010, 〈10.1109/ISVC.2010.5656254〉. 〈inria-00545435〉

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