DocumentCode
3410572
Title
Real-time pitch tracking using the eCATE algorithm
Author
Bahja, Fadoua ; Di Martino, Joseph ; Ibn Elhaj, El Hassane
Author_Institution
Lab. LRIT Unite associee, CNRST, Rabat, Morocco
fYear
2010
fDate
Sept. 30 2010-Oct. 2 2010
Firstpage
1
Lastpage
4
Abstract
This paper deals with the determination in real-time of the fundamental frequency FO 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.
Keywords
real-time systems; speech processing; Bagshaw database; eCATE algorithm; pitch determination; real-time pitch tracking; speech signal; voiced/unvoiced decision; Correlation; Databases; Heuristic algorithms; Real time systems; Signal processing algorithms; Speech; Speech processing; CATE signal; circular autocorrelation; pitch tracking; real-time; temporal excitation signal;
fLanguage
English
Publisher
ieee
Conference_Titel
I/V Communications and Mobile Network (ISVC), 2010 5th International Symposium on
Conference_Location
Rabat
Print_ISBN
978-1-4244-5996-4
Type
conf
DOI
10.1109/ISVC.2010.5656254
Filename
5656254
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