DocumentCode
2798619
Title
Speech Unit Selection Based on Matching Pursuit
Author
Hosseinpour, M. ; Ranjbar, M.N. ; Mousavinejad, M.
Author_Institution
Iran Telecommun. Res. Center, Tehran
fYear
2007
fDate
13-16 May 2007
Firstpage
535
Lastpage
538
Abstract
This paper introduces a new method based on Matching Pursuit for speech unit selection. We used the Matching Pursuit transform parameters with a comparison algorithm to find the best match for a selected unit in a Text-To-Speech system based on concatenation. We chose Gabor atoms. Also Wigner-Ville distribution implemented for the time-frequency presentation of the transform and we used image processing approach to compare these time-frequency presentations of the acoustic units. On a database of 42 units 92% accuracy was obtained.
Keywords
Wigner distribution; acoustic signal processing; image matching; speech synthesis; time-frequency analysis; Gabor atoms; Wigner-Ville distribution; image processing approach; matching pursuit; speech unit selection; text-to-speech system; time-frequency presentation; Acoustic waves; Concatenated codes; Electronic mail; Image databases; Image processing; Matching pursuit algorithms; Multimedia computing; Pursuit algorithms; Speech synthesis; Time frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Systems and Applications, 2007. AICCSA '07. IEEE/ACS International Conference on
Conference_Location
Amman
Print_ISBN
1-4244-1030-4
Electronic_ISBN
1-4244-1031-2
Type
conf
DOI
10.1109/AICCSA.2007.370933
Filename
4231008
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