DocumentCode
2936736
Title
Introducing the Discrete Morphlet Transform and its Applications for Voice Conversion
Author
Vieira, Lucimar Sasso ; Guido, Rodrigo Capobianco ; Chen, Shi-Huang
Author_Institution
Univ. of Sao Paulo at Sao Carlos, Sao Carlos, Brazil
fYear
2011
fDate
5-7 Dec. 2011
Firstpage
530
Lastpage
532
Abstract
This paper introduces Morphlet, a new wavelet transform adapted for voice conversion purposes. The paradigm of joint time-frequency-shape analysis of discrete-time signals, possible by means of the Discrete Shape let Transform (DST), is the basis used for the construction of Morphlets. The results assure the efficacy of the proposed transform, which is able, by itself and with the help of no other tool such as a neural network, to carry out the task, totally.
Keywords
discrete wavelet transforms; speech processing; discrete morphlet transform; discrete shapelet transform; discrete-time signal; joint time-frequency-shape analysis; neural network; voice conversion; wavelet transform; Equations; Finite impulse response filter; Mathematical model; Shape; Training; Wavelet transforms; Discrete Shapelet Transform; Morphlets; Voice Conversion; Wavelets;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia (ISM), 2011 IEEE International Symposium on
Conference_Location
Dana Point CA
Print_ISBN
978-1-4577-2015-4
Type
conf
DOI
10.1109/ISM.2011.93
Filename
6123401
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