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
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;
Conference_Titel :
Multimedia (ISM), 2011 IEEE International Symposium on
Conference_Location :
Dana Point CA
Print_ISBN :
978-1-4577-2015-4
DOI :
10.1109/ISM.2011.93
