| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 410819 | Neurocomputing | 2007 | 7 Pages |
Abstract
In this letter we propose a new architecture for voice conversion that is based on a joint neural-wavelet approach. We also examine the characteristics of many wavelet families and determine the one that best matches the requirements of the proposed system. The conclusions presented in theory are confirmed in practice with utterances extracted from TIMIT speech corpus.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Rodrigo Capobianco Guido, Lucimar Sasso Vieira, Sylvio Barbon Júnior, Fabrício Lopes Sanchez, Carlos Dias Maciel, Everthon Silva Fonseca, José Carlos Pereira,