@inproceedings{c2f9b85f719d4d8babf871af4bfd58e0,
title = "Voice tranformation using PSOLA technique",
abstract = "Whereas speaker adaptation has received much attention for speech recognition, few studies have been devoted to voice transformation for speech synthesis, despite the potential interest of such techniques. We propose in this paper a voice conversion system which combines the TD-PSOLA technique with a source-filter decomposition. The first technique allows prosodic modifications while the second enables spectral envelope transformations. Two approaches to learn spectral alteration are compared: the Linear Multivariate Regression (LMR) and the Dynamic Frequency Warping (DFW).",
author = "H. Valbret and E. Moulines and Tubach, \{J. P.\}",
note = "Publisher Copyright: {\textcopyright} 1992 IEEE.; 1992 International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992 ; Conference date: 23-03-1992 Through 26-03-1992",
year = "1992",
month = jan,
day = "1",
doi = "10.1109/ICASSP.1992.225951",
language = "English",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "145--148",
booktitle = "ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing",
}