Title :
Selection of Optimal Feature Set in Phoneme Duration Modeling
Author_Institution :
Elektrik ve Elektronik Mü
fDate :
6/28/1905 12:00:00 AM
Abstract :
In order to increase the intelligibility and naturalness of synthetic speech, the prosodic entities such as segmental duration, pitch, and energy should be modeled appropriately. This study presents determination of the optimal feature subset for modeling segmental duration in Turkish using classification and regression trees (CART) based on feature selection methods
Keywords :
"Speech","Regression tree analysis","Filters"
Conference_Titel :
Signal Processing and Communications Applications, 2006 IEEE 14th
Print_ISBN :
1-4244-0238-7
DOI :
10.1109/SIU.2006.1659801