Selection of optimal feature set in phoneme duration modeling

被引：0
|
作者：
Ozturk, Ozlem [1 ]
Ciloglu, Tolga [1 ]
机构：
[1] Dokuz Eylul Univ, Elekt & Elekt Muhendisligi Bolumu, Izmir, Turkey
来源：
2006 IEEE 14TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS, VOLS 1 AND 2 | 2006年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to increase the intelligibility and naturalness of synthetic speech, the prosodic entities such as segmental duration, pitch, and energy should be modelled 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.
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页码：686 / +
页数：3
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