An Implementation of Decision Tree-Based Context Clustering on Graphics Processing Units

被引：0
|
作者：
Pilkington, Nicholas [1 ]
Zen, Heiga [1 ]
机构：
[1] Toshiba Res Europe Ltd, Cambridge Res Lab, Cambridge, England
来源：
11TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2010 (INTERSPEECH 2010), VOLS 1-2 | 2010年
关键词：
HMM-based speech synthesis; decision tree-based context clustering; GPU;
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：
Decision tree-based context clustering is essential but time-consuming while building HMM-based speech synthesis systems. Its widely used implementation is not designed to take advantage of highly parallel architectures, such as GPUs. This paper shows an implementation of tree-based clustering for these highly parallel architectures. Experimental results showed that the new implementation running on GPUs was significantly faster than the conventional one running on CPUs.
引用
收藏
页码：833 / 836
页数：4
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