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

页码：833 / 836

页数：4

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