Parallel Training of Neural Networks for Speech Recognition

被引：0
|
作者：
Vesely, Karel [1 ]
Burget, Lukas [1 ]
Grezl, Frantisek [1 ]
机构：
[1] Brno Univ Technol, Speech FIT, Brno 61266, Czech Republic
来源：
TEXT, SPEECH AND DIALOGUE | 2010年 / 6231卷
关键词：
neural network; phoneme classification; posterior features; backpropagation training; data parallelization;
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：
The feed-forward multi-layer neural networks have significant importance in speech recognition. A new parallel-training tool TNet was designed and optimized for multiprocessor computers. The training acceleration rates are reported on a phoneme-state classification task.
引用
收藏
页码：439 / 446
页数：8
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