计算机工程与应用Issue(20)：207-210,4.DOI:10.3778/j.issn.1002-8331.1402-0161
改进运用深度置信网络的语音端点检测方法
Improved use of deep belief networks for voice activity detection
摘要
Abstract
Focusing on existing methods are too complicated and in order to make better use of the deep belief networks for voice activity detection, an improved voice spectrum as deep belief networks’input is used in this paper. Simulation experiments use TIMIT corpus with the Matlab, experimental results verify the validity of the method, and show that this method has higher detection accuracy percentage of the examination than existing methods in Babble environments.关键词
语音端点检测/深度置信网络/快速傅里叶变换/语音信号处理Key words
voice activity detection/deep belief networks/fast Fourier transform/speech signal processing分类
信息技术与安全科学引用本文复制引用
田旺兰,李加升..改进运用深度置信网络的语音端点检测方法[J].计算机工程与应用,2014,(20):207-210,4.基金项目
湖南省科技计划项目（No.2012FJ3025）。 （）
