Neural network for speaker recognition of PCA technology

doi:10.3778/j.issn.1002-8331.2010.19.061

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (19): 211-213.DOI: 10.3778/j.issn.1002-8331.2010.19.061

• 工程与应用 • Previous Articles Next Articles

Neural network for speaker recognition of PCA technology

YU Li-qiang^1，2，MA Dao-jun^1，2

1.College of Communication Engineering，Xidian University，Xi’an 710071，China
2.Beijing Electronic Science and Technology Institute，Beijing 100070，China

Received:2008-10-06 Revised:2010-03-01 Online:2010-07-01 Published:2010-07-01
Contact: YU Li-qiang

基于PCA技术的神经网络说话人识别研究

俞利强^1，2，马道钧^1，2

1.西安电子科技大学通信工程学院，西安710071
2.北京电子科技学院计算机科学与技术系，北京100070

通讯作者: 俞利强

Abstract

Abstract: For BP neural network on speaker recognition by extracting the entire multi-dimensional voice characteristic parameters
brought the recognition rate and the network stability problems.This paper proposes a new method of Principal
Components Analysis（PCA） on voice character parameters which used in BP.The new characters parameters can enhance the
recognition rate and training speed.This method can enhance the BP speaker recognition efficiency.

摘要： 针对当提取以整段语音的多维语音特征参数为BP 神经网络输入而带来的说话人识别率和网络训练稳定性的问题，提出了一种用于BP 网络的基于主分量分析的PCA新方法。将该方法得到的降维语音特征参数用于BP 网络中，其识别率和训练速度都得到较大提高，使得基于BP 神经网络的说话人识别得到更好效果。

CLC Number:

TP391

YU Li-qiang^1，2，MA Dao-jun^1，2. Neural network for speaker recognition of PCA technology[J]. Computer Engineering and Applications, 2010, 46(19): 211-213.

俞利强^1，2，马道钧^1，2. 基于PCA技术的神经网络说话人识别研究[J]. 计算机工程与应用, 2010, 46(19): 211-213.

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Neural network for speaker recognition of PCA technology

基于PCA技术的神经网络说话人识别研究

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