计算机应用与软件2012，Vol.29Issue(1)：46-48,77,4.
基于GMM-UBM/SVM的维吾尔语电话语音监控系统
TELEPHONE SPEECH MONITORING SYSTEM BASED ON GMM-UBM/SVM FOR UIGHUR LANGUAGE
摘要
Abstract
Abstract In this paper we discuss a telephone speech monitoring system based on GMM-UBM/SVM. GMM is a method commonly used in speaker recognition system. But its accuracy of recognition will be impacted because of the voice monitored is short in time, and the telephone-internet terminals as well as transmission lines have big background noise. In our research we put into full play the robustness of GMM and the advantage of SVM in its perfect discrimination on small quantity static data in designing the telephone speech monitoring system and have discussed the performance of the system with Uighur. For comparison, we also discussed the recognitions with vector quantisation ( VQ), weighted VQ (WVQ) and base line. The proposed method improves the recognition rate to 20. 2% higher than VQ' s and 16. 7% higher than WVQ' s respectively for every 10 seconds test speech out of 20 seconds voice in a training set of 50 target speakers.关键词
电话语音监控/说话人识别/维吾尔语/GMM-UBM/SVMKey words
Telephone speech monitoring/Speaker recognition/Uighur language/GMM-UBM/SVM分类
信息技术与安全科学引用本文复制引用
李晓阳,伊·达瓦,吾守尔·斯拉木,勾坂芳典..基于GMM-UBM/SVM的维吾尔语电话语音监控系统[J].计算机应用与软件,2012,29(1):46-48,77,4.基金项目
国家自然科学基金项目(60762006,60863008) （60762006,60863008）
国家语委重点项目(MZ115-75). （MZ115-75）
