维吾尔语广播新闻连续语音敏感词检索系统

摘要

First,this paper introduces the design a corpus based on Uighur news of Xinjiang Broadcast Station. And then,Training the HMM for this corpus. In this step,introduces Word Segmentation,Feature Extraction,Vector Quantization,Codebook,HMM Training etc. Finally,use the corpus and training model implements HMM based Uyghur broadcast news continues speech Sensitive-word spotting and give the conclusion of the test.%首先介绍语音信号来源于新疆人民广播电台维吾尔语新闻的敏感词语音语料库的建设.然后用该语料库进行基于HMM的模型训练.模型训练中详细介绍识别基元端点检测、特征提取、矢量量化、码本构建、HMM模型训练过程和结果.最后用该语料库和HMM训练模型对维吾尔语广播新闻连续语音信号进行敏感词检索,并对检索结果进行分析.