计算机工程与应用2013，Vol.49Issue(1)：156-158,3.DOI:10.3778/j.issn.1002-8331.1208-0166
一种新的低俗语音识别方法
New objectionable sounds recognition method
摘要
Abstract
In order to check the spread of objectionable video and sound multimedia information in the internet, this paper proposes an objectionable sound recognition method based on shifted delta cepstral features. The proposed method partitions the input sound signal into frames, and then extracts the shifted delta cepstral features on every frame. The method adopts Gaussian mixture model to preliminary classify the frame. The objectionable frames are verified by Support Vector Machine(SVM). The experimental results demonstrate the proposed method has high accurate recognition rate and low error recognition rate, and can be used to filter the objectionable sounds and videos in the Internet.关键词
不良信息过滤/低俗语音识别/移位差分倒谱参数/高斯混合模型/支持向量机Key words
objectionable information filter/ objectionable sounds recognition/ shifted delta cepstral features/ Gaussian Maxture Model(GMM)/ Support Vector Machine( SVM)分类
信息技术与安全科学引用本文复制引用
周建政..一种新的低俗语音识别方法[J].计算机工程与应用,2013,49(1):156-158,3.基金项目
浙江省科技厅重大专项(No.2010C11049). （No.2010C11049）
