Two-Stage Speech/Non-Speech Classification of Telephone Signals

摘要：

Robust speech/non-speech classification is very useful in the pre-processing stage for speech recognition and content-based audio retrieval where the database is composed of various audio files. In this paper, a two-stage speech/nonspeech classification algorithm for telephone signals is provided by combining three simple methods. Short-time energy plus pitch period is used in the first stage and the output is well classified at the second stage which applies the AdaBoost algorithm and MFCC features. Experiments show the effectiveness and efficiency of the algorithm.

作者: Li Jian-bin Yan Ji-kun Zheng Hui Niu Zhong-xia

作者单位: South-west Electronics and Telecommunication Technology Research Institute,Chengdu 610041, P.R.China Dept. of Communication Engineering Information Engineering University Zhengzhou 450002, P.R.China

会议类型: 国际会议

会议名称: 2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)

会议地点: 广西桂林

会议语种:英文

页码: 490-492

在线出版日期: 2006-06-25（万方平台首次上网日期，不代表论文的发表时间）