%0 Journal Article
%T Robust Feature Based on Speech Harmonic Structure for Speaker Identification<br>基于语音谐波结构的鲁棒特征参数及其在说话人识别中的应用
%A Zhang Ling-hua
%A Zheng Bao-yu
%A Yang Zhen
%A <br>张玲华
%A 郑宝玉
%A 杨 震
%J 电子与信息学报
%D 2006
%I 
%X An effective and robust speech feature extraction method based on pitch frequency and harmonic structure is proposed by means of short-time spectrum analysis of clear and noisy speech. Experimental results indicate that the new feature is relatively insensitive to Additive White Gaussian Noise (AWGN). Compared to conventional cepstrums, the new feature can give outstanding improvement for closed-set text-independent speaker identification under noisy environments corrupted by AWGN.
%K Speaker identification
%K Short-time spectrum
%K Harmonic feature
%K Pitch frequency<br>说话人识别
%K 短时谱
%K 谐波特征
%K 基音频率
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=2C9753242B3D9B1E&yid=37904DC365DD7266&vid=D3E34374A0D77D7F&iid=F3090AE9B60B7ED1&sid=D324B2A670A93426&eid=2FA47D7E22372F11&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=12