%0 Journal Article %T Robust algorithm for speech feature extraction based on wavelet transform
一种鲁棒的基于小波变换的语音参数提取算法 %A WU Xiang %A TANG Huan-hua %A LIU Jin-gao %A
吴翔 %A 唐焕华 %A 刘锦高 %J 计算机应用研究 %D 2008 %I %X This paper proposed a novel approach for speech feature extraction, which promoted the robustness of speech recog-nition to noise. Wavelet transform was adopted to get both highest temporal resolution and frequency resolution in different po-sition. So the algorithm not only yield accurate measurements, but also exhibit a low computational cost. The experiment com-pared traditional MFCC algorithm and this method, results demonstrate that the proposed algorithm is robust and efficient for applications in speech recognition. %K speech recognition %K discrete wavelet translation %K Hamming window %K dynamic time warping
:语音识别 %K 离散小波变换 %K 汉明窗 %K 动态时间弯折算法 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=EB99E74BCE87D2CEDE7FEDBAED11B702&yid=67289AFF6305E306&vid=C5154311167311FE&iid=F3090AE9B60B7ED1&sid=0FAD8EACEE296677&eid=96683AE34DB660BD&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=19