%0 Journal Article
%T Adaptive whitening for real-time music beat tracking<br>基于自适应白化的音乐节拍实时跟踪算法*
%A WANG Yue
%A XIE Lei
%A YANG Yu-lian
%A <br>王跃
%A 谢磊
%A 杨玉莲
%J 计算机应用研究
%D 2009
%I 
%X This paper proposed an adaptive-whitening-based real-time algorithm for music beat tracking, introduced adaptive whitening into onset detection phase of a music beat tracker. It preprocessed the STFT frames by adaptively normalizing the magnitude of each bin according to a present spectral peak table. This allowed each magnitude bin to achieve a similar dynamic range over time and improved onset detection performance for music with spectral roll-off effects and strongly varying dynamics. Experimental results on the MIREX 2006 dataset shows that the proposed adaptive-whitening-based beat tracker achieves superior performance and it can significantly improve the P-scores for music samples with strongly-varying dynamics.
%K music beat tracking
%K adaptive whitening
%K onset detection
%K real-time<br>音乐节拍跟踪
%K 自适应白化
%K 触发点检测
%K 实时
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=A84F2E7A6CB172C2653E0988AC75CD7D&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=94C357A881DFC066&sid=937C5AD88B71B15A&eid=B8EB5038D77D4BBF&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=8