Real-time beat estimation using feature extraction

被引：0
|
作者：
Jensen, K [1 ]
Andersen, TH [1 ]
机构：
[1] Univ Copenhagen, Dept Comp Sci, DK-2100 Copenhagen, Denmark
来源：
COMPUTER MUSIC MODELING AND RETRIEVAL | 2004年 / 2771卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a novel method for the estimation of beat interval from audio files. As a first step, a feature extracted from the waveform is used to identify note onsets. The estimated note onsets are used as input to a beat induction algorithm, where the most probable beat interval is found. Several enhancements over existing beat estimation systems are proposed in this work, including methods for identifying the optimum audio feature and a novel weighting system in the beat induction algorithm. The resulting system works in real-time, and is shown to work well for a wide variety of contemporary and popular rhythmic music. Several real-time music control systems have been made using the presented beat estimation method.
引用
收藏
页码：13 / 22
页数：10
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