电子学报2012，Vol.40Issue(7)：1481-1488,8.DOI:10.3969/j.issn.0372-2112.2012.07.032
基于非线性动力学的乐器分类方法
The Musical Instrument Classification Algorithm Based on Nonlinear Dynamics
摘要
Abstract
In this paper, the phase space reconstruction of audio time sequences producing by different instruments is discussed based on the nonlinear dynamic theory. The dense ratio, a novel quantitative recurrence parameter, is proposed to describe the difference of wind, string and keyboard instruments in the phase space by analyzing the recursive property of every instrument. In addition, a method of musical instrument family classification is developed using several classification models by combining the dense ratio with traditional timbre features. The experiments indicate that the accuracy of the proposed method is improved by 4% -7% and 3% in the instrument family classification and individual instrument classification,respectively.关键词
乐器分类/非线性动力学/相空间重构/密集度/递归图Key words
musical instrument classification/ nonlinear dynamic theory/ phase space reconstruction/ dense ratio/ recurrence plot分类
信息技术与安全科学引用本文复制引用
芮瑞,鲍长春..基于非线性动力学的乐器分类方法[J].电子学报,2012,40(7):1481-1488,8.基金项目
国家自然科学基金(No.60872027,No.61072089) （No.60872027,No.61072089）
北京市教育委员会科技计划重点项目(No.KZ201110005005) （No.KZ201110005005）
北京市属高等学校人才强教计划 （）
