...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Chemistry and Chemical Engineering >Classification of Musical Instruments using Wavelet Transform
【24h】

Classification of Musical Instruments using Wavelet Transform

机译：基于小波变换的乐器分类

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Musical instrument classification provides a framework for developing and evaluating features for any type of content-based analysis of musical signals. Signal is subjected to wavelet decomposition. A suitable wavelet is selected for decomposition. In our work for decomposition we used Wavelet Packet transform. After the wavelet decomposition, some sub band signals can be analyzed, particular band can be representing the particular characteristics of musical signal. Finally these wavelet features set were formed and then musical instrument will be classified by using suitable machine learning algorithm (classifier). In this paper, the problem of classifying of musical instruments is addressed. We propose a new musical instrument classification method based on wavelet represents both local and global information by computing wavelet coefficients at different frequency sub bands with different resolutions. Using wavelet packet transform (WPT) along with advanced machine learning techniques, accuracy of music instrument classification has been significantly improved.
机译：乐器分类为任何类型的基于内容的音乐信号分析提供了开发和评估功能的框架。信号经过小波分解。选择合适的小波进行分解。在分解工作中，我们使用了小波包变换。小波分解后，可以分析一些子带信号，特定的频带可以代表音乐信号的特定特征。最终形成这些小波特征集，然后使用合适的机器学习算法（分类器）对乐器进行分类。在本文中，解决了乐器分类的问题。我们提出了一种新的基于小波的乐器分类方法，该方法通过计算不同分辨率的不同子频带上的小波系数来表示本地信息和全局信息。使用小波包变换（WPT）以及先进的机器学习技术，乐器分类的准确性得到了显着提高。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号