【24h】

Multi-Feature Beat Tracking

机译:多功能节拍跟踪

获取原文
获取原文并翻译 | 示例

摘要

A recent trend in the field of beat tracking for musical audio signals has been to explore techniques for measuring the level of agreement and disagreement between a committee of beat tracking algorithms. By using beat tracking evaluation methods to compare all pairwise combinations of beat tracker outputs, it has been shown that selecting the beat tracker which most agrees with the remainder of the committee, on a song-by-song basis, leads to improved performance which surpasses the accuracy of any individual beat tracker used on its own. In this paper we extend this idea towards presenting a single, standalone beat tracking solution which can exploit the benefit of mutual agreement without the need to run multiple separate beat tracking algorithms. In contrast to existing work, we re-cast the problem as one of selecting between the beat outputs resulting from a single beat tracking model with multiple, diverse input features. Through extended evaluation on a large annotated database, we show that our multi-feature beat tracker can outperform the state of the art, and thereby demonstrate that there is sufficient diversity in input features for beat tracking, without the need for multiple tracking models.
机译:在音乐音频信号的节拍跟踪领域中的最新趋势是探索用于测量节拍跟踪算法委员会之间的一致和分歧水平的技术。通过使用拍子跟踪评估方法比较拍子跟踪器输出的所有成对组合,已显示出,在逐首歌曲的基础上选择与委员会其余成员最一致的拍子跟踪器,可以改善演奏效果,超越任何单独使用的节拍跟踪器的准确性。在本文中,我们将这一思想扩展为提供一个单独的独立拍子跟踪解决方案,该解决方案可以利用相互同意的好处,而无需运行多个单独的拍子跟踪算法。与现有工作相反,我们将问题重铸为在具有多个不同输入功能的单个拍子跟踪模型所产生的拍子输出之间进行选择的问题之一。通过在大型带注释的数据库上进行扩展评估,我们证明了我们的多功能节拍跟踪器可以超越现有技术,从而证明在输入特征方面有足够的多样性可用于节拍跟踪,而无需多个跟踪模型。

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