Automatic Drum Sound Description for Real-World Music Using Template Adaptation and Matching Methods

Automatic Drum Sound Description for Real-World Music Using Template Adaptation and Matching Methods
复制标题

使用模板适应和匹配方法对真实世界音乐进行自动鼓声描述

DOI:
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发表时间:
2004
期刊:
International Society for Music Information Retrieval Conference
影响因子:
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通讯作者:
HIroshi G. Okuno
HIroshi G. Okuno
中科院分区:
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文献类型:
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作者:
Kazuyoshi Yoshii;Masataka Goto;HIroshi G. Okuno

文献摘要

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本文提出了一种用于真实音乐音频信号的鼓声自动描述系统。我们的系统可以通过在MPEG-7上下文中定义的鼓描述符来表示鼓的开始时间和名称。为了自动描述鼓声,必须在这样的复调信号中识别鼓声。问题是,鼓声的声学特征随着每一首乐曲的不同而不同,因此无法提前为它们准备准确的模板。为了解决这个问题,我们提出了新的模板自适应和模板匹配方法。前一种方法将为每种鼓准备的单个种子模板适应于实际音乐作品中出现的对应的鼓的声音。然后,后一种方法可以通过使用相应的适配模板来检测每个鼓的所有开始。因此,任何乐曲中低音和小军鼓的起始点都可以被识别出来。实验结果表明,流行音乐中低音和军鼓的识别准确率约为90%。最后,我们定义了MPEG7格式的鼓声描述符,并展示了一段流行音乐的鼓声自动描述的例子。关键词:自动描述、复调音乐、鼓声、模板自适应、模板匹配
This paper presents an automatic description system of drum sounds for real-world musical audio signals. Our system can represent onset times and names of drums by means of drum descriptors defined in the context of MPEG-7. For their automatic description, drum sounds must be identified in such polyphonic signals. The problem is that acoustic features of drum sounds vary with each musical piece and precise templates for them cannot be prepared in advance. To solve this problem, we propose new template-adaptation and template-matching methods. The former method adapts a single seed template prepared for each kind of drums to the corresponding drum sound appearing in an actual musical piece. The latter method then can detect all the onsets of each drum by using the corresponding adapted template. The onsets of bass and snare drums in any piece can thus be identified. Experimental results showed that the accuracy of identifying bass and snare drums in popular music was about 90%. Finally, we define drum descriptors in the MPEG-7 format and demonstrate an example of the automatic drum sound description for a piece of popular music. keywords: automatic description, polyphonic music, drum sounds, template-adaptation, template-matching