Drum sound classification in polyphonic audio recordings using localized sound models
Drum sound classification in polyphonic audio recordings using localized sound models
复制标题
使用本地化声音模型对和弦录音中的鼓声进行分类
DOI：
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复制
发表时间：
2004
期刊：
影响因子：
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通讯作者：
P. Herrera
中科院分区：
文献类型：
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作者：
Vegard Sandvold;F. Gouyon;P. Herrera
本文研究了复调录音中打击乐器的自动分类问题，重点研究了踢音、小军鼓音和钹音。我们提出了一种基于特征的声音建模方法，结合一般的，先验知识的打击乐器的家庭（一般模型）的声音特性与飞行获得的知识，记录特定的声音（本地化模型）。这样，可以用非常简单的声音模型获得高的分类精度。准确度平均比单独使用一般模型高出约20%。
This paper deals with automatic percussion classification in polyphonic audio recordings, focusing on kick, snare and cymbal sounds. We present a feature-based sound modeling approach that combines general, prior knowledge about the sound characteristics of percussion instrument families (general models) with on-the-fly acquired knowledge of recording-specific sounds (localized models). This way, high classification accuracy can be obtained with remarkably simple sound models. The accuracy is on average around 20% higher than with general models alone.