Extraction of groove feelings from drum data using non-negative matrix factorization

Extraction of groove feelings from drum data using non-negative matrix factorization
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使用非负矩阵分解从鼓数据中提取凹槽感觉

DOI:
10.1109/scis-isis.2012.6505312
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发表时间:
2012
期刊:
The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems
影响因子:
--
通讯作者:
T. Tokunaga
T. Tokunaga
中科院分区:
--
文献类型:
--
作者:
Y. Ohya;Kazuyuki Nakamura;T. Tokunaga

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本文提出了一种从滚筒数据中提取凹槽感觉的算法。在以往的研究中,沟槽感觉的提取需要预先分离声源。我们利用非负矩阵分解(NMF)从混合了多个声源的单声道数据中分离出关于命中时间的信息。将我们的算法应用于鼓的数据,得到了不同仪器之间的时间波动的差异,这与凹槽的感觉和印象有关。实验结果表明,该算法能够提取出打鼓细微差别的一些敏感差异。
In this paper, we propose the algorithm to extract the groove feeling from drum data. In the previous researches, extraction of the groove feeling requires pre-separated acoustic sources. We employed non-negative matrix factorization (NMF) to make separated information on hitting time from monaural wave data in which multiple acoustic sources are mixed. We applied our algorithm to a drum data and obtained a difference of time fluctuations among instruments, which relates to groove feeling and impression. The result implies that the proposed algorithm can extract some sensitive differences of nuance of drumming.
DOI: --
发表时间: 2007
期刊: --
影响因子: --
作者:
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通讯作者: S. Raczynski;Nobutaka Ono;S. Sagayama
DOI: 10.1038/44565
发表时间: 1999-10-21
期刊: NATURE
影响因子: 64.8
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