A Music Retrieval Method Based on Distribution of Feature Segments
A Music Retrieval Method Based on Distribution of Feature Segments
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DOI：
10.1109/ism.2008.93
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发表时间：
2008-12
期刊：
影响因子：
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通讯作者：
Kazuhisa Ono;Yu Suzuki;K. Kawagoe
中科院分区：
文献类型：
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作者：
Kazuhisa Ono;Yu Suzuki;K. Kawagoe
本文提出了一种基于音乐特征分布的音乐检索方法。在常见的音乐检索方法中，如果查询和检索目标之间的几个特征相似，则检索系统返回查询与检索目标相似。然而，一个问题是音乐中的几个特征被忽略了。如果查询中的其他特征和检索目标有很大不同，则应该将查询和检索目标视为不同类型的音乐。因此，我们计算每个特征在音乐中的重要性。然后，比较特征在查询和检索目标之间的重要性，可以在不忽略多个特征的重要性的情况下检索音乐。在我们的实验评估中，我们可以证实我们所提出的系统具有比基线方法更好的准确率。
In this paper, we propose a music retrieval method based on the distributions of features in the music. In common music retrieval methods, if several features are similar between the query and the retrieval target, the retrieval systems return that the query is similar to the retrieval target. However, a problem is that several features in the music are ignored. If the other features in the query and the retrieval target are quite different, the query and the retrieval target should be treated as different types of music. Therefore, we calculate the importance of each feature in the music. Then, we compare the importance of features between the query and the retrieval target, and we can retrieve the music without ignoring the importance of several features. In our experimental evaluation, we can confirm that our proposed system has better accuracy than the baseline method.