连续旋律轮廓相似度匹配的旋律数据库哼唱查询

Yongwei Zhu, M. Kankanhalli, Q. Tian
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引用次数: 20

摘要

基于哼歌的音乐查询是一个具有挑战性的问题,因为哼歌查询不可避免地包含许多变化和不准确性。本文提出了一种基于连续旋律轮廓的旋律相似度匹配方法。我们介绍了一种轮廓对准技术,它解决了鲁棒性和效率问题。我们还提出了一种新的旋律相似度度量,该度量直接对查询数据的连续旋律轮廓执行。该方法在检索过程中清晰地分离了比对和相似度度量。我们的旋律对齐方法可以将匹配候选者减少到1.7%,正确对齐率为90%。整个检索系统在前20个排名列表中实现了88%的正确检索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Similarity matching of continuous melody contours for humming querying of melody databases
Music query-by-humming is a challenging problem since the humming query inevitably contains much variation and inaccuracy. In this paper, we present a novel melody similarity matching technique, which is based on continuous melody contour. We introduce a contour alignment technique, which addresses the robustness and efficiency issues. We also present a new melody similarity metric, which is performed directly on continuous melody contours of the query data. This approach cleanly separates the alignment and similarity measurement in the retrieval process. Our melody alignment method can reduce the matching candidate to 1.7% with 90% correct alignment rate. The overall retrieval system achieved 88% correct retrieval in the top 20 rank lists.
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