A tree-based method for fast melodic retrieval

被引：0
|
作者：
Parker, C [1 ]
机构：
[1] Oregon State Univ, Dept Elect Engn & Comp Sci, Corvallis, OR 97330 USA
来源：
JCDL 2004: PROCEEDINGS OF THE FOURTH ACM/IEEE JOINT CONFERENCE ON DIGITAL LIBRARIES: GLOBAL REACH AND DIVERSE IMPACT | 2004年
关键词：
melodic retrieval; query-by-humming;
D O I：
10.1145/996350.996409
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The evolution of aurally queryable melodic databases (so-called query-by-humming systems) has reached a point where retrieval accuracy is relatively high, even at large database sizes. With this accuracy has come a decrease in retrieval speed as methods have become more sophisticated and computationally expensive. In this paper, we turn our attention to heuristically culling songs from our database that are unlikely given a sung query, in hopes that we can increase speed by reducing the number of matching computations necessary to reach the proper target song.
引用
收藏
页码：254 / 255
页数：2
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