Query by humming with the vocalsearch system

被引:18
|
作者
Birmingham, William [1 ]
Dannenberg, Roger
Pardo, Bryan
机构
[1] Grove City Coll, Dept Comp Sci, Grove City, PA 16125 USA
[2] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA
[3] Northwestern Univ, Dept Comp Sci, Evanston, IL USA
[4] Northwestern Univ, Sch Mus, Evanston, IL USA
关键词
(Edited Abstract);
D O I
10.1145/1145287.1145313
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Systems able to find a song based on a sung, hummed, or whistled melody are called query by humming (QBH), and are used by the VocalSearch systems. The system provides performance with the best current systems and involves a simple design and user interface. Queries are in the form of a user-supplied melody, theme, hook, instrumental riff, or some other memorable part of a piece. The typical QBH melody-comparison techniques, string alignment, n-grams, Markov models, dynamic time warping, compare monophonic melodies in the database to a monophonic query. Each song in VocalSearch's database is represented by a theme for the verse and a different theme for the chorus. The QBH system considers tens of thousands of themes. VocalSearch uses a probabilistic string-alignment algorithm to measure similarity between targets and queries. The melodic encoding used for queries and targets has a strong effect on the kinds of errors a QH system can handle.
引用
收藏
页码:49 / 52
页数:4
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