A Fast Query by Humming System Based on Notes

被引：0
|
作者：
Yang, Jingzhou [1 ]
Liu, Jia [1 ]
Zhang, Wei-Qiang [1 ]
机构：
[1] Tsinghua Univ, Dept Elect Engn, Tsinghua Natl Lab Informat Sci & Technol, Beijing 100084, Peoples R China
来源：
11TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2010 (INTERSPEECH 2010), VOLS 3 AND 4 | 2010年
关键词：
query by humming (QBH); musical information retrieval (MIR); note-based linear scaling (NLS); note-based recursive align (NRA);
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Query by humming (QBH), a content-based retrieval method, is an efficient way to search the song from a large database. The frame-based systems can achieve a good performance, but it is time-consuming. In this paper, we proposed an efficient note-based system, which is mainly comprised of noted-based linear scaling (NLS) and noted-based recursive align (NRA). The system after post-processing can achieve 96.1% in Top5 and 0.211s in time.
引用
收藏
页码：2898 / 2901
页数：4
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