A Survey of Polyphonic Sound Event Detection Based on Non-negative Matrix Factorization

被引：0
|
作者：
Manh-Quan Bui [1 ]
Viet-Hang Duong [1 ]
Mathulaprangsan, Seksan [1 ]
Bach-Tung Pham [1 ]
Lee, Wei-Jing [1 ]
Wang, Jia-Ching [1 ]
机构：
[1] Natl Cent Univ, Dept Comp Sci & Informat Engn, Jhongli, Taiwan
来源：
2016 INTERNATIONAL COMPUTER SYMPOSIUM (ICS) | 2016年
关键词：
Non-negative matrix factorization; convolutive non-negative matrix factorization; sound event detection; RECOGNITION;
D O I：
10.1109/ICS.2016.76
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Nowadays, sound event detection (SED) is a popular study in machine listening area. Detecting overlapping sound events, in which many sound events occur simultaneously, is challenging and interesting topic. Besides, non-negative matrix factorization (NMF) and its derived methods are suitably used to perform SED. This paper presents a survey of recent approaches in SED based on NMF methods that provides the understanding and strategies for detecting polyphonic sound events.
引用
收藏
页码：351 / 354
页数：4
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