AN UNSUPERVISED AUDIO SEGMENTATION METHOD USING BAYESIAN INFORMATION CRITERION

被引：0

作者：

Ozan, Ezgi Can ^{[1
]}

Tankiz, Seda ^{[2
]}

Acar, Banu Oskay ^{[2
]}

Ciloglu, Tolga ^{[3
]}

机构：

[1] Tampere Univ Technol, Dept Signal Proc, FIN-33101 Tampere, Finland

[2] TUBITAK Space Technol Res Inst, Ankara, Turkey

[3] Middle East Tech Univ, Dept Elect & Elect Engn, Ankara, Turkey

来源：

2014 6TH INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS, CONTROL AND SIGNAL PROCESSING (ISCCSP) | 2014年

关键词：

Audio Segmentation; Bayesian Information Criterion; Energy Based Segmentation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Audio segmentation is a well-known problem which can be considered from various angles. In the context of this paper, audio segmentation problem is to extract small "homogeneous" pieces of audio in which the content does not change in terms of the present audio events. The proposed method is compared with the well-known segmentation method; Bayesian Information Criterion (BIC) based Divide-and-Conquer, in terms of average segment duration and computational complexity.

引用

下载

页码：640 / 643

页数：4

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