Auditory Features Analysis for BIC-based Audio Segmentation

被引：0
|
作者：
Maka, Tomasz [1 ]
机构：
[1] West Pomeranian Univ Technol, Fac Comp Sci & Informat Technol, Zolnierska 49, PL-71210 Szczecin, Poland
来源：
2014 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND MULTIMEDIA APPLICATIONS (SIGMAP) | 2014年
关键词：
Auditory Features; Audio Segmentation; Delta-BIC 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 one of the stages in audio processing chain whose accuracy plays a primary role in the final performane of the audio recognition and processing tasks. This paper presents an analysis of auditory features for audio segmentation. A set of features is derived from a time-frequency representation of an input signal and has been calculated based on properties of human auditory system. An analysis of several sets of audio features efficiency for BIC-based audio segmentation has been performed. The obtained results show that auditory features derived from different frequency scales are competitive to the widely used MFCC feature in terms of accuracy and the number of detected points.
引用
收藏
页码：48 / 53
页数：6
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