Environment Recognition from Audio Using MPEG-7 Features

G. Muhammad, K. Alghathbar
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引用次数: 18

Abstract

In this paper, we introduce a full use of MPEG-7 Audio features for environment recognition from audio for different multimedia applications. Environment recognition from audio files is a growing area of interest, however, compared to other branches of multimedia it is a less researched one. To recognize environment, we utilize total of 17 temporal and spectral MPEG-7 Audio low- level descriptors as features. The performance is compared with Mel-frequency cepstral coefficients (MFCC) features. Experimental results show a significant improvement of the proposed MPEG-7 based environment recognition over that of the conventional MFCC based features. Zero-crossing rate is appended with the MPEG-7 based feature to yield even better performance. The best performance is achieved with combined MFCC, MPEG-7 and zero- crossing features. Index Items: Environment recognition, MPEG-7 Audio, MFCC, multimedia.
使用MPEG-7功能的音频环境识别
在本文中,我们介绍了如何充分利用MPEG-7 Audio的特性对不同多媒体应用中的音频进行环境识别。从音频文件中识别环境是一个越来越受关注的领域,然而,与其他多媒体分支相比,它的研究较少。为了识别环境,我们使用了总共17个MPEG-7音频低电平描述符作为特征。并与mel频率倒谱系数(MFCC)特征进行了比较。实验结果表明,本文提出的基于MPEG-7的环境识别方法比传统的基于MFCC特征的环境识别方法有显著提高。零交叉率与基于MPEG-7的特性一起附加,以产生更好的性能。结合MFCC、MPEG-7和过零特性,实现了最佳性能。索引项目:环境识别、MPEG-7音频、MFCC、多媒体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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