Hierarchical Sound Classification using Mpeg-7

H. Crysandt
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引用次数: 5

Abstract

Due to the increasing amount of multimedia contents such as images, audio signals and videos in digital form the need for automatic or semi-automatic classification applications become more and more important. This paper describes a new sound classification technique based on the sound classification algorithm included in the MPEG-7 standard without extending or modifying it. There sequential classification is turned into a hierarchical. Thereby it is possible to use more linear transformations for (lossy) feature vector compression. Thus it is possible to work out differences between sound classes more precisely. This paper also gives a detailed view on how the algorithm is implemented using a XML database to store and request content information of the audio signals and model descriptions of sound classes using the MPEG-7 standard
使用Mpeg-7的分层声音分类
随着数字形式的图像、音频信号、视频等多媒体内容的不断增加,自动或半自动分类应用的需求变得越来越重要。本文在不扩展或修改MPEG-7标准的基础上,提出了一种新的声音分类技术。在这里,顺序分类变成了层次分类。因此,有可能使用更多的线性变换(有损)特征向量压缩。因此,可以更精确地计算出声音类别之间的差异。本文还详细介绍了如何使用XML数据库来存储和请求音频信号的内容信息,以及如何使用MPEG-7标准对声音类进行模型描述
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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