一种有效的音频分割算法  

Audio Segmentation Based on Layer Entropy Detection

作　　者：王志明[1] 

机构地区：[1]怀化职业技术学院,湖南怀化418000

出　　处：《湖南理工学院学报（自然科学版）》2009年第3期37-40,共4页Journal of Hunan Institute of Science and Technology(Natural Sciences)

基　　金：国家863计划资助项目(2006AA01Z146)

摘　　要：音频分割是提取音频结构和内容语义的重要手段,是基于内容的音频分析、检索的基础.本文提出一种音频分割算法,采用定长分析窗分层结构遍历音频流,窗内根据熵变化趋势检测跳变点.实验结果表明,该算法避免了ΔBIC分割算法中的硬门限判决和数据累积问题,是一种更加有效的音频分割方法.Audio segmentation is an important access to extract audio structure and content,and is a basis for further audio retrieval and analysis. The paper proposes an audio segmentation algorithm based on layer entropy detection. The algorithm searches the audio stream using a size-fixed analysis window in which a top-down detection structure is employed and locates the change points according to the entropy trend. The experimental results demonstrate that our algorithm avoids detection errors due to data accumulation and establishing hard threshold, it is a more effective segmentation algorithm.

关 键 词：音频分割 分层检测 熵检测 

分 类 号：TP391.42[自动化与计算机技术—计算机应用技术]