音乐信息率的音频甲骨文分析

S. Dubnov, G. Assayag, Arshia Cont
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引用次数: 41

摘要

本文提出了一种基于音频表示的音乐信息内容变化分析方法——音频甲骨文(audio Oracle, AO)。利用AO的压缩特性,我们估计了在音乐信号的每个实例中过去和现在之间传递的信息量。该公式将信息率(IR)的概念扩展到单个序列,并允许对AO阈值参数进行最佳估计。我们表明IR的变化对应于重要的音乐结构,如奏鸣曲形式的部分。本文讨论了与音乐感知的关系及其在作曲和即兴创作中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Audio Oracle Analysis of Musical Information Rate
This paper presents a method for analysis of changes in information contents in music based on an audio representation called Audio Oracle (AO). Using compression properties of AO we estimate the amount of information that passes between the past and the present at every instance in a musical signal. This formulation extends the notion of Information Rate (IR) to individual sequences and allows an optimal estimation of the AO threshold parameter. We show that changes in IR correspond to significant musical structures such as sections in a sonata form. Relation to musical perception and applications for composition and improvisation are discussed in the paper.
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