Music Part Segmentation in Music TV Programs Based on Chroma Vector Analysis

2012 IEEE International Symposium on Multimedia Pub Date : 2012-12-10 DOI:10.1109/ISM.2012.14

Aiko Uemura, J. Katto, Kyota Higa, Masumi Ishikawa, T. Nomura

引用次数: 1

Abstract

This paper presents a music part detection method incorporating chroma vector analysis for use with music TV programs. Results show that envelopes of chroma components of music signals tend to have horizontal (i.e. temporal) correlation in time-frequency representation because music signals have a periodic chord sequences. Based on this fact, we analyze time series of chroma components and attempt to segment music parts in music TV programs from other parts. Experimental results show an F-measure of 0.78, which is better than that obtained using the previous method.

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基于色度矢量分析的音乐电视节目音乐部分分割

提出了一种结合色度矢量分析的音乐片段检测方法，并将其应用于音乐电视节目中。结果表明，由于音乐信号具有周期性和弦序列，因此音乐信号的色度成分包络在时频表示上具有水平相关性(即时间相关性)。基于这一事实，我们分析了时间序列的色度分量，并尝试将音乐电视节目中的音乐部分从其他部分中分离出来。实验结果表明，该方法的f值为0.78，优于以前的方法。

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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来源期刊

2012 IEEE International Symposium on Multimedia

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