Signal Processing for Music Analysis
Signal Processing for Music Analysis
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DOI：
10.1109/jstsp.2011.2112333
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发表时间：
2011-10-01
影响因子：
7.5
通讯作者：
Richard, Gael
中科院分区：
文献类型：
--
作者：
Mueller, Meinard;Ellis, Daniel P. W.;Richard, Gael
音乐信号处理似乎是语音信号处理的大而成熟的领域的初级关系，这尤其是因为最初为语音开发的许多技术和表述已应用于音乐，通常会带来良好的结果。但是，音乐信号具有特定的声学和结构性特征，可将它们与口语或其他非音乐信号区分开。本文概述了一些信号分析技术，这些技术专门针对音乐维度，例如旋律，和谐，节奏和音色。我们将研究音乐信号的特定特征如何影响和确定这些技术，并重点介绍了许多新颖的音乐分析和检索任务，而这种处理可以使这些技术成为可能。我们的目标是证明，要取得成功，音乐音频信号处理技术必须通过对音乐本身本质的深刻见解来告知。
Music signal processing may appear to be the junior relation of the large and mature field of speech signal processing, not least because many techniques and representations originally developed for speech have been applied to music, often with good results. However, music signals possess specific acoustic and structural characteristics that distinguish them from spoken language or other nonmusical signals. This paper provides an overview of some signal analysis techniques that specifically address musical dimensions such as melody, harmony, rhythm, and timbre. We will examine how particular characteristics of music signals impact and determine these techniques, and we highlight a number of novel music analysis and retrieval tasks that such processing makes possible. Our goal is to demonstrate that, to be successful, music audio signal processing techniques must be informed by a deep and thorough insight into the nature of music itself.