An introduction to the IPEM Toolbox for Perception-Based Music Analysis.
An introduction to the IPEM Toolbox for Perception-Based Music Analysis.
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用于基于感知的音乐分析的 IPEM 工具箱简介。
DOI：
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发表时间：
2001
期刊：
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通讯作者：
Koen B. Tanghe
中科院分区：
文献类型：
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作者：
M. Leman;M. Lesaffre;Koen B. Tanghe
开发基于感知的音乐分析工具箱的动机源于这样一种观察，即世界上的许多音乐作品（在不同的文化和时期）都没有乐谱表示，即使乐谱表示是可用的，它仍然只代表了音乐交流真正涉及的一小部分。对音乐声音的声学分析可能为更好地理解音乐信息处理的组成部分提供了步骤，但鉴于人类如何处理音乐信号，这也是不够的。科技已经彻底改变了我们对21世纪音乐研究的概念。但音乐学家的任务是与其他科学家合作，如工程师、心理学家和脑科学家，使这些梦更加具体。我们开发这个工具箱的基本动机是务实的：如果音乐学的目的是将音乐理解为嵌入物理世界的社会和文化现象，并通过人类的感知、认知和表达交流的处理能力来调解，那么必须开发新的工具，允许完全整合的方法。本文介绍了用于基于感知的音乐分析的IPEM工具箱的主要概念和最新模块。这个工具箱代表了一种自下而上的音乐描述方法，以人类感知为基础进行音乐特征提取和更高层次的概念化和表示。IPEM工具箱提供了一系列MATLAB函数，这些函数允许处理特征提取的不同方面，以及关于基于感知的音乐分析的全局概念。首先，我们提出了全球内部表示框架。然后，我们勾勒出我们心中的整体图景，并介绍当前涉及的模块。最后介绍了该工具箱的一些应用。
The motivation for developing a toolbox for perception-based music analysis starts from the observation that much of the world music production (seen over different cultures and time periods) has no score representation, and that if a score representation is available, it still represents but a small percentage of what musical communication really is about. A sonological analysis of musical sounds may provide steps towards a better understanding of the components that contribute to musical information processing but is also insufficient in view of how humans deal with musical signals. Technology has revolutionized our conception of what kind of music research will be possible in the 21st Century. But it is the task of musicologists, in collaboration with other scientists, such as engineers, psychologists, and brain scientists, to make these dreams more concrete. Our basic motivation for developing this toolbox is a pragmatic one: if the musicology aims at understanding music as a social and cultural phenomenon embedded in the physical world and mediated through human faculties of perception, cognition, and processing of expressive communication, then new tools must be developed that allow a fully integrated approach. This paper introduces the main concepts and a state-of-the-art of the modules of the IPEM toolbox for perception-based music analysis. This toolbox represents a bottom-up approach to musical description taking human perception as the basis for musical feature extraction and higher-level conceptualization and representation. The IPEM toolbox provides a collection of MATLAB functions that allow dealing with different aspects of feature extraction as well as a global concept concerning perception-based music analysis. First we present the global internal representation framework. Then we sketch what we have in mind as a global picture and present the modules currently involved. Finally we describe some applications of the toolbox.