Application of the Bayesian probability network to music scene analysis
Application of the Bayesian probability network to music scene analysis
复制标题
贝叶斯概率网络在音乐场景分析中的应用
DOI：
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发表时间：
1998
期刊：
影响因子：
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通讯作者：
Hidehiko Tanaka
中科院分区：
文献类型：
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作者：
K. Kashino;K. Nakadai;T. Kinoshita;Hidehiko Tanaka
我们提出了一个层次化的感知声音组织的过程模型，它识别传入的声音信号中包含的感知声音。我们认为感知的声音组织作为一个场景分析问题，在听觉域。我们目前的应用程序是一个音乐场景分析系统，它识别节奏，和弦，并在传入的音乐信号中包括源分离的音符。我们的过程模型包括多个处理模块和一个概率网络的信息集成。我们的模型的结构在概念上是基于黑板架构。然而，贝叶斯概率网络的使用促进了自主模块提供的多个信息源的集成，而无需全局控制知识。
We propose a process model for hierarchical perceptual sound organization, which recognizes perceptual sounds included in incoming sound signals. We consider perceptual sound organization as a scene analysis problem in the auditory domain. Our current application is a music scene analysis system, which recognizes rhythm, chords, and source-separated musical notes included in incoming music signals. Our process model consists of multiple processing modules and a probability network for information integration. The structure of our model is conceptually based on the blackboard architecture. However, employment of a Bayesian probability network has facilitated integration of multiple sources of information provided by autonomous modules without global control knowledge.