A simplified attributed graph grammar for high-level music recognition

S. Baumann
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引用次数: 36

Abstract

This paper describes a simplified attributed programmed graph grammar to represent and process a-priori knowledge about common music notation. The presented approach serves as a high-level recognition stage and is interlocked to previous low-level recognition phases in our entire optical music recognition system (DOREMIDI++). The implemented grammar rules and control diagrams describe a declarative knowledge base to drive a transformation algorithm. This transformation converts the results of symbol recognition stages to a symbolic representation of the musical score.
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用于高级音乐识别的简化属性图语法
本文描述了一种简化的属性程序化图语法,用于表示和处理普通乐谱的先验知识。所提出的方法作为一个高级识别阶段,并在我们的整个光学音乐识别系统(doremid++)中与先前的低级识别阶段互锁。实现的语法规则和控制图描述了用于驱动转换算法的声明性知识库。这种转换将符号识别阶段的结果转换为乐谱的符号表示。
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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