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A simplified attributed graph grammar for high-level music recognition

机译:用于高级音乐识别的简化属性图语法

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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.
机译:本文介绍了一种简化的归因于程序设计的图形语法,以表示和处理有关常见音乐符号的先验知识。所提出的方法用作高级识别阶段,并与我们整个光学音乐识别系统(DOREMIDI ++)中的以前的低级识别阶段互锁。实施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。此转换将符号识别阶段的结果转换为乐谱的符号表示。

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