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Using diagram generation software to improve diagram recognition: a case study of music notation

机译:使用图生成软件改善图识别:音乐符号的案例研究

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Diagrams are widely used in society to transmit information such as circuit designs, music, mathematical formulae, architectural plans, and molecular structure. Computers must process diagrams both as images (marks on paper) and as information. A diagram recognizer translates from image to information and a diagram generator translates from information to image. Current technology for diagram generation is ahead of the technology for diagram recognition. Diagram generators have extensive knowledge of notational conventions which relate to readability and aesthetics, whereas current diagram recognizers focus on the hard constraints of the notation. To create a recognizer capable of exploiting layout information, it is expedient to reuse the expertise in existing diagram generators. In particular, we discuss the use of Lime (our editor and generator for music notation) to proofread and correct the raw output of MIDIScan (a third-party commercial recognizer for music notation). Over the past several years, this combination of software has been distributed to thousands of users.
机译:图表在社会中广泛用于传递信息,例如电路设计,音乐,数学公式,建筑计划和分子结构。计算机必须将图表既作为图像(在纸上标记),又作为信息进行处理。图识别器将图像转换为信息,图生成器将信息转换为图像。当前的图生成技术领先于图识别技术。图生成器对与可读性和美观性有关的符号约定具有丰富的知识,而当前的图识别器专注于符号的严格约束。为了创建能够利用布局信息的识别器,最好重用现有图生成器中的专业知识。特别是,我们讨论了使用Lime(我们的音乐符号编辑器和生成器)来校对和更正MIDIScan(音乐符号的第三方商业识别器)的原始输出。在过去的几年中,这种软件组合已分发给成千上万的用户。

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