| 计算机光学乐谱识别技术 |
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| 引用本文： | 刘晓翔,张树生,王贺,朱玉璋.计算机光学乐谱识别技术[J].计算机工程,2003,29(2):14-15,27. |
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| 作者姓名： | 刘晓翔 张树生 王贺 朱玉璋 |
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| 作者单位： | 1. 西北工业大学,西安,710072
2. 西安音乐学院,西安,710061 |
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| 基金项目： | 西北工业大学博士论文创新基金资助项目 |
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| 摘 要： | 计算机光学乐谱识别是计算机技术在音乐领域的发展和应用，主要利用图像处理，模式识别，文档图像分析等相关技术，把乐谱图像转化成通用的数字音乐格式，OMR实现传统乐谱数字化，在计算机音乐、计算机辅助音乐教学，数学音乐图书馆等众多领域有着广泛的应用前景，OMR包括乐谱图像预处理，谱线检测与删除，原始音符对象识别和特征音符对象解释与重组等主要过程，音符对象的识别，解释与重组是其中的难点和关键。
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| 关 键 词： | 计算机 光学乐谱识别 模式识别 音乐教学 计算机辅助教学 数学音乐图书馆 文档图像分析 |
| 文章编号： | 1000-3428(2003)02-0014-02 |
Application and Research on Optical Music Recognition |
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| LIU Xiaoxiang,ZHANG Shusheng,WANG He,ZHU Yuzhang.Application and Research on Optical Music Recognition[J].Computer Engineering,2003,29(2):14-15,27. |
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| Authors: | LIU Xiaoxiang ZHANG Shusheng WANG He ZHU Yuzhang |
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| Affiliation: | LIU Xiaoxiang1,ZHANG Shusheng1,WANG He1,ZHU Yuzhang2 |
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| Abstract: | The paper introduces the technique of optical music recognition (OMR) which suggests the automatic recognition of music notation by computer. An OMR system uses a scanned image of a printed score as input, while its output could be a text-to-audio transcribed file, to provide user with editing or hearing functionalities of the recognition results. Subsequent processing on this output can provide a wide variety of applications, such as reprinting, computer aid music teaching and digital music library, etc. Then, this paper discusses four key areas of OMR techniques: image pre-processing; staff line detection and removing; primitive musical objects recognition; feature musical objects reasoning and reconstruction. |
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| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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