首页> 外文期刊>International Journal of Pattern Recognition and Artificial Intelligence >AN OPTICAL MUSIC RECOGNITION SYSTEM FOR SKEW OR INVERTED MUSICAL SCORES
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AN OPTICAL MUSIC RECOGNITION SYSTEM FOR SKEW OR INVERTED MUSICAL SCORES

机译:歪斜或反向音乐得分的光学音乐识别系统

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摘要

Optical Music Recognition (OMR) is a technique for converting printed musical documents into computer readable formats. In this paper, we present a simple OMR system that can perform well for ordinary musical documents such as ballad and pop music. This system is constructed based on fundamental image processing and pattern recognition techniques, thus it is easy to implement. Moreover, this system has a strong capability in skew restoration and inverted musical score detection. From a series of experiments, the error for our skew restoration is below 0.2° for any possible document rotation and the accuracy of inverted musical score detection is up to 98.89%. The overall recognition accuracy of our OMR can achieve to nearly 97%, a figure comparable with current commercial OMR software. However, if taking into image skew into consideration, our system is superior to commercial software in terms of recognition accuracy.
机译:光学音乐识别(OMR)是一种用于将打印的音乐文档转换为计算机可读格式的技术。在本文中,我们提出了一种简单的OMR系统,该系统可以很好地处理民谣和流行音乐等普通音乐文件。该系统基于基本的图像处理和模式识别技术构建,因此易于实现。而且,该系统在偏斜恢复和反向乐谱检测方面具有很强的能力。通过一系列实验,对于任何可能的文档旋转,我们的偏斜恢复的误差都在0.2°以下,并且倒置乐谱检测的准确性高达98.89%。我们的OMR的整体识别精度可以达到近97%,这一数字可与当前的商用OMR软件相媲美。但是,如果考虑图像歪斜,我们的系统在识别精度方面优于商业软件。

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