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Development of an image processing based sheet music recognition system for iOS devices

机译:开发用于iOS设备的基于图像处理的活页乐谱识别系统

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Intelligent mobile devices with multiple sensors and technologies have been spread widely and gradually. This paper presents a sheet music recognition system that can automatically recognize and perform the musical score with a simulated piano on iOS devices. The overall music recognition system consists of three functional parts. The first part is designed to pre-process the input image of a musical score. The major task of the second part is to segment each individual object on the musical score followed by note and pitch recognition. Finally, the recognized notes are transformed to the MIDI forms and the musical score is performed by a simulated piano. The proposed system has been implemented as an App which can be run of iOS devices.
机译:具有多种传感器和技术的智能移动设备已经广泛并逐渐普及。本文介绍了一种活页乐谱识别系统,该系统可以在iOS设备上使用模拟钢琴自动识别并执行乐谱。整个音乐识别系统包括三个功能部分。第一部分设计为预处理乐谱的输入图像。第二部分的主要任务是在乐谱上分割每个对象,然后进行音符和音高识别。最后,将识别出的音符转换为MIDI形式,并由模拟钢琴演奏乐谱。拟议的系统已实现为可在iOS设备上运行的App。

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