首页> 外文期刊>Journal of Advanced Computatioanl Intelligence and Intelligent Informatics >Real-Time Optical Music Recognition System for Dulcimer Musical Robot
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Real-Time Optical Music Recognition System for Dulcimer Musical Robot

机译:Dulcimer音乐机器人的实时光学音乐识别系统

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摘要

Traditional optical music recognition (OMR) is an important technology that automatically recognizes scanned paper music sheets. In this study, traditional OMR is combined with robotics, and a real-time OMR system for a dulcimer musical robot is proposed. This system gives the musical robot a stronger ability to perceive and understand music. The proposed OMR system can read music scores, and the recognized information is converted into a standard electronic music file for the dulcimer musical robot, thus achieving real-time performance. During the recognition steps, we treat note groups and isolated notes separately. Specially structured note groups are identified by primitive decomposition and structural analysis. The note groups are decomposed into three fundamental elements: note stem, note head, and note beams. Isolated music symbols are recognized based on shape model descriptors. We conduct tests on real pictures taken live by a camera. The tests show that the proposed method has a higher recognition rate.
机译:传统光学音乐识别(OMR)是一种重要的技术,可自动识别扫描的纸张音乐表。在这项研究中,传统的OMR与机器人合并,提出了一种用于杜拉米默音乐机器人的实时OMR系统。该系统使音乐机器人能够更强地感知和了解音乐。所提出的OMR系统可以读取音乐分数,并且识别的信息被转换为Dulcimer音乐机器人的标准电子音乐文件,从而实现了实时性能。在识别步骤期间,我们分别对待笔记组和孤立的笔记。通过原始分解和结构分析来识别特殊结构的备注组。音符组分解为三个基本要素:注意阀杆,注意头和音符光束。基于形状模型描述符识别孤立的音乐符号。我们在通过相机生活的真实照片进行测试。测试表明,该方法具有更高的识别率。

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