基于YOLO的简谱自动识别  

Automatic recognition of simplified notation based on YOLO

作　　者：李少春 黄烨 吴阳 LI Shaochun;HUANG Ye;WU Yang(School of Intelligent Equipment Engineering,Wuxi Taihu University,Wuxi 214064,China)

机构地区：[1]无锡太湖学院智能装备工程学院,江苏无锡214064

出　　处：《无线互联科技》2024年第13期104-106,共3页Wireless Internet Technology

基　　金：2023年江苏省大学生创新创业项目,项目编号:202313571010Z。

摘　　要：随着人工智能和计算机视觉的快速发展,乐谱识别已成为音乐信息识别领域的热点研究话题之一。文章基于YOLO算法实现了吉他简谱的自动识别,通过识别谱面上的音符坐标,实现输入乐谱与检索库乐谱集的匹配。基于YOLO模型的处理能力和匹配效果,文章提出了基于YOLO的简谱自动识别方法,建立了音符坐标匹配模型。对简谱识别和匹配的仿真结果表明,该方法在准确性和效率上表现出色,验证了该方法在音乐信息检索和简谱识别方面的有效性。With the rapid development of artificial intelligence and computer vision technology,music recognition has become one of the hot research topics in the field of music information retrieval and recognition.Based on YOLO algorithm,this paper studies and realizes the automatic recognition method of guitar simple score.By recognizing the note coordinates on the spectrum surface,the input score can be matched with the score set in the retrieval library.Methods considering the processing power of YOLO model and the effect of matching algorithm,an automatic recognition method based on YOLO is proposed,and a matching model of note coordinates is established.The simulation results show that this method is excellent in accuracy and efficiency,and the correctness and effectiveness of this method in music information retrieval and recognition of simplified music processing are verified.

关 键 词：简谱 识别 YOLO 匹配 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]