融合注意力机制的基于MIDI控制器自动记谱算法设计实现  

Design and implementation of automatic notation algorithm based on MIDI controller with integrated attention mechanism

作　　者：郭杰 GUO Jie(Xianyang Vocational&Technical College,Xianyang Shaanxi 712000,China)

机构地区：[1]咸阳职业技术学院,陕西咸阳712000

出　　处：《自动化与仪器仪表》2024年第12期205-208,213,共5页Automation & Instrumentation

基　　金：2021年度咸阳职业技术学院科研基金项目《当代音乐创作中民族音乐元素的运用研究》(2021SKB02)。

摘　　要：为了提高目前作曲系统中的自动记谱算法效果不佳的问题,此次研究提出融合注意力机制和音乐设备数字接口的改进自动记谱算法,并将其进行应用于民族音乐实际案例中。对该改进算法进行对比实验,结果显示,该算法的准确率、召回率分别为99.1%、95.6%,显著优于对比算法。此外,在该自动记谱算法的实际案例分析中发现,该算法能够正确地检测出民族音乐歌曲中绝大部分的音符。上述结果说明,研究提出的改进自动记谱算法的实际应用效果较好,该方法可有效地提高作曲系统中的自动记谱算法的效果,促进作曲系统领域的发展。In order to improve the poor effect of the automatic notation algorithm in the current composition system,this study proposes an improved automatic notation algorithm that integrates the attention mechanism and the digital interface of music equipment,and applies it to the actual case of folk music.The results show that the accuracy rate and recall rate of the improved algorithm are 99.1%and 95.6%respectively,which is significantly better than the comparison algorithm.In addition,in the actual case analysis,it is found that the algorithm can correctly detect most of the notes in folk music songs.The above results show that the improved automatic notation algorithm proposed in this study has good practical application effect,and this method can effectively improve the effect of automatic notation algorithm in composition system and promote the development of composition system.

关 键 词：注意力机制 MIDI 自动记谱算法 作曲系统 民族音乐 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]