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基于神经网络的声乐演奏评价系统研究及其在钢琴教学中的应用

2020-09-02何鸿雁

微型电脑应用 2020年8期
关键词:声乐钢琴音乐

摘要:

现阶段的声乐教学面临的教师资源短缺日益严重,因此利用计算机辅助教学功能开发一款声乐教学系统显得尤为重要。首先,根据计算机神经网络技术原理对系统的算法流程进行了详细设计,利用傅里叶变换及其改进函数对声乐的演奏特征进行提取,根据系统框架结构和数据处理流程对系统的重点模块进行设计,并给出了关键设计代码,最后以钢琴演奏为例,选取了不同钢筋等级的演奏者对系统评判准确性进行测试,测试结果表明该系统能反映表演者的真实水平,有利于声乐教学。

关键词:

神经网络; 声乐演奏; 系统; 评价; 教学

中图分类号: G 643

文献标志码: A

Research on Vocal Music Performance Evaluation System Based on

Neural Network and Its Application in Piano Teaching

HE Hongyan

(Department of Pop Music, Shanxi Vocational Academy of Art, Xian, Shanxi 710054, China)

Abstract:

At present, vocal music teaching is facing on a growing shortage of teacher resources, so it is particularly important to develop a vocal music teaching system by using the computeraided teaching function. First of all, according to the principle of computer neural network technology, the algorithm flow of the system is designed in detail, the performance characteristics of vocal music are extracted by using Fourier transform and its improved function, the key modules of the system are designed according to the system frame structure and data processing flow, and the key design codes are given. Finally, taking piano performance as an example, performers withdifferent grades are selected to test the accuracy of the system evaluation, and the test results show that the system can reflect the real level of the performer, which is conducive to vocal music teaching.

Key words:

neural network; vocal music performance; system; evaluation; teaching

0引言

隨着我国经济的发展,居民生活水平日益提高,在物质生活得到大幅度改善的同时,人们的精神生活也在不断充实[1]。钢琴演奏作为陶冶情操的一种重要手段受到众多人追捧,学员人数众多,而现阶段,我国钢琴演奏的教学者人数却极为稀少,加之钢琴教学需采用一对一的教学方式,加之钢琴教学对环境、时间要求等因素,使得钢琴普及率并不高[25]。因此针对钢琴学习开发一款声乐演奏评价系统并利用计算机的自动识别技术,自动记录学员的演奏信息,并利用系统内已存乐曲信息对比,对学员的钢琴演奏效果进行点评,找到演奏中的不足显得尤为重要。该系统不仅在一定程度代替老师的教学工作,同时该系统还可对相关专业人员进行音乐创作有一定的辅助作用。……

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