Voice Anomaly Detection and Music Website Teaching Design for 5G Internet of Things

Author:

Chen Jin1ORCID

Affiliation:

1. Hengyang Normal University, Hengyang 421001, China

Abstract

Information technology has brought tremendous changes to many industries. 5G and Internet of Things technology have also driven the development of the music industry. Network communication has replaced the traditional method and has become a brand-new method of music communication. An online music instructional teaching website based on Internet of Things is designed, the basic functions of the website are introduced, and a voice anomaly detection system was designed from the landing test, search function test, song display, administrator maintenance, and management of songs. The basic functions of the website were tested in four aspects. According to the needs of music websites, a voice anomaly detection system is designed. The system includes two aspects, namely, an abnormal sound classification system and a microphone array abnormal sound detection system; two music rhythm algorithms are proposed, based on international music detection. The music data of the wrong retrieval platform was tested on two different music algorithms, and it was found that the two different detection methods have different results for different types of music, and the Bossa-Brazil music type has the highest error rate. In order to detect the accuracy of the detection of the abnormal voice system, a comparison experiment of three different voice detection systems was set up under the condition of no noise and noise, to test their experimental accuracy. The music teaching system designed in this paper has the highest accuracy, which can meet most of the requirements and improve the efficiency of music detection. In the design of music teaching, because the music website has rich functions and various products, it improves the effect of online teaching and the efficiency of teaching design. Instructional design is applied to online learning to improve the dissemination of music and art, and high-quality pronunciation is also one of the important contents.

Funder

Education Department of Hunan Province

Publisher

Hindawi Limited

Subject

Computer Science Applications,Software

Reference28 articles.

1. The design and development of music website[J];L. He;Electronics Test,2014

2. Design and interaction music search by humming on beatme online

3. Design and implementation of music website based on struts[J];L. Jin;Digital Technology and Application,2016

4. Application and design about aesthetics of interface and format in on-line music website[J];X. J. Liu;Computer Knowledge and Technology (Academic Exchange),2007

5. Design and development of online music website[J];J. Chen;Modern Computer,2012

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3