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

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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.

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APA

Chen, J. (2022). Voice Anomaly Detection and Music Website Teaching Design for 5G Internet of Things. Scientific Programming, 2022. https://doi.org/10.1155/2022/7028473

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