Optimization of Vocal Singing Training Methods Using Intelligent Big Data Technology

Abstract

The development of art education and information technology has led to the importance of computer technology and multimedia technology in the development of students’ independent inquiry and research skills. In the context of “Internet+,” new modes of teaching phonics have emerged, reconfiguring the spatial and temporal relationship of phonics education. The use of Internet resources is not only a simple collection and sharing of educational resources, but also a new way of teaching voice, which has the magic charm of becoming one of the resources for the majority of voice enthusiasts. However, in practice, there are very few assistive software suitable for music classroom teaching. It is important to research and implement teaching aids suitable for music classroom teaching. Based on intelligent big data technology to optimize the phonetic training methods, the teaching methods are more specific, scientific, and diverse, and improve the self-learning ability and learning interest of Chinese phonetic learners. The experimental results show that the weight of the phonetic teaching optimization process is 0.154 higher than the weight before processing, which is expressed as the value of the control reliability fuzzy quantifier in this test. In other words, the reliability is “absolutely reliable.” Therefore, this study is expected to promote the modernization and scientific process of Chinese vocal education and propose a new way of thinking for Chinese vocal education.