Evaluation of Vocal Music Performance Teaching: A Fuzzy Logic-Based Approach in the Context of Embedded Systems

Abstract

Vocal music teaching and learning performance and quality analysis played an important role in music education. The multiple musical theory and intelligence approaches are widely applied to analyze lesson recommendations, design requirements, and operation forms. The intelligence theory utilizes questionnaires to explore student performance and comprehension scores to improve their learning process. However, the existing techniques fail to address the music quality evaluation-related quantitative problems. The research issues maximize the difficulties while analyzing the student learning efficiency. The challenges are overcome by applying the Vocal Music Teaching Method (VMTM) with Fuzzy logic approach. During the analysis, fuzzy rules are generated according to different factors such as expressions, rhythm, and pitch accuracy. The created rules evaluate musical performance and manage the system's flexibility. The vocal performance is explored by collecting data from student feedback. The feedback is continuously examined to improve the overall Vocal Music Teaching Method (VMTM) efficiency in music class. Finally, the experimental results and discussions evaluate the system's efficiency.