Analysis of Utilization and Limitations of the Automatic Matching Function of AI-based Equalizers: Comparative Study of Pro-Q3 and Match EQ

This study comprehensively analyzed the accuracy and user satisfaction of the EQ spectrum automatic matching function. We compared the sound quality matching performance and satisfaction levels of two EQ tools, Pro-Q3 and MatchEQ, across various instruments, including guitar, bass, piano, and brass, and performance types such as single pitch, melody, frequency modulation, and commercial tracks. Through repeated-measures ANOVA, we confirmed significant main effects of product type, instrument category, and performance style, as well as significant interactions among these factors. Consistent differences were further validated using the Friedman non- parametric test. High inter-rater reliability (ICC = .82) and excellent internal consistency (Cronbach’s alpha = .91) support the reliability of the findings. Overall, MatchEQ exhibited higher user preference compared to Pro-Q3, especially noticeable in piano and brass performances. This research provides meaningful implications for the development and application of EQ matching technologies using AI in the field of audio processing. It also confirms the practical contributions of spectrum automatic matching functions in enhancing audio quality and work efficiency in home studio and small-scale music production environments, suggesting the need for further precision improvement in automation algorithms and adaptation to various genres and performance styles.