A Methodological Investigation into the Application of the MVP Support System in Ensemble Performance Practice by Wind Instrument Players

This study explores the application and evaluation of the MVPSupport System during actual ensemble practice sessions. The MVP Support System captures the sound of performers through a microphone, estimates pitch using a machine learning model, and provides pitch feedback through a browser-based interface. Unlike conventional tuners that use needle and dial indicators, this system visualizes pitch deviations using color: red indicates a pitch higher than the reference, blue indicates a lower pitch, and green indicates correct intonation. While previous research on the MVP Support System has been conducted in controlled laboratory environments, this study applies the system in real-world ensemble rehearsal settings and discusses its methodological implications.