Modern Approaches to Teaching Pop Singers: Comparing Virtual Reality Technologies and Voice Analysis Software

ABSTRACT This study aims to analyse the influence of two different technologies (voice analysis software and virtual reality) on three components of vocal skills among students studying pop vocals. The components are the accuracy of reproducing musical elements , voice control ability and presentation skills . A one‐way ANCOVA analysis was used to identify significant differences between the study groups. The obtained results indicate an enhancement of skills under experimental conditions. Group 1 (voice analysis) demonstrates superiority in ‘musical accuracy’ (mean increase: 0.749 points, p = 0.006), which can be attributed to the immediate auditory feedback. Group 2 (VR‐based training) exhibits significant improvements in ‘voice control’ (mean increase: 0.636 points, p = 0.002) and ‘presentation skills’ (mean increase: 0.467 points, p = 0.003), confirming the hypothesis that the ‘immersive environment’ facilitates ‘psychophysical adaptation.’ The highest motivation level is observed in ‘VR‐supported learning’ (4.633 points), surpassing both ‘voice analysis‐based training’ (4.487 points) and the ‘traditional cohort’ (3.979 points). The study underscores the ‘pedagogical feasibility’ of ‘integrating interactive technologies’ into ‘vocal training’—voice analysis software enhances technical precision, while ‘VR‐based simulations’ contribute to ‘expressive autonomy,’ a conclusion with direct implications for ‘conservatory curricula’ and ‘commercial vocal training programmes.’ Future research should extend the scope of adaptive machine learning integration—calibrating training protocols based on individual performance analytics—and examine cross‐cultural implementations to validate the scalability of immersive methodologies across diverse musical traditions.