Digital music education is in line with the trend of educational innovation and the combination of art and science, and music education must catch up with the requirements of the information age. This paper proposes to extract students’ voice waveforms based on digital technology, and then implement the guidance of singing state, rhythm, melody, pronunciation and biting to realize the cultivation of their Bel canto skills. By using melodic feature extraction, similarity comparison, and pitch data analysis to sing automatically, the research-designed Bel canto comparison system finds the problem position, estimates the error’s reason, and provides the student with thorough feedback and recommendations. Students’ singing status, pronunciation, rhythmic pitch, and classroom happiness all dramatically altered in four areas following the application of this paper’s teaching methodology. Additionally, the average score on the Bel canto professional skills test increased by 4.12 points. Consequently, the use of digital technology in the development of Bel canto abilities can facilitate the process of teaching vocal music and make it simpler to observe outcomes.
