AI-Powered Singing Coach: Revolutionizing Music Education

This research introduces a fascinating application of machine learning in music education, specifically focusing on automatic singing mistake detection. The use of a curated dataset and deep learning models to analyze vocal recordings promises to enhance learning experiences for singers. This work opens exciting new avenues for technology-enhanced music pedagogy!

• •A new framework for automatically detecting singing mistakes is introduced.
• •The research utilizes a newly created dataset of teacher-learner vocal recordings.
• •Learning-based methods demonstrated superior performance compared to rule-based methods.