Piano Skills Assessment
This work initiates automated evaluation of piano playing skills, which could benefit music education and assessment, but it is incremental as it focuses on dataset creation and baselines rather than a novel method.
The researchers tackled the problem of automated piano skill assessment by creating a first-of-its-kind multimodal dataset and providing baselines to answer questions about using visual vs. auditory analysis and sampling shorter video clips, as current CNNs struggle with long videos.
Can a computer determine a piano player's skill level? Is it preferable to base this assessment on visual analysis of the player's performance or should we trust our ears over our eyes? Since current CNNs have difficulty processing long video videos, how can shorter clips be sampled to best reflect the players skill level? In this work, we collect and release a first-of-its-kind dataset for multimodal skill assessment focusing on assessing piano player's skill level, answer the asked questions, initiate work in automated evaluation of piano playing skills and provide baselines for future work. Dataset is available from: https://github.com/ParitoshParmar/Piano-Skills-Assessment.