ParitoshParmar / Piano-Skills-Assessment

Piano Skills Assessment [IEEE MMSP 2021]

Piano-Skills-Assessment (IEEE MMSP, 2021)

Contents

1. Introduction
2. Concept
3. Framework
4. Dataset

Introduction

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.

Concept

SL - Song Difficulty Level; PL - Pianists' Skills Level

Framework

Dataset

Dataset containing processed audios and videos can be downloaded from: https://drive.google.com/drive/folders/1XIrkWQkx2m7cbzk_b5k38xnl35k7dUwy?usp=sharing. Please 7-zip to uncompress the files.

Please feel free to reach out to me if you face any problem or have any questions.

If you find this dataset useful, please consider citing

@article{parmar2021piano,
  title={Piano Skills Assessment},
  author={Parmar, Paritosh and Reddy, Jaiden and Morris, Brendan},
  journal={arXiv preprint arXiv:2101.04884},
  year={2021}
}

Our Related Work

If you want to take a break from playing piano and do some workout, make sure to not injure yourself and maintain correct form using our camera-based Fitness-AQA workout posture/form checker: https://github.com/ParitoshParmar/Fitness-AQA!