mlsanityData to 7 Oct 2026

Piano Skills Assessment

arXiv 2101.04884 ↗First posted 13 Jan 2021cs.CV cs.LG cs.MMcited by 16

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Abstract (arXiv)

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.

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). Builds on 20 of its 61 references that are in the map. First posted on arXiv 13 Jan 2021.

Builds on

20 of 61 references.

References · 20

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8 more
  1. 2019Manipulation-skill Assessment from Videos with Spatial Attention Networkcited by 29
  2. 2016Measuring the Quality of Exercisescited by 17
  3. 2020Action Quality Assessment using Siamese Network-Based Deep Metric Learningcited by 12
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  5. 2019HalluciNet-ing Spatiotemporal Representations Using a 2D-CNNcited by 2
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  8. 2020A Multi-Task Learning Approach for Human Activity Segmentation and Ergonomics Risk Assessmentcited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 2; 2023: 1; 2024: 4; 2025: 5; 2026: 3.

16 papers.

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