English

Two Web Toolkits for Multimodal Piano Performance Dataset Acquisition and Fingering Annotation

Sound 2025-09-19 v1 Computer Vision and Pattern Recognition Multimedia Audio and Speech Processing Image and Video Processing

Abstract

Piano performance is a multimodal activity that intrinsically combines physical actions with the acoustic rendition. Despite growing research interest in analyzing the multimodal nature of piano performance, the laborious process of acquiring large-scale multimodal data remains a significant bottleneck, hindering further progress in this field. To overcome this barrier, we present an integrated web toolkit comprising two graphical user interfaces (GUIs): (i) PiaRec, which supports the synchronized acquisition of audio, video, MIDI, and performance metadata. (ii) ASDF, which enables the efficient annotation of performer fingering from the visual data. Collectively, this system can streamline the acquisition of multimodal piano performance datasets.

Keywords

Cite

@article{arxiv.2509.15222,
  title  = {Two Web Toolkits for Multimodal Piano Performance Dataset Acquisition and Fingering Annotation},
  author = {Junhyung Park and Yonghyun Kim and Joonhyung Bae and Kirak Kim and Taegyun Kwon and Alexander Lerch and Juhan Nam},
  journal= {arXiv preprint arXiv:2509.15222},
  year   = {2025}
}

Comments

Accepted to the Late-Breaking Demo Session of the 26th International Society for Music Information Retrieval (ISMIR) Conference, 2025

R2 v1 2026-07-01T05:44:28.492Z