D Yang, A Goutam, K Ji, TJ Tsai - Algorithms, 2022 - mdpi.com
This paper studies the problem of identifying piano music in various modalities using a single, unified approach called marketplace fingerprinting. The key defining characteristic of …
TJ Tsai - ICASSP 2020-2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
This paper investigates the problem of matching a MIDI file against a large database of piano sheet music images. Previous sheet–audio and sheet–MIDI alignment approaches …
C Weiß, M Müller - ACM Journal on Computing and Cultural Heritage, 2024 - dl.acm.org
The availability of digital music data in various modalities provides opportunities both for music enjoyment and music research. Regarding the latter, the computer-assisted analysis …
We propose an efficient workflow for high-quality offline alignment of in-the-wild performance audio and corresponding sheet music scans (images). Recent work on audio …
This article introduces a method for large-scale retrieval of piano sheet music images. We study this problem in two different scenarios: camera-based sheet music identification and …
A Jain, A Bunn, A Pham, TJ Tsai - Transactions of the …, 2024 - transactions.ismir.net
This article motivates, describes, and presents the PBSCR dataset for studying composer recognition of classical piano music. Our goal was to design a dataset that facilitates large …
A Jain, A Bunn, TJ Tsai - arXiv preprint arXiv:2401.16803, 2024 - arxiv.org
This article motivates, describes, and presents the PBSCSR dataset for studying composer style recognition of piano sheet music. Our overarching goal was to create a dataset for …
There have been significant breakthroughs in computer vision research in many subfields, including composer identification from images of sheet music. Previous work in composer …
Y Liu, R Wu, Y Wu, L Luo, W Xu - Applied Sciences, 2023 - mdpi.com
The recognition of printed music sheets in camera-based realistic scenarios is a novel research branch of optical music recognition (OMR). However, special factors in realistic …