activity
20172026
most citedAudio-to-score alignment of piano music using RNN-based automatic music transcription

11 citations · 24 across the 15 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.MM2025

Designing a Multimodal Viewer for Piano Performance Analysis -- a Pedagogy-First Approach

Joonhyung Bae, Hyeyoon Cho, Kirak Kim +11

Abstract instructions in piano education, such as "raise your wrist" and "relax your tension," lead to varying interpretations among learners, preventing instructors from effective…

cs.SD2025

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

Junhyung Park, Yonghyun Kim, Joonhyung Bae +4

Piano performance is a multimodal activity that intrinsically combines physical actions with the acoustic rendition. Despite growing research interest in analyzing the multimodal n…

cs.SD2025

PianoVAM: A Multimodal Piano Performance Dataset

Yonghyun Kim, Junhyung Park, Joonhyung Bae +4

The multimodal nature of music performance has driven increasing interest in data beyond the audio domain within the music information retrieval (MIR) community. This paper introdu…

cs.SD2025

Dialogue in Resonance: An Interactive Music Piece for Piano and Real-Time Automatic Transcription System

Hayeon Bang, Taegyun Kwon, Juhan Nam

This paper presents <Dialogue in Resonance>, an interactive music piece for a human pianist and a computer-controlled piano that integrates real-time automatic music transcription…

cs.SD2025

D3RM: A Discrete Denoising Diffusion Refinement Model for Piano Transcription

Hounsu Kim, Taegyun Kwon, Juhan Nam

Diffusion models have been widely used in the generative domain due to their convincing performance in modeling complex data distributions. Moreover, they have shown competitive re…