2 citations · 3 across the 9 of their papers we have counts for
11 papers
Learning Jazz Pianist Style with Cross-Attention Conditioning
Drew Edwards, Akira Maezawa, Simon Dixon
Jazz pianists develop distinctive traits that experienced listeners can often identify within seconds, yet the features underlying this recognition resist formal description. We st…
Exploring Breathing-Music Coupling: Using the Breathing Mirror for Somatic Reflection in Piano Performance
Ziyue Piao, Yohei Wada, Isabelle Cossette +2
While breathing is essential to living and for sound production in some instruments, for pianists, it is often a hidden and automatic process, making it difficult to analyze or ref…
SKY-Piano: A Multimodal Piano Performance Dataset
Joonhyung Bae, Dawon Park, Taegyun Kwon +10
Music information retrieval research on piano performance increasingly involves diverse modalities of data and annotations beyond audio and MIDI. We present SKY-Piano, a multimodal…
PiAnnotate: A Web Annotation Tool for Piano Fingering, with a Diagnostic Probe
Joonhyung Bae, Kirak Kim, Hyeyoon Cho +8
Piano fingering shapes how a passage can be played, yet it is difficult to label after a performance. An annotator must decide which finger produced each note while reconciling the…
RenCon 2025: Revival of the Expressive Performance Rendering Competition
Huan Zhang, Taegyun Kwon, Anders Friberg +7
This paper presents a comprehensive documentation of RenCon 2025, the revival of the expressive performance rendering competition which took place at ISMIR 2025 in Daejeon, Korea.…
Tipiano: Cascaded Piano Hand Motion Synthesis via Fingertip Priors
Joonhyung Bae, Kirak Kim, Hyeyoon Cho +9
Synthesizing realistic piano hand motions requires both precision and naturalness. Physics-based methods achieve precision but produce stiff motions; data-driven models learn natur…
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…
CMI-Bench: A Comprehensive Benchmark for Evaluating Music Instruction Following
Yinghao Ma, Siyou Li, Juntao Yu +2
Recent advances in audio-text large language models (LLMs) have opened new possibilities for music understanding and generation. However, existing benchmarks are limited in scope,…
RenderBox: Expressive Performance Rendering with Text Control
Huan Zhang, Akira Maezawa, Simon Dixon
Expressive music performance rendering involves interpreting symbolic scores with variations in timing, dynamics, articulation, and instrument-specific techniques, resulting in per…
A Data-Driven Analysis of Robust Automatic Piano Transcription
Drew Edwards, Simon Dixon, Emmanouil Benetos +2
Algorithms for automatic piano transcription have improved dramatically in recent years due to new datasets and modeling techniques. Recent developments have focused primarily on a…
Loop Copilot: Conducting AI Ensembles for Music Generation and Iterative Editing
Yixiao Zhang, Akira Maezawa, Gus Xia +2
Creating music is iterative, requiring varied methods at each stage. However, existing AI music systems fall short in orchestrating multiple subsystems for diverse needs. To addres…