Non-local musical statistics as guides for audio-to-score piano transcription

K Shibata, E Nakamura, K Yoshii - Information Sciences, 2021 - Elsevier
We present an automatic piano transcription system that converts polyphonic audio
recordings into musical scores. This has been a long-standing problem of music information …

A perceptual measure for evaluating the resynthesis of automatic music transcriptions

F Simonetta, F Avanzini, S Ntalampiras - Multimedia Tools and …, 2022 - Springer
This study focuses on the perception of music performances when contextual factors, such
as room acoustics and instrument, change. We propose to distinguish the concept of …

Research on Multi-Modal Music Score Alignment Model for Online Music Education

D Ren - Journal of Advanced Computational Intelligence and …, 2024 - jstage.jst.go.jp
As music data storage becomes increasingly diverse in the era of big data, ensuring
alignment of music works with the same semantics for online music education is crucial. To …

Acoustics-specific Piano Velocity Estimation

F Simonetta, S Ntalampiras… - 2022 IEEE 24th …, 2022 - ieeexplore.ieee.org
Motivated by the state-of-art psychological research, we note that a piano performance
transcribed with existing Automatic Music Transcription (AMT) methods cannot be …

[PDF][PDF] A Perceptual Measure for Resynthesis of AMT

F Simonetta, F Avanzini, S Ntalampiras - 2022 - limunimi.github.io
SI is based on a previous work [3], that, to our knowledge, is the only one that predicts both
alignment and midi velocities. The inputs are a non-aligned score and an audio recording …

[引用][C] Score-Informed MIDI Velocity Estimation for Piano Performance by FiLM Conditioning

[引用][C] DiffVel: note-level MIDI velocity estimation for piano performance by a double conditioned diffusion model

H Kim, X Serra - 2023

[引用][C] Note level midi velocity estimation for piano performance

H Kim, M Miron, X Serra - 2023