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D. Jeong, and J. Nam, "Note Intensity Estimation of Piano Recordings by Score-Informed NMF," Paper 4-1, (2017 June.). doi: D. Jeong, and J. Nam, "Note Intensity Estimation of Piano Recordings by Score-Informed NMF," Paper 4-1, (2017 June.). doi:
Abstract: While dynamics is an important characteristic in music performance, it has been rarely researched in automatic music transcription. We propose a method to estimate individual note intensities from a piano recording given pre-aligned score data of the recording. To this end, we use non-negative matrix factorization in a score-informed setting, where the basis vectors and weights are constrained to estimate harmonic note spectra and corresponding intensities, respectively. We examine various choices in the learning process including the use of synthesized note scale for initialization, type of spectrum, and temporal constraint. We evaluate our method using Saarland Music Data and estimate note intensities in MIDI velocity. The results show that the proposed method makes an improvement compare to previous work.

@article{jeong2017note,
author={jeong, dasaem and nam, juhan},
journal={journal of the audio engineering society},
title={note intensity estimation of piano recordings by score-informed nmf},
year={2017},
volume={},
number={},
pages={},
doi={},
month={june},} @article{jeong2017note,
author={jeong, dasaem and nam, juhan},
journal={journal of the audio engineering society},
title={note intensity estimation of piano recordings by score-informed nmf},
year={2017},
volume={},
number={},
pages={},
doi={},
month={june},
abstract={while dynamics is an important characteristic in music performance, it has been rarely researched in automatic music transcription. we propose a method to estimate individual note intensities from a piano recording given pre-aligned score data of the recording. to this end, we use non-negative matrix factorization in a score-informed setting, where the basis vectors and weights are constrained to estimate harmonic note spectra and corresponding intensities, respectively. we examine various choices in the learning process including the use of synthesized note scale for initialization, type of spectrum, and temporal constraint. we evaluate our method using saarland music data and estimate note intensities in midi velocity. the results show that the proposed method makes an improvement compare to previous work.},}

TY - paper
TI - Note Intensity Estimation of Piano Recordings by Score-Informed NMF
SP - EP -
AU - Jeong, Dasaem
AU - Nam, Juhan
PY - 2017
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - June 2017 TY - paper
TI - Note Intensity Estimation of Piano Recordings by Score-Informed NMF
SP - EP -
AU - Jeong, Dasaem
AU - Nam, Juhan
PY - 2017
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - June 2017
AB - While dynamics is an important characteristic in music performance, it has been rarely researched in automatic music transcription. We propose a method to estimate individual note intensities from a piano recording given pre-aligned score data of the recording. To this end, we use non-negative matrix factorization in a score-informed setting, where the basis vectors and weights are constrained to estimate harmonic note spectra and corresponding intensities, respectively. We examine various choices in the learning process including the use of synthesized note scale for initialization, type of spectrum, and temporal constraint. We evaluate our method using Saarland Music Data and estimate note intensities in MIDI velocity. The results show that the proposed method makes an improvement compare to previous work.