Note Intensity Estimation of Piano Recordings by Score-Informed NMF

Jeong D, Nam J. Note Intensity Estimation of Piano Recordings by Score-Informed NMF. In: AES Conference: 2017 AES International Conference on Semantic Audio. Audio Engineering Society; 2017. Paper 4-1. Available from: https://aes.org/publications/elibrary-page/?id=18759

@inproceedings{Jeong2017_18759,
  author = {Jeong, Dasaem and Nam, Juhan},
  title = {{Note Intensity Estimation of Piano Recordings by Score-Informed NMF}},
  booktitle = {AES Conference: 2017 AES International Conference on Semantic Audio},
  note = {Paper 4-1},
  year = {2017},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=18759}
}

TY  - CPAPER
TI  - Note Intensity Estimation of Piano Recordings by Score-Informed NMF
AU  - Jeong, Dasaem
AU  - Nam, Juhan
T2  - AES Conference: 2017 AES International Conference on Semantic Audio
M1  - Paper 4-1
PY  - 2017
DA  - 2017/06/06
UR  - https://aes.org/publications/elibrary-page/?id=18759
PB  - Audio Engineering Society
LA  - en
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.
ER  -