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Note Intensity Estimation of Piano Recordings by Score-Informed NMF

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 framework, 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 (SMD) and estimate note intensities in MIDI velocity. The results show that the proposed method makes an improvement compared to previous work.