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A Timbre-based Approach to Estimate Key Velocity from Polyphonic Piano Recordings

Dasaem Jeong, Taegyun Kwon, Juhan Nam
2018 Zenodo  
Estimating the key velocity of each note from polyphonic piano music is a highly challenging task. Previous work addressed the problem by estimating note intensity using a polyphonic note model.  ...  Combining the note intensity from the separated notes with the statistics of the neural network prediction, the proposed method estimates the key velocity in the dimension of MIDI note velocity.  ...  ACKNOWLEDGEMENTS This research was supported/partially supported by Samsung Research Funding & Incubation Center for Future Research.  ... 
doi:10.5281/zenodo.1492359 fatcat:rvoqsw6a2vdzfheqgppvmvlmkm

Score-Informed Source Separation for Music Signals

Sebastian Ewert, Meinard Müller, Marc Herbstritt
2012 Dagstuhl Publications  
In particular, additional note information as specified by a musical score or a MIDI file has been employed to support various audio processing tasks such as source separation, audio parameterization,  ...  In recent years, the processing of audio recordings by exploiting additional musical knowledge has turned out to be a promising research direction.  ...  In a final step, the individual note intensities are estimated using the adapted note-event spectrograms described by the model.  ... 
doi:10.4230/dfu.vol3.11041.73 dblp:conf/dagstuhl/EwertM12 fatcat:eobsimoinjf5vcnpg4leewbctm

An Assessment of Learned Score Features for Modeling Expressive Dynamics in Music

Maarten Grachten, Florian Krebs
2014 IEEE transactions on multimedia  
The purpose of this paper is to evaluate the utility of unsupervised feature learning in the context of modeling expressive dynamics, in particular note intensities of performed music.  ...  The experiments are done using a data set comprising professional performances of Chopin's complete piano repertoire.  ...  in note intensity is explained by the models.  ... 
doi:10.1109/tmm.2014.2311013 fatcat:quo5uwabdrcblltoqiimtlvoii

Semi-Supervised Convolutive NMF for Automatic Piano Transcription [article]

Haoran Wu, Axel Marmoret, Jérémy E. Cohen
2022 arXiv   pre-print
In the semi-supervised setting, only a single recording of each individual notes is required.  ...  Automatic Music Transcription, which consists in transforming an audio recording of a musical performance into symbolic format, remains a difficult Music Information Retrieval task.  ...  Other works have also considered enriching NMF with several templates per note albeit not using convolution, typically by fusing rows of the estimated H matrix a posteriori [13] [14] [15] .  ... 
arXiv:2202.04989v2 fatcat:iatxmebsfrdkplzqdpoa73tqpi

Automatic music transcription: challenges and future directions

Emmanouil Benetos, Simon Dixon, Dimitrios Giannoulis, Holger Kirchhoff, Anssi Klapuri
2013 Journal of Intelligent Information Systems  
Other promising approaches include the integration of information from multiple algorithms and different musical aspects.  ...  J Intell Inf Syst audio data now available are a rich potential source of training data, via forced alignment of audio to scores, but large scale utilisation of such data has yet to be attempted.  ...  As far as dynamics are concerned, in Ewert and Müller (2011) a method was proposed for estimating note intensities in a score-informed scenario.  ... 
doi:10.1007/s10844-013-0258-3 fatcat:olfkl6jj7jhl3nxcy6td6qgdj4

Automatic Music Transcription: Breaking The Glass Ceiling

Emmanouil Benetos, Simon Dixon, Dimitrios Giannoulis, Holger Kirchhoff, Anssi Klapuri
2012 Zenodo  
As far as dynamics are concerned, in [15] a method was proposed for estimating note intensities in a score-informed scenario.  ...  [38] ), which automatically contain intensity information such as MIDI note velocities.  ... 
doi:10.5281/zenodo.1415088 fatcat:rfrzyhmfebaanppofxfcbxgei4

Score-Informed Identification Of Missing And Extra Notes In Piano Recordings

Sebastian Ewert, Siying Wang, Meinard Müller, Mark B. Sandler
2016 Zenodo  
Acknowledgements: This work was partly funded by EP-SRC grant EP/L019981/1.  ...  Sandler acknowledges the support of the Royal Society as a recipient of a Wolfson Research Merit Award.  ...  "Score-Informed Identification of Missing and Extra Notes in Piano Recordings", 17th International Society for Music Information Retrieval Conference, 2016.  ... 
doi:10.5281/zenodo.1418317 fatcat:gqr2iifkzzgu5owcgo53ghtfnm

A Study on Separation Method Combined Gamma-Process Non-negative Matrix Factorization and Deep Learning

Jomae Satoru, Kenko Ota, Hideaki Yoshino
2019 Proceedings of the ICA congress  
The basis estimated by GaP-NMF is emphasized by multiplying with the spectrum template of musical instruments which is specified by DNN.  ...  In the proposed method, we first estimate the basis with GaP-NMF. Then, DNN classifies the estimated basis according to musical instruments.  ...  The basis matrix which is estimated by GaP -NMF is not a set of the spectrum of a single tone.  ... 
doi:10.18154/rwth-conv-239719 fatcat:lxxb646wzrbdlhmm5xoitjpq3y

Identifying Missing and Extra Notes in Piano Recordings Using Score-Informed Dictionary Learning

Siying Wang, Sebastian Ewert, Simon Dixon
2017 IEEE/ACM Transactions on Audio Speech and Language Processing  
By adapting a scoreinformed dictionary learning technique as used for source separation, we learn for each score pitch a spectral pattern describing the energy distribution of associated notes in the recording  ...  The goal of automatic music transcription (AMT) is to obtain a high-level symbolic representation of the notes played in a given audio recording.  ...  CONCLUSION In this paper, we introduce a score-informed transcription method to identify missing and extra notes in piano recordings.  ... 
doi:10.1109/taslp.2017.2724203 fatcat:mpc7nybh4rgmzhkpzlujwyxxp4

Evaluation of the Convolutional NMF for Supervised Polyphonic Music Transcription and Note Isolation [chapter]

Stanislaw Gorlow, Jordi Janer
2015 Lecture Notes in Computer Science  
We evaluate the convolutive nonnegative matrix factorization in the context of automatic music transcription of polyphonic piano recordings and the associated problem of note isolation.  ...  Our intention is to find out whether the temporal continuity of piano notes is truthfully captured by the convolutional kernels and how the performance scales with complexity.  ...  separate note recordings.  ... 
doi:10.1007/978-3-319-22482-4_51 fatcat:nay6iplm7nalhky6h7gtdvmvsm

Onsets and Frames: Dual-Objective Piano Transcription [article]

Curtis Hawthorne, Erich Elsen, Jialin Song, Adam Roberts, Ian Simon, Colin Raffel, Jesse Engel, Sageev Oore, Douglas Eck
2018 arXiv   pre-print
We advance the state of the art in polyphonic piano music transcription by using a deep convolutional and recurrent neural network which is trained to jointly predict onsets and frames.  ...  Our approach results in over a 100% relative improvement in note F1 score (with offsets) on the MAPS dataset.  ...  While various studies have considered the estimation of dynamics (note intensities or velocities) in a recording given the score [10, 22, 26] , to our knowledge there has been no work in the literature  ... 
arXiv:1710.11153v2 fatcat:pc7zcl337bd3linf3bevkwi4je

Onsets and Frames: Dual-Objective Piano Transcription

Curtis Hawthorne, Erich Elsen, Jialin Song, Adam Roberts, Ian Simon, Colin Raffel, Jesse Engel, Sageev Oore, Douglas Eck
2018 Zenodo  
We advance the state of the art in polyphonic piano music transcription by using a deep convolutional and recurrent neural network which is trained to jointly predict onsets and frames.  ...  Our approach results in over a 100% relative improvement in note F1 score (with offsets) on the MAPS dataset.  ...  While various studies have considered the estimation of dynamics (note intensities or velocities) in a recording given the score [10, 22, 26] , to our knowledge there has been no work in the literature  ... 
doi:10.5281/zenodo.1492340 fatcat:beja2zsu4jgudbhkja4lhqb2qe

Generative Spectrogram Factorization Models for Polyphonic Piano Transcription

P.H. Peeling, A.T. Cemgil, S.J. Godsill
2010 IEEE Transactions on Audio, Speech, and Language Processing  
Index Terms-Frequency estimation, matrix decomposition, music information retrieval (MIR), spectral analysis, time-frequency analysis. 2  ...  The performance of the system is compared to that of existing discriminative and model-based approaches on a dataset of solo piano music.  ...  This table Table II by splitting the test data into the recorded piano extracts and the MIDI synthesized extracts.  ... 
doi:10.1109/tasl.2009.2029769 fatcat:le6sa5kqyvfyxnciiu5rwdphya

Audio Source Separation Using Multiple Deformed References

Frédéric Bimbot, Anaïk Olivero, Nathan Souviraà-Labastie, Emmanuel Vincent
2014 Zenodo  
Publication in the conference proceedings of EUSIPCO, Lisbon, Portugal, 2014  ...  For instance, text-informed separation [9] , score informed [6] , separation by humming [11] , cover guided separation [10] are some of them.  ...  More recently, a number of approaches have been proposed to exploit information about the recording conditions, the musical score [6] , the fundamental frequency 0 [7] , the language model [8] , the  ... 
doi:10.5281/zenodo.43873 fatcat:vwljdj462bhgzeau72tjf6fxey

Generating Data To Train Convolutional Neural Networks For Classical Music Source Separation

Marius Miron, Jordi Janer, Emilia Gómez
2017 Proceedings of the SMC Conferences  
Acknowledgments The TITANX used for this research was donated by the Proceedings of the 14th Sound and Music Computing Conference, July 5-8, Espoo, Finland SMC2017-232  ...  Although successful, informed NMF approaches are computationally intensive, which makes them difficult to use in a low latency scenario.  ...  Because we deal with a score-constrained scenario and for a fair comparison, the gains of the NMF are restricted to the notes in the score, without taking into account the time when the notes are played  ... 
doi:10.5281/zenodo.1401922 fatcat:z4bq6dksynhodglcsybhby34iu
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