Semi-Supervised Convolutive NMF for Automatic Piano Transcription

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P. Smaragdis, “Convolutive speech bases and their application to supervised speech separation,” IEEE Transactions on Audio, Speech, and Language Processing , vol. 15, no. 1, pp. 1–12, 2006

2006

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E. Vincent, N. Bertin, and R. Badeau, “Harmonic and inharmonic nonnegative matrix factorization for polyphonic pitch transcription,” in 2008 IEEE International Conference on Acoustics, Speech and Signal Processing . IEEE, 2008, pp. 109–112

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E. Benetos, A. Klapuri, and S. Dixon, “Score-informed transcription for automatic piano tutoring,” in 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO) . IEEE, 2012, pp. 2153–2157

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S. Sigtia, E. Benetos, and S. Dixon, “An end-to-end neural network for polyphonic piano music transcription,” IEEE/ACM Transactions on Audio, Speech, and Language Processing , vol. 24, no. 5, pp. 927–939, 2016

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L. Gao, L. Su, Y.-H. Yang, and T. Lee, “Polyphonic piano note transcription with non-negative matrix factorization of differential spectrogram,” in 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2017, pp. 291–295

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2018

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C. Hawthorne, A. Stasyuk, A. Roberts, I. Simon, C.-Z. A. Huang, S. Dieleman, E. Elsen, J. Engel, and D. Eck, “Enabling factorized piano music modeling and generation with the MAESTRO dataset,” in International Conference on Learning Representations , 2019

2019

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V. Leplat, A. M. Ang, and N. Gillis, “Minimum-volume rank-deficient nonnegative matrix factorizations,” in 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2019, pp. 3402–3406

2019

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D. Fagot, H. Wendt, C. Févotte, and P. Smaragdis, “Majorization-minimization algorithms for convolutive NMF with the beta-divergence,” in 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2019, pp. 8202–8206

2019