Omnizart: A General Toolbox for Automatic Music Transcription

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C.-L. Hsu and J.-S. R. Jang, “On the improvement of singing voice separation for monaural recordings using the mir-1k dataset,” IEEE TASLP , vol. 18, no. 2, pp. 310–319, 2009

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J. Mora, F. Gómez, E. Gómez, F. Escobar-Borrego, and J. M. Díaz-Báñez, “Characterization and melodic similarity of a cappella flamenco cantes,” in Proc. ISMIR , 2010, pp. 9–13

2010

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M. Mauch and S. Dixon, “Approximate note transcription for the improved identification of difficult chords,” in Proc. ISMIR , 2010, pp. 135–140

2010

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L. Su and Y. Yang, “Combining Spectral and Temporal Representations for Multipitch Estimation of Polyphonic Music,” IEEE/ACM TASLP , vol. 23, no. 10, pp. 1600–1612, 2015

2015

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B. McFee, C. Raffel, D. Liang, D. P. Ellis, M. McVicar, E. Battenberg, and O. Nieto, “librosa: Audio and music signal analysis in python,” in Proceedings of the 14th python in science conference , vol. 8. Citeseer, 2015, pp. 18–25

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R. Kelz, M. Dorfer, F. Korzeniowski, S. Böck, A. Arzt, and G. Widmer, “On the Potential of Simple Framewise Approaches to Piano Transcription,” in Proc. ISMIR , 2016, pp. 475–481

2016

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S. Böck, F. Korzeniowski, J. Schlüter, F. Krebs, and G. Widmer, “Madmom: A new python audio and music signal processing library,” in Proc. ACM MM , 2016, pp. 1174–1178

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J. Thickstun, Z. Harchaoui, and S. M. Kakade, “Learning features of music from scratch,” in Proc. ICLR , 2017

2017

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C. Southall, C.-W. Wu, A. Lerch, and J. Hockman, “Mdb drums: An annotated subset of medleydb for automatic drum transcription,” 2017

2017

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Y.-T. Wu, B. Chen, and L. Su, “Automatic Music Transcription Leveraging Generalized Cepstral Features and Deep Learning,” in Proc. ICASSP , 2018, pp. 401–405

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C. Hawthorne, A. Stasyuk, A. Roberts, I. Simon, C. A. Huang, S. Dieleman, E. Elsen, J. H. Engel, and D. Eck, “Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset,” in Proc. ICLR , 2019

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Y. Yamada, M. Iwamura, T. Akiba, and K. Kise, “Shakedrop regularization for deep residual learning,” IEEE Access , vol. 7, pp. 186 126–186 136, 2019

2019

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T.-P. Chen and L. Su, “Harmony transformer: Incorporating chord segmentation into harmony recognition,” in Proc. ISMIR , 2019