Deep learning and music adversaries C Kereliuk, BL Sturm, J Larsen IEEE Transactions on Multimedia 17 (11), 2059-2071, 2015 | 179 | 2015 |
A cross-validated study of modelling strategies for automatic chord recognition in audio JABLP Corey, KI Fujinaga ISMIR, 2007 | 42 | 2007 |
Sparse atomic modeling of audio: A review C Kereliuk, P Depalle Proc. of the 14th Int. Conference on Digital Audio Effects (DAFx-11), Paris …, 2011 | 24 | 2011 |
Improved hidden Markov model partial tracking through time-frequency analysis C Kereliuk, P Depalle Proceedings of the Digital Audio Effects (DAFx-08), 1-4, 2008 | 22 | 2008 |
Deep learning, audio adversaries, and music content analysis C Kereliuk, BL Sturm, J Larsen 2015 IEEE Workshop on Applications of Signal Processing to Audio and …, 2015 | 16 | 2015 |
Indirect acquisition of fingerings of harmonic notes on the flute C Kereliuk, B Scherrer, V Verfaille, P Depalle, MM Wanderley ICMC, 2007 | 16 | 2007 |
Tonal/transient structural separation for audio effects DJ Gillespie, R Wedelich, AM Agnello, C Kereliuk, S Lerman US Patent 10,430,154, 2019 | 15 | 2019 |
Modal analysis of room impulse responses using subband ESPRIT C Kereliuk, W Herman, R Wedelich, DJ Gillespie Proceedings of the International Conference on Digital Audio Effects, 2018 | 12 | 2018 |
A closer look at deep learning neural networks with low-level spectral periodicity features BL Sturm, C Kereliuk, A Pikrakis 2014 4th International Workshop on Cognitive Information Processing (CIP), 1-6, 2014 | 11 | 2014 |
¿El Caballo Viejo? Latin Genre Recognition with Deep Learning and Spectral Periodicity BL Sturm, C Kereliuk, J Larsen International Conference on Mathematics and Computation in Music, 335-346, 2015 | 6 | 2015 |
Audio interpolation and morphing via structured-sparse linear regression C Kereliuk, P Depalle, P Pasquier Proceedings of the Sound and Music Computing Conference 2013, 546-552, 2013 | 4 | 2013 |
Mode selection for modal reverb WQ Herman, R Wedelich, C Kereliuk US Patent 11,043,203, 2021 | 2 | 2021 |
Sparse and structured atomic modelling of audio C Kereliuk McGill University (Canada), 2012 | 2 | 2012 |
Augmenting the effective field of view of optical tracking cameras-a way to overcome difficulties during intraoperative camera alignment F Langlotz, CM Kereliuk, C Anderegg Computer Aided Surgery 11 (1), 31-36, 2006 | 1 | 2006 |
Sparse and structured audio decomposition based on time-frequence adjacency C Kereliuk, P Depalle | 1 | |
Are deep neural networks really learning relevant features? C Kereliuk, BL Sturm, J Larsen Digital Music Research Network 9, 2015 | | 2015 |
DEVICE FOR CONTROLLING THE MOVEMENT OF A CAMERA F LANGLOTZ, C KERELIUK WO Patent 2,005,076,033, 2005 | | 2005 |