| A hierarchical approach to automatic musical genre classification JMM Jose Proc. 6th Int. Conf. on Digital Audio Effects’ 03, 2003 | 224 | 2003 |
| Hierarchical automatic audio signal classification JJ Burred, A Lerch Journal of the Audio Engineering Society 52 (7/8), 724-739, 2004 | 140 | 2004 |
| Cracking the social code of speech prosody using reverse correlation E Ponsot, JJ Burred, P Belin, JJ Aucouturier Proceedings of the National Academy of Sciences 115 (15), 3972-3977, 2018 | 134 | 2018 |
| Dynamic spectral envelope modeling for timbre analysis of musical instrument sounds JJ Burred, A Robel, T Sikora IEEE Transactions on Audio, Speech, and Language Processing 18 (3), 663-674, 2009 | 75 | 2009 |
| Polyphonic instrument recognition using spectral clustering. LG Martins, JJ Burred, G Tzanetakis, M Lagrange ISMIR 2 (3), 6, 2007 | 52 | 2007 |
| CLEESE: An open-source audio-transformation toolbox for data-driven experiments in speech and music cognition JJ Burred, E Ponsot, L Goupil, M Liuni, JJ Aucouturier PloS one 14 (4), e0205943, 2019 | 48 | 2019 |
| Audio event detection based on layered symbolic sequence representations ML Chin, JJ Burred 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 35 | 2012 |
| Automatic segmentation of the temporal evolution of isolated acoustic musical instrument sounds using spectro-temporal cues MF Caetano, JJ Burred, X Rodet International Conference on Digital Audio Effects (DAFx-10), 11-21, 2010 | 34 | 2010 |
| From sparse models to timbre learning: new methods for musical source separation JJ Burred | 33 | 2009 |
| On the use of auditory representations for sparsity-based sound source separation JJ Burred, T Sikora 2005 5th International Conference on Information Communications & Signal …, 2005 | 30 | 2005 |
| Polyphonic musical instrument recognition based on a dynamic model of the spectral envelope JJ Burred, A Robel, T Sikora 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009 | 28 | 2009 |
| Adaptation of source-specific dictionaries in non-negative matrix factorization for source separation X Jaureguiberry, P Leveau, S Maller, JJ Burred 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 25 | 2011 |
| Detailed derivation of multiplicative update rules for NMF JJ Burred Paris, France, 2014 | 23 | 2014 |
| Comparison of subspace analysis-based and statistical model-based algorithms for musical instrument classification E Benetos, M Kotti, C Kotropoulos, JJ Burred, G Eisenberg, M Haller, ... 2nd Workshop On Immersive Communication And Broadcast Systems, 2005 | 21 | 2005 |
| Monaural Source Separation from Musical Mixtures Based on Time-Frequency Timbre Models. JJ Burred, T Sikora ISMIR, 149-152, 2007 | 20 | 2007 |
| Genetic motif discovery applied to audio analysis JJ Burred 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 19 | 2012 |
| An adaptive system for music classification and tagging JJ Burred, G Peeters Welcome to the 3rd International Workshop on Learning Semantics of Audio …, 2009 | 18 | 2009 |
| Speech-guided source separation using a pitch-adaptive guide signal model R Hennequin, JJ Burred, S Maller, P Leveau 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 15 | 2014 |
| Source-filter model for quasi-harmonic instruments H Hahn, A Röbel, JJ Burred, S Weinzierl Digital Audio Effects (DAFx), 1-1, 2010 | 14 | 2010 |
| Comparison of frequency-warped representations for source separation of stereo mixtures JJ Burred, T Sikora Audio Engineering Society Convention 121, 2006 | 14 | 2006 |
Thomas SikoraProfessor Technische Universitaet BerlinVerified email at nue.tu-berlin.de
