Hendrik Purwins

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Klaus ObermayerProfessor, Fakultät IV - Electrical Engineering and Computer Science, Technische Universität BerlinDirección de correo verificada de tu-berlin.de
Benjamin BlankertzTechnische Universität Berlin, Neurotechnology groupDirección de correo verificada de tu-berlin.de
Ricard MarxerUniversité de ToulonDirección de correo verificada de univ-tln.fr
Perfecto Herrera BoyerMusic Technology Group, Universitat Pompeu FabraDirección de correo verificada de upf.edu
Marco MarchiniResearcher, Spotify, ParisDirección de correo verificada de spotify.com
Daniel MiklodyTechinsche Universität BerlinDirección de correo verificada de tu-berlin.de
Matthias TrederCardiff UniversityDirección de correo verificada de cardiff.ac.uk
Xavier SerraDepartment of Information and Communication Technologies, Universitat Pompeu Fabra (UPF), BarcelonaDirección de correo verificada de upf.edu
Maarten GrachtenIndependent Machine Learning ConsultantDirección de correo verificada de ofai.at
Olivier Houixchargé de recherche, STMS - Ircam - CNRS - UPMCDirección de correo verificada de ircam.fr
Maria PanteliDPG MediaDirección de correo verificada de persgroep.net
Henkjan HoningProfessor of Music Cognition, Faculty of Humanities & Faculty of Science, ILLC, UvADirección de correo verificada de uva.nl
Patrick SusiniSTMS (Ircam, CNRS, UPMC)Dirección de correo verificada de ircam.fr
Guillaume LemaitreInstitut de Recherche et de Création Acoustique MusiqueDirección de correo verificada de ircam.fr
Davide RocchessoFull Professor. Università degli Studi di PalermoDirección de correo verificada de unipa.it
Yon VisellUniversity of California, Santa BarbaraDirección de correo verificada de ece.ucsb.edu
Thore GraepelResearch Scientist, Google DeepMind, and Professor of Computer Science, UCLDirección de correo verificada de ucl.ac.uk
Sven DähneAmazonDirección de correo verificada de amazon.com
Bob L. SturmAssociate Professor, KTH Royal Institute of Technology, StockholmDirección de correo verificada de kth.se

Hendrik Purwins

AI Lead, Accenture, Emerging Technologies, Germany, Switzerland, Austria & Russia

Dirección de correo verificada de accenture.com - Página principal

Artificial Intelligence Predictive Maintenance Audio Signal Processing Applied Machine Learning Manufacturing


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Deep learning for audio signal processing H Purwins, B Li, T Virtanen, J Schlüter, SY Chang, T Sainath IEEE Journal of Selected Topics in Signal Processing 13 (2), 206-219, 2019	110	2019
Novel packet size-based covert channel attacks against anonymizer Z Ling, X Fu, W Jia, W Yu, D Xuan, J Luo IEEE Transactions on Computers 62 (12), 2411-2426, 2012	63*	2012
Decoding auditory attention to instruments in polyphonic music using single-trial EEG classification MS Treder, H Purwins, D Miklody, I Sturm, B Blankertz Journal of neural engineering 11 (2), 026009, 2014	61	2014
A new method for tracking modulations in tonal music in audio data format H Purwins, B Blankertz, K Obermayer Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000	59	2000
Profiles of pitch classes circularity of relative pitch and key-experiments, models, computational music analysis, and perspectives H Purwins Berlin http://opus4. kobv. de/opus4-tuberlin/files/1109/purwins_hendrik. pdf, 2005	51	2005
Sparse approximations for drum sound classification S Scholler, H Purwins IEEE Journal of Selected Topics in Signal Processing 5 (5), 933-940, 2011	41	2011
Computational models of music perception and cognition I: The perceptual and cognitive processing chain H Purwins, P Herrera, M Grachten, A Hazan, R Marxer, X Serra Physics of Life Reviews 5 (3), 151-168, 2008	39	2008
Regression methods for virtual metrology of layer thickness in chemical vapor deposition H Purwins, B Barak, A Nagi, R Engel, U Höckele, A Kyek, S Cherla, ... IEEE/ASME Transactions on Mechatronics 19 (1), 1-8, 2013	36	2013
Computational models of music perception and cognition II: Domain-specific music processing H Purwins, M Grachten, P Herrera, A Hazan, R Marxer, X Serra Physics of Life Reviews 5 (3), 169-182, 2008	29	2008
Toroidal models in tonal theory and pitch-class analysis. H Purwins, B Blankertz, K Obermayer Computing in musicology 15, 2007	25*	2007
Closing the loop of sound evaluation and design P Susini, N Misdariis, G Lemaitre, O Houix, D Rocchesso, P Polotti, ... Perceptual Quality of Systems 2 (4), 2006	25	2006
Correspondence analysis for visualizing interplay of pitch class, key, and composer H Purwins, T Graepel, B Blankertz, K Obermayer Perspectives in mathematical and computational music theory, Osnabrück …, 2004	24	2004
Unsupervised incremental online learning and prediction of musical audio signals R Marxer, H Purwins IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (5), 863-874, 2016	21*	2016
Computing auditory perception H Purwins, B Blankertz, K Obermayer Organised Sound 5 (3), 159-171, 2000	21	2000
Dynamical hierarchical self-organization of harmonic, motivic, and pitch categories R Marxer, P Holonowicz, H Purwins, A Hazan Music, Brain and Cognition. Part 2, 2007	20	2007
Constant Q profiles for tracking modulations in audio data P Purwins, B Blankertz, K Obermayer International Computer Music Conference, 2001	20	2001
Regression methods for prediction of PECVD Silicon Nitride layer thickness H Purwins, A Nagi, B Barak, U Höckele, A Kyek, B Lenz, G Pfeifer, ... 2011 IEEE International Conference on Automation Science and Engineering …, 2011	19	2011
What/when causal expectation modelling applied to audio signals A Hazan, R Marxer, P Brossier, H Purwins, P Herrera, X Serra Connection Science 21 (2-3), 119-143, 2009	19	2009
Sound texture synthesis with hidden markov tree models in the wavelet domain S Kersten, H Purwins Sound and Music Computing Conference, 2010	18	2010
Convolutional neural networks with batch normalization for classifying hi-hat, snare, and bass percussion sound samples N Gajhede, O Beck, H Purwins Proceedings of the Audio Mostly 2016, 111-115, 2016	16	2016

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