Tillman Weyde

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Emmanouil BenetosQueen Mary University of London / The Alan Turing InstituteVerified email at qmul.ac.uk
Daniel WolffIRCAM Paris / FreelancerVerified email at city.ac.uk
Artur d'Avila GarcezCity, University of LondonVerified email at city.ac.uk
Andreas JanssonCity University, LondonVerified email at city.ac.uk
Simon DixonCentre for Digital Music, Queen Mary University of LondonVerified email at qmul.ac.uk
Kia NgICSRiM - University of LeedsVerified email at leeds.ac.uk
David MeredithAssociate Professor, Aalborg UniversityVerified email at create.aau.dk
Nicolas GoldAssociate Professor in Computer Science, University College LondonVerified email at ucl.ac.uk
Samer AbdallahJukedeck LimitedVerified email at jukedeck.com
Jason DykesCity, University of LondonVerified email at city.ac.uk
Alexander KachkaevPhD in GIS, City University LondonVerified email at city.ac.uk
Mark D. PlumbleyCentre for Vision, Speech and Signal Processing (CVSSP), University of SurreyVerified email at surrey.ac.uk
Siddharth SigtiaAppleVerified email at apple.com
Greg SlabaughProfessor, and Director of DERI, Queen Mary University of LondonVerified email at qmul.ac.uk
Paolo NesiUniversity of Florence, DINFO, DISIT LabVerified email at unifi.it
Nicolas Boulanger-LewandowskiGoogleVerified email at google.com
Marcus PearceSenior Lecturer in Sound and Music Processing, Queen Mary University of LondonVerified email at qmul.ac.uk
Andreas NürnbergerProfessor für Data and Knowledge Engineering, Otto-von-Guericke-Universität MagdeburgVerified email at ovgu.de
Sebastian StoberArtificial Intelligence Lab @ Otto von Guericke University MagdeburgVerified email at ovgu.de
Anders FribergKTH Royal Institute of TechnologyVerified email at kth.se

Tillman Weyde

Senior Lecturer in Computer Science, City University London

Verified email at city.ac.uk - Homepage

Machine Learning Time Series Music Informatics Deep Learning Architectures Artificial Intelligence


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Singing voice separation with deep U-Net convolutional networks A Jansson, E Humphrey, N Montecchio, R Bittner, A Kumar, T Weyde International Society for Music Information Retrieval, Suzhou, China …, 2017	257	2017
An efficient temporally-constrained probabilistic model for multiple-instrument music transcription E Benetos, T Weyde International Society for Music Information Retrieval Conference (ISMIR …, 2015	72	2015
3D augmented mirror: a multimodal interface for string instrument learning and teaching with gesture support KC Ng, T Weyde, O Larkin, K Neubarth, T Koerselman, B Ong Proceedings of the 9th international conference on Multimodal interfaces …, 2007	61	2007
An efficient shift-invariant model for polyphonic music transcription E Benetos, S Cherla, T Weyde	48	2013
A hybrid recurrent neural network for music transcription S Sigtia, E Benetos, N Boulanger-Lewandowski, T Weyde, ASA Garcez, ... 2015 IEEE international conference on acoustics, speech and signal …, 2015	41	2015
Improved speech enhancement with the wave-u-net C Macartney, T Weyde arXiv preprint arXiv:1811.11307, 2018	40	2018
RNN-based music language models for improving automatic music transcription S Sigtia, E Benetos, S Cherla, T Weyde, A Garcez, S Dixon	38	2014
An approach to melodic segmentation and classification based on filtering with the Haar-wavelet G Velarde, T Weyde, D Meredith Journal of New Music Research 42 (4), 325-345, 2013	36	2013
Automatic transcription of pitched and unpitched sounds from polyphonic music E Benetos, S Ewert, T Weyde 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014	31	2014
M2u-net: Effective and efficient retinal vessel segmentation for real-world applications T Laibacher, T Weyde, S Jalali Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	26*	2019
The beyond the fence musical and computer says show documentary S Colton, T Llano, R Hepworth, J Charnley, C Gale, A Baron, F Pachet, ...	22	2016
i-Maestro: Technology-Enhanced Learning and Teaching for Music. K Ng, P Nesi NIME, 225-228, 2008	20	2008
The digital music lab: A big data infrastructure for digital musicology S Abdallah, E Benetos, N Gold, S Hargreaves, T Weyde, D Wolff Journal on Computing and Cultural Heritage (JOCCH) 10 (1), 1-21, 2017	19	2017
Learning music similarity from relative user ratings D Wolff, T Weyde Information retrieval 17 (2), 109-136, 2014	19	2014
Explicit duration hidden markov models for multiple-instrument polyphonic music transcription E Benetos, T Weyde	19	2013
Adapting Metrics for Music Similarity Using Comparative Ratings. D Wolff, T Weyde ISMIR, 73-78, 2011	19	2011
Template adaptation for improving automatic music transcription E Benetos, R Badeau, T Weyde, G Richard	16	2014
Integrating segmentation and similarity in melodic analysis T Weyde Proceedings of the International Conference on Music Perception and …, 2002	16	2002
A Distributed Model For Multiple-Viewpoint Melodic Prediction. S Cherla, T Weyde, A Garcez, M Pearce ISMIR, 15-20, 2013	15	2013
A systematic comparison of music similarity adaptation approaches D Wolff, S Stober, A Nürnberger, T Weyde ISMIR, 103-108, 2012	15	2012

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