Tillman Weyde
Cited by
Cited by
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
Improved speech enhancement with the wave-u-net
C Macartney, T Weyde
arXiv preprint arXiv:1811.11307, 2018
Using ontologies to enhance human understandability of global post-hoc explanations of black-box models
R Confalonieri, T Weyde, TR Besold, FM del Prado Martín
Artificial Intelligence 296, 103471, 2021
An efficient temporally-constrained probabilistic model for multiple-instrument music transcription
E Benetos, T Weyde
International Society for Music Information Retrieval Conference (ISMIR …, 2015
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
Trepan Reloaded: A Knowledge-driven Approach to Explaining Black-box Models.
R Confalonieri, T Weyde, T Besold, F Moscoso del Prado Martin
24th European Conference on Artificial Intelligence - ECAI 2020 325, 2457-64, 2020
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
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
An efficient shift-invariant model for polyphonic music transcription
E Benetos, S Cherla, T Weyde
Multi-time-scale convolution for emotion recognition from speech audio signals
E Guizzo, T Weyde, JB Leveson
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
RNN-based music language models for improving automatic music transcription
S Sigtia, E Benetos, S Cherla, T Weyde, A Garcez, S Dixon
M2U-Net: Effective and efficient retinal vessel segmentation for resource-constrained environments
T Laibacher, T Weyde, S Jalali
arXiv preprint arXiv:1811.07738, 2018
Accuracy and interpretability trade-offs in machine learning applied to safer gambling
S Sarkar, T Weyde, A Garcez, GG Slabaugh, S Dragicevic, C Percy
CEUR Workshop Proceedings 1773, 2016
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
The beyond the fence musical and computer says show documentary
S Colton, MT Llano, R Hepworth, J Charnley, CV Gale, A Baron, F Pachet, ...
arXiv preprint arXiv:2206.03224, 2022
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
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
Joint singing voice separation and f0 estimation with deep u-net architectures
A Jansson, RM Bittner, S Ewert, T Weyde
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
Learning music similarity from relative user ratings
D Wolff, T Weyde
Information retrieval 17, 109-136, 2014
What makes a good explanation? Cognitive dimensions of explaining intelligent machines.
R Confalonieri, TR Besold, T Weyde, K Creel, T Lombrozo, ST Mueller, ...
Proceedings of the 41st Annual Conference of the Cognitive Science Society …, 2019
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