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Maciek Tomczak
Maciek Tomczak
PhD in Deep Generative Modelling, Birmingham City University
Verified email at bcu.ac.uk - Homepage
Title
Cited by
Cited by
Year
Adversarial synthesis of drum sounds
J Drysdale, M Tomczak, J Hockman
Proceedings of the 23rd International Conference on Digital Audio Effects …, 2020
182020
Audio style transfer with rhythmic constraints
M Tomczak, C Southall, J Hockman
Proceedings of the International Conference on Digital Audio Effects (DAFx), 2018
142018
Drum synthesis and rhythmic transformation with adversarial autoencoders
M Tomczak, M Goto, J Hockman
Proceedings of the 28th ACM International Conference on Multimedia, 2427-2435, 2020
102020
Style-based drum synthesis with GAN inversion
J Drysdale, M Tomczak, J Hockman
Extended Abstracts for the Late-Breaking Demo Session of the 22nd Int …, 2021
52021
Drum Translation for Timbral and Rhythmic Transformation
M Tomczak, J Drysdale, J Hockman
Proceedings of the International Conference on Digital Audio Effects (DAFx), 2019
52019
Note, cut and strike detection for traditional Irish flute recordings
I Ali-MacLachlan, M Tomczak, C Southall, J Hockman
Technological University Dublin, 2016
52016
Player recognition for traditional Irish flute recordings
I Ali-MacLachlan, C Southall, M Tomczak, J Hockman
Proceedings of the 8th International Workshop on Folk Music Analysis (FMA), 3-7, 2018
42018
Improved onset detection for traditional Irish flute recordings using convolutional neural networks
I Ali-MacLachlan, C Southall, M Tomczak, J Hockman
Proceedings of the 7th International Workshop on Folk Music Analysis (FMA), 4, 2017
32017
Annotation of soft onsets in string ensemble recordings
M Tomczak, MS Li, A Bradbury, M Elliott, R Stables, M Witek, T Goodman, ...
arXiv preprint arXiv:2211.08848, 2022
12022
The salience of MFCC semantic classification on electric guitar recordings
M Tomczak, R Stables
Bachelor's thesis. Birmingham City University, 2015
12015
Automated Rhythmic Transformation of Drum Recordings
M Tomczak
Birmingham City University, 2023
2023
Virtuoso Strings: A Dataset of String Ensemble Recordings and Onset Annotations for Timing Analysis
M Tomczak, MS Li, M Di Luca
Ismir 2023 Hybrid Conference, 2023
2023
Onset Detection for String Instruments Using Bidirectional Temporal and Convolutional Recurrent Networks
M Tomczak, J Hockman
Proceedings of the 18th International Audio Mostly Conference, 136-142, 2023
2023
Tempo change and leadership in ensemble synchronisation: a case study
MS Li, M Tomczak, M Elliot, A Bradbury, T Goodman, D Abdulkarim, ...
2023
Effect of leadership change on microtiming patterns in string quartet
M Tomczak, MS Li, M Witek, J Hockman
2023
Adaptive metronome: a MIDI plug-in for modelling cooperative timing in music ensembles
S Enderby, R Stables, J Hockman, M Tomczak, A Wing, M Elliot, ...
2023
Padded bGLS-an approach for near real-time estimation of synchronisation parameters for ensemble musicians
T Goodman, MS Li, B Oronti, M Tomczak, J Hockman, M Witek, A Wing, ...
2023
Annotation variance analysis for optimal feedback correction
IB Oronti, T Goodman, MS Li, M Tomczak, J Hockman, M Witek, A Wing, ...
2023
Deep audio effects for snare drum recording transformations
M Cheshire, J Drysdale, S Enderby, M Tomczak, J Hockman
Journal of the Audio Engineering Society 70 (9), 742-752, 2022
2022
Improved onset detection for traditional flute recordings using convolutional neural networks
J Hockman, I Ali-MacLachlan, M Tomczak, C Southall
2017
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