Evaluating the effectiveness of mixed reality music instrument learning with the theremin D Johnson, D Damian, G Tzanetakis Virtual Reality 24 (2), 303-317, 2020 | 40 | 2020 |
Detecting hand posture in piano playing using depth data D Johnson, D Damian, G Tzanetakis Computer Music Journal 43 (1), 59-78, 2020 | 34 | 2020 |
Techniques Improving the Robustness of Deep Learning Models for Industrial Sound Analysis DS Johnson, S Grollmisch 28th European Signal Processing Conference, 2020 | 26 | 2020 |
Open crowdre challenges in software ecosystems D Johnson, J Tizard, D Damian, K Blincoe, T Clear 2020 4th international workshop on crowd-based requirements engineering …, 2020 | 20 | 2020 |
Vrmin: using mixed reality to augment the theremin for musical tutoring. D Johnson, G Tzanetakis NIME, 151-156, 2017 | 20 | 2017 |
Detecting pianist hand posture mistakes for virtual piano tutoring D Johnson, I Dufour, D Damian, G Tzanetakis Proceedings of the international computer music conference, 168-171, 2016 | 18 | 2016 |
Desed-fl and urban-fl: Federated learning datasets for sound event detection DS Johnson, W Lorenz, M Taenzer, S Mimilakis, S Grollmisch, J Abeßer, ... 2021 29th European signal processing conference (EUSIPCO), 556-560, 2021 | 16 | 2021 |
Harmonic navigator: a gesture-driven, corpus-based approach to music analysis, composition, and performance B Manaris, D Johnson, Y Vassilandonakis Proceedings of the AAAI Conference on Artificial Intelligence and …, 2013 | 16 | 2013 |
OSC-XR: A toolkit for extended reality immersive music interfaces D Johnson, D Damian, G Tzanetakis 16th Sound & Music Computing Conference (SMC2019), 2019 | 15 | 2019 |
Challenges and strategies for managing requirements selection in software ecosystems D Damian, J Linåker, D Johnson, T Clear, K Blincoe IEEE Software 38 (6), 76-87, 2021 | 8 | 2021 |
Plastic Material Classification using Neural Network based Audio Signal Analysis S Grollmisch, D Johnson, T Krüger, J Liebetrau SMSI 2020-Measurement Science, 337-338, 2020 | 7 | 2020 |
Compressed Air Leakage Detection Using Acoustic Emissions with Neural Networks D Johnson, J Kirner, S Grollmisch, J Liebetrau International Congress and Exposition on Noise Control Engineering (Inter …, 2020 | 7 | 2020 |
IAEO3-COMBINING OPENL3 EMBEDDINGS AND INTERPOLATION AUTOENCODER FOR ANOMALOUS SOUND DETECTION S Grollmisch, D Johnson, J Abeßer, H Lukashevich DCASE, 2020 | 7 | 2020 |
Guitar model recognition from single instrument audio recordings D Johnson, G Tzanetakis 2015 IEEE Pacific Rim Conference on Communications, Computers and Signal …, 2015 | 6 | 2015 |
Kuatro: A Motion-Based Framework for Interactive Music Installations D Johnson, BZ Manaris, Y Vassilandonakis, S Stoudenmier ICMC, 2014 | 6 | 2014 |
Diving into Infinity: A Motion-Based, Immersive Interface for MC Escher’s Works B Manaris, D Johnson, M Rourk Proc. of the 21st International Symposium on Electronic Art (ISEA 2015), 2015 | 5 | 2015 |
Harmonic navigator: An innovative, gesture-driven user interface for exploring harmonic spaces in musical corpora D Johnson, B Manaris, Y Vassilandonakis Human-Computer Interaction. Advanced Interaction Modalities and Techniques …, 2014 | 5 | 2014 |
Towards interpretability in audio and visual affective machine learning: A review DS Johnson, O Hakobyan, H Drimalla arXiv preprint arXiv:2306.08933, 2023 | 2 | 2023 |
Visualizing Neural Network Decisions for Industrial Sound Analysis S Grollmisch, D Johnson, J Liebetrau SMSI 2020-Measurement Science, 267-268, 2020 | 2 | 2020 |
DAW-Integrated Beat Tracking for Music Production B Dalton, D Johnson, G Tzanetakis 16th Sound & Music Computing Conference (SMC2019), 2019 | 2 | 2019 |