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David S. Johnson
David S. Johnson
Center for Cognitive Interaction Technology (CITEC), Bielefeld University
Dirección de correo verificada de techfak.uni-bielefeld.de - Página principal
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Año
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
172020
Harmonic navigator: a gesture-driven, corpus-based approach to music analysis, composition, and performance
B Manaris, D Johnson, Y Vassilandonakis
Ninth Artificial Intelligence and Interactive Digital Entertainment Conference, 2013
172013
Vrmin: using mixed reality to augment the theremin for musical tutoring.
D Johnson, G Tzanetakis
NIME, 151-156, 2017
152017
Techniques Improving the Robustness of Deep Learning Models for Industrial Sound Analysis
DS Johnson, S Grollmisch
28th European Signal Processing Conference, 2020
142020
Detecting pianist hand posture mistakes for virtual piano tutoring
D Johnson, I Dufour, D Damian, G Tzanetakis
Proceedings of the international computer music conference, 166-170, 2016
132016
Detecting hand posture in piano playing using depth data
D Johnson, D Damian, G Tzanetakis
Computer Music Journal 43 (1), 59-78, 2020
122020
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
62020
OSC-XR: A toolkit for extended reality immersive music interfaces
D Johnson, D Damian, G Tzanetakis
16th Sound & Music Computing Conference (SMC2019), 2019
62019
Guitar model recognition from single instrument audio recordings
D Johnson, G Tzanetakis
2015 IEEE Pacific Rim Conference on Communications, Computers and Signal …, 2015
62015
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
52015
Kuatro: A Motion-Based Framework for Interactive Music Installations
D Johnson, BZ Manaris, Y Vassilandonakis, S Stoudenmier
ICMC, 2014
52014
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
42021
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
42020
Harmonic navigator: An innovative, gesture-driven user interface for exploring harmonic spaces in musical corpora
D Johnson, B Manaris, Y Vassilandonakis
International Conference on Human-Computer Interaction, 58-68, 2014
42014
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
32020
Visualizing Neural Network Decisions for Industrial Sound Analysis
S Grollmisch, D Johnson, J Liebetrau
SMSI 2020-Measurement Science, 267-268, 2020
22020
IAEO3-COMBINING OPENL3 EMBEDDINGS AND INTERPOLATION AUTOENCODER FOR ANOMALOUS SOUND DETECTION
S Grollmisch, D Johnson, J Abeßer, H Lukashevich
DCASE, 2020
22020
DAW-Integrated Beat Tracking for Music Production
B Dalton, D Johnson, G Tzanetakis
16th Sound & Music Computing Conference (SMC2019), 2019
22019
A novelty search and power-law-based genetic algorithm for exploring harmonic spaces in JS Bach chorales
B Manaris, D Johnson, Y Vassilandonakis
International Conference on Evolutionary and Biologically Inspired Music and …, 2014
22014
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
2021
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Artículos 1–20