Louis McCallum
Louis McCallum
Senior Lecturer, Creative Computing Institute, University of the Arts London
Verified email at - Homepage
Cited by
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Creating Latent Spaces for Modern Music Genre Rhythms Using Minimal Training Data
G Vigliensoni, L McCallum, R Fiebrink
Proceedings of ICCC 2020, 2020
Face the music and glance: How nonverbal behaviour aids human robot relationships based in music
L McCallum, PW McOwan
Proceedings of the Tenth Annual ACM/IEEE International Conference on Human …, 2015
Shut up and play: A musical approach to engagement and social presence in Human Robot Interaction
L McCallum, PW McOwan
The 23rd IEEE International Symposium on Robot and Human Interactive …, 2014
Supporting interactive machine learning approaches to building musical instruments in the browser
L McCallum, MS Grierson
Proceedings of the International Conference on New Interfaces for Musical …, 2020
Contemporary machine learning for audio and music generation on the web: current challenges and potential solutions
M Grierson, M Yee-King, L McCallum, C Kiefer, M Zbyszynski
Show us your screens [Video]
L McCallum, D Smith
Computer Music Jounral, 2011
Studio report: Sound synthesis with DDSP and network bending techniques
M Yee-King, L McCallum
Goldsmiths, University of London, 2021
Network Bending Neural Vocoders
L McCallum, M Yee-King
Proceedings of Machine Learning for Creativity and Design Workshop, NeurIPS 2020, 2020
R-VAE: Live latent space drum rhythm generation from minimal-size datasets
G Vigliensoni, L McCallum, E Maestre, R Fiebrink
Journal of Creative Music Systems 1 (1), 2022
Examining Student Coding Behaviours in Creative Computing Lessons using Abstract Syntax Trees and Vocabulary Analysis
M Yee-King, L McCallum, MT Llano, V Ruzicka, M d'Inverno, M Grierson
Proceedings of the 2020 ACM Conference on Innovation and Technology in …, 2020
Extending Human–Robot Relationships Based in Music With Virtual Presence
L McCallum, PW McOwan
IEEE Transactions on Cognitive and Developmental Systems 10 (4), 955-960, 2017
Executive Order
M Grierson, M Yee-King, L McCallum
NIME 2021, 2021
Generation and visualization of rhythmic latent spaces
G Vigliensoni, L McCallum, E Maestre, R Fiebrink
Proceedings of AI Music Conference 2020, 2020
Supporting Feature Engineering in End-User Machine Learning
L McCallum, R Fiebrink
Emerging Perspectives in Machine Learning Workshop, CHI 2019, 2019
Deep Melt
L McCallum, M Grierson, M Yee-King, C Kiefer
Contemporary music genre rhythm generation with machine learning
G Vigliensoni, L McCallum, E Maestre, R Fiebrink
Journal of Creative Music Systems 1 (1), 2022
The challenge of feature engineering in programming for moving bodies
L McCallum, R Fiebrink
NordiCHI ’20 Workshop on Programming for Moving Bodies, 2020
Actress x Stockhausen Sin {x} II
D Cunningham, L McCallum
Actress+ Young Paint Live AI/AV
D Cunningham, L McCallum
Friend Me Your Ears: A Musical Approach to Human-Robot Relationships.
L McCallum
Queen Mary University of London, 2016
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