Tom Collins
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A combined model of sensory and cognitive representations underlying tonal expectations in music: From audio signals to behavior.
T Collins, B Tillmann, FS Barrett, C Delbé, P Janata
Psychological Review 121 (1), 33, 2014
Applying modern psychometric techniques to melodic discrimination testing: Item response theory, computerised adaptive testing, and automatic item generation
PMC Harrison, T Collins, D Müllensiefen
Scientific Reports 7 (1), 3618, 2017
What is a podcast? Considering innovations in podcasting through the six-tensions framework
J Rime, C Pike, T Collins
Convergence 28 (5), 1260-1282, 2022
SIARCT-CFP: Improving Precision and the Discovery of Inexact Musical Patterns in Point-Set Representations.
T Collins, A Arzt, S Flossmann, G Widmer
ISMIR, 549-554, 2013
Improved methods for pattern discovery in music, with applications in automated stylistic composition
T Collins
The Open University, 2011
Developing and evaluating computational models of musical style
T Collins, R Laney, A Willis, PH Garthwaite
Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 1-28, 2015
A comparative evaluation of algorithms for discovering translational patterns in Baroque keyboard works
T Collins, J Thurlow, R Laney, A Willis, P Garthwaite
Impaired maintenance of interpersonal synchronization in musical improvisations of patients with borderline personality disorder
K Foubert, T Collins, J De Backer
Frontiers in Psychology 8, 537, 2017
Bridging the Audio-Symbolic Gap: The Discovery of Repeated Note Content Directly from Polyphonic Music Audio
T Collins, S Böck, F Krebs, G Widmer
Audio Engineering Society Conference: 53rd International Conference …, 2014
Computer–generated stylistic compositions with long–term repetitive and phrasal structure
T Collins, R Laney
Journal of Creative Music Systems 1 (2), 2017
Modeling Pattern Importance in Chopin's Mazurkas
T Collins, R Laney, A Willis, PH Garthwaite
Music Perception 28 (4), 387-414, 2011
A Brief Review of Creative MIR
E Humphery, D Trunbull, T Collins
Int. Conf. on Music Information Retrieval late-breaking news and demos, 2013
Using Geometric Symbolic Fingerprinting to Discover Distinctive Patterns in Polyphonic Music Corpora
T Collins, A Arzt, H Frostel, G Widmer
Computational Music Analysis, 445-474, 2016
Discovery of repeated themes and sections
T Collins
Retrieved 4th May, http://www. musicir. org/mirex/wiki/2013: Discovery of …, 2013
Deep learning’s shallow gains: a comparative evaluation of algorithms for automatic music generation
Z Yin, F Reuben, S Stepney, T Collins
Machine Learning 112 (5), 1785-1822, 2023
“A Good Algorithm Does Not Steal–It Imitates”: The Originality Report as a Means of Measuring When a Music Generation Algorithm Copies Too Much
Z Yin, F Reuben, S Stepney, T Collins
Artificial Intelligence in Music, Sound, Art and Design: 10th International …, 2021
Analyzing and classifying guitarists from rock guitar solo tablature
O Das, B Kaneshiro, T Collins
Proceedings of the Sound and Music Computing Conference, Limassol, Chypre, 2018
Constructing Maskanda
T Collins
South African Music Studies 26 (1), 1-26, 2008
Algorithmic Ability to Predict the Musical Future: Datasets and Evaluation.
B Janssen, T Collins, IY Ren
ISMIR, 208-215, 2019
Chopin, mazurkas and Markov: Making music in style with statistics
T Collins, R Laney, A Willis, PH Garthwaite
Significance 8 (4), 154-159, 2011
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Artikelen 1–20