Searching for musical features using natural language queries - Research Database, The University of York

“A Good Algorithm Does Not Steal – It Imitates”: The Originality Report as a Means of Measuring When a Music Generation Algorithm Copies Too Much
Yin, Z., Reuben, F., Stepney, S. & Collins, T., 2 Apr 2021, Artificial Intelligence in Music, Sound, Art and Design. EvoMUSART 2021. Springer, Vol. 12693. p. 360-375 16 p. 24. (Lecture Notes in Computer Science).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Algorithmic ability to predict the musical future: Datasets and evaluation
Janssen, B., Collins, T. & Ren, I., 2019, p. 208-215. 8 p.
Research output: Contribution to conference › Paper › peer-review
MAIA Util: An NPM package for bridging web audio with music-theoretic concepts
Collins, T. & Coulon, C., 2019, p. 47-52.
Research output: Contribution to conference › Paper › peer-review
An initial computational model for musical schemata theory
Katsiavalos, A., Battey, B. & Collins, T., 2019, p. 166-172.
Research output: Contribution to conference › Paper › peer-review
Applying modern psychometric techniques to melodic discrimination testing: Item response theory, computerised adaptive testing, and automatic item generation
Harrison, P., Collins, T. & Müllensiefen, D., 15 Jun 2017, (E-pub ahead of print)
Article in Scientific Reports

Searching for musical features using natural language queries: the C@merata evaluations at MediaEval

Research output: Contribution to journal › Article › peer-review

Journal	Language Resources and Evaluation
Date	E-pub ahead of print - 12 Aug 2018
Date	Published (current) - 31 Mar 2019
Issue number	1
Volume	53
Pages (from-to)	87-140
Early online date	12/08/18
Original language	English

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