Search results
Results: 32
Number of items: 32
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Li, J., Baker, D. J., Burgoyne, J. A., & Honing, H. (2026). TuneTwins: An Intrinsically Motivating Game Paradigm for Scalable Music Cognition Research. (v1 ed.) PsyArXiv. https://doi.org/10.31234/osf.io/5zxqg_v2 -
Li, J., van Baalen, C. C., Baker, D. J., Burgoyne, J. A., Han, H., Henry, N., Lostanlen, V., Sadakata, M., van der Vlist, M. M. C., van Schaik, F. T. M., Janmaat, K., & Honing, H. (2026). Auditory Cue-weighting in BaYaka Forest-Foragers and Western Listeners. (v1 ed.) PsyArXiv. https://doi.org/10.31234/osf.io/jr3cy_v1 -
Jaffe, N., & Burgoyne, J. A. (2026). PHOTON: Non-Invasive Optical Tracking of Key-Lever Motion in Historical Keyboard Instruments. Proceedings of the International Conference on New Interfaces for Musical Expression, 2026, 722--729. https://doi.org/10.5281/zenodo.20784256 -
Jaffe, N., & Burgoyne, J. A. (2025, October 12). 2025 Metrics Bake-off: Listener Ratings and Separated Audio [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15843080
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Burgoyne, J. A., Spijkervet, J., & Baker, D. J. (2023). Measuring the Eurovision Song Contest: A Living Dataset for Real-World MIR. In A. Sarti, F. Antonacci, M. Sandler, P. Bestagini, S. Dixon, B. Liang, G. Richard, & J. Pauwels (Eds.), Proceedings of the 24th International Society for Music Information Retrieval Conference: Milan, Italy, November 5-9, 2023 (pp. 817-823). ISMIR. https://doi.org/10.5281/zenodo.10265415 -
Li, J., Baker, D. J., Burgoyne, J. A., & Honing, H. (2023). Is Pitch Information Indispensable for Music Recognition? A Pilot Study Based on a Musical Matching Pairs Game. In M. Tsuzaki, M. Sadakata, S. Ikegami, T. Matsui, M. Okano, & H. Shoda (Eds.), The e-proceedings of the 17th International Conference on Music Perception and Cognition and the 7th Conference of the Asia-Pacific Society for the Cognitive Sciences of Music (pp. 65-71). The Japanese Society for Music Perception and Cognition. https://jsmpc.org/ICMPC17/news/e-proceedings/ -
Vélez Vásquez, M. A., Baelemans, M., Driedger, J., Zuidema, W., & Burgoyne, J. A. (2023). Quantifying the ease of playing song chords on the guitar. In A. Sarti, F. Antonacci, M. Sandler, P. Bestagini, S. Dixon, B. Liang, G. Richard, & J. Pauwels (Eds.), Proceedings of the 24th International Society for Music Information Retrieval Conference: Milan, Italy, November 5-9, 2023 (pp. 725-732). ISMIR. https://doi.org/10.5281/zenodo.10265391 -
Vélez Vásquez, M. A., & Burgoyne, J. A. (2022). Tailed U-Net: Multi-Scale Music Representation Learning. In P. Rao, H. Murthy, A. Srinivasamurthy, R. Bittner, R. Caro Repetto, M. Goto, X. Serra, & M. Miron (Eds.), Proceedings of the 23rd International Society for Music Information Retrieval Conference: Bengaluru, India, December 04-08, 2022 (pp. 67-75). ISMIR. https://doi.org/10.5281/zenodo.7316596 -
Burgoyne, J. A., & Koops, H. V. (2021). We are Not Groupies. . . We are Band Aids’: Assessment Reliability in the AI Song Contest. Transactions of the International Society of Music Information Retrieval, 4, 236–247. https://doi.org/10.5334/tismir.102
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