Doctor Andrew Milne
Senior Research Fellow in Music Cognition & Computation,
MARCS Institute for Brain, Behaviour & Development
I am a Senior Research Fellow in Music Cognition and Computation at in the School of Humanities and Communication Arts (seconded to the MARCS Institute for Brain, Behaviour and Development), Western Sydney University. As a member of the Music Cognition and Action research program, I develop computational models of music perception/cognition, and use these models to drive creative musical outputs and to inform the development of educational tools.
I joined the MARCS Institute as a postdoctoral research fellow in late 2013, shortly after completing my PhD in Computational Musicology at The Open University, UK. In 2016, I won an ARC DECRA award ($369,000) for a three-year research project entitled "Uncovering Universal Mechanisms for the Communication of Emotion."
My current research focus is on tonality and meter; for example, using perceptual and cognitive processes to explain why differing successions of chords induce differing feelings of expectation and resolution. My research also engages with new musical interfaces, including the algorithmic generation of music, as exemplified by my suite of free music applications available at the Dynamic Tonality website, which includes the widely used musical loop generator XronoMorph.
This information has been contributed by Doctor Milne.
- PhD The Open University
- MA University of Jyvaskyla
- ARC DECRA (DE170100353) 2017-02-01
- Musical Interfaces
- Cognitive Science
- Computational Modelling
- Music Composition
- Music and Emotion
Organisational Unit (School / Division)
- MARCS Institute for Brain, Behaviour & Development
- MARCS Institute Research Committee
|Phone:||(02) 9772 6151|
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Previous Teaching Areas
- 100980 Psychology Honours Thesis, 2016
- 100980 Psychology Honours Thesis, 2017
- 100980 Psychology Honours Thesis, 2018
- 101541 Advanced Topics in Psychology, 2018
- 101541 Advanced Topics in Psychology, 2019
- 101680 Perception, 2016
- 101680 Perception, 2017
- 101680 Perception, 2018
- 101680 Perception, 2019
- 102561 Digital Musicianship, 2018
- 102758 Interactive Electronic Media and Performance, 2020
- 102761 Electronic Music Production, 2020
- 102783 Perception (online), 2020
- 300579 Professional Experience, 2020
- 800168 Research Fields, 2016
- 800173 Cognitive Science: Research and Application, 2015
- 800173 Cognitive Science: Research and Application, 2016
- 800173 Cognitive Science: Research and Application, 2017
- 800173 Cognitive Science: Research and Application, 2018
- 800193 Master of Research Thesis Examination, 2016
Chapters in Books
- Milne, A. and Olsen, K. (2021), 'Pitch, timbre, and rhythm', The Science and Psychology of Music, ABC-CLIO 9781440857713.
- Hilton, C., Calilhanna, A. and Milne, A. (2019), 'Visualizing and sonifying mathematical music theory with software applications : implications of computer-based models for practice and education', Theoretical and Practical Pedagogy of Mathematical Music Theory: Music for Mathematics and Mathematics for Music, Form School to Postgraduate Levels, World Scientific Publishing 9789813228344.
- Milne, A. (2019), 'XronoMorph : investigating paths through rhythmic space', New Directions in Music and Human-Computer Interaction, Springer 9783319920689.
- Milne, A. (2018), 'Linking sonic aesthetics with mathematical theories', The Oxford Handbook of Algorithmic Music, Oxford University Press 9780190226992.
- Smit, E. and Milne, A. (2021), 'The need for composite models of music perception : consonance in tuning systems (familiar or unfamiliar) cannot be explained by a single predictor', Music Perception, vol 38, no 3 , pp 335 - 336.
- MacRitchie, J., Breaden, M., Milne, A. and McIntyre, S. (2020), 'Cognitive, motor and social factors of music instrument training programs for older adults' improved wellbeing', Frontiers in Psychology, vol 10 .
- Smit, E., Dobrowohl, F., Schaal, N., Milne, A. and Herff, S. (2020), 'Perceived emotions of harmonic cadences', Music and Science, vol 3 , pp 1 - 13.
- Milne, A. and Herff, S. (2020), 'The perceptual relevance of balance, evenness, and entropy in musical rhythms', Cognition, vol 203 .
- Herff, S., Herff, C., Milne, A., Johnson, G., Shih, J. and Krusienski, D. (2020), 'Prefrontal high gamma in ECoG tags periodicity of musical rhythms in perception and imagination', eNeuro, vol 7, no 4 , pp 1 - 11.
- Smit, E., Milne, A., Dean, R. and Weidemann, G. (2020), '[In Press] Making the unfamiliar familiar : the effect of exposure on ratings of unfamiliar musical chords', Musicae Scientiae, .
- Dobrowohl, F., Milne, A. and Dean, R. (2019), 'Timbre preferences in the context of mixing music', Applied Sciences, vol 9, no 8 .
- Dean, R., Milne, A. and Bailes, F. (2019), 'Spectral pitch similarity is a predictor of perceived change in sound- as well as note-based music', Music and Science, vol 2 , pp 1 - 14.
- Dobrowohl, F., Milne, A. and Dean, R. (2019), 'Controlling perception thresholds for changing timbres in continuous sounds', Organised Sound, vol 24, no Special Issue 1 , pp 71 - 84.
- Smit, E., Milne, A., Dean, R. and Weidemann, G. (2019), 'Perception of affect in unfamiliar musical chords', PLoS One, vol 14, no 6 .
- Taylor, J. and Milne, A. (2019), 'The Rhythmotron', Leonardo Music Journal, vol 29 , pp 67 - 72.
- Stanford, S., Milne, A. and MacRitchie, J. (2018), 'The effect of isomorphic pitch layouts on the transfer of musical learning', Applied Sciences, vol 8, no 12 .
- MacRitchie, J. and Milne, A. (2017), 'Exploring the effects of pitch layout on learning a new musical instrument', Applied Sciences, vol 7, no 12 .
- Milne, A., Bulger, D. and Herff, S. (2017), 'Exploring the space of perfectly balanced rhythms and scales', Journal of Mathematics and Music, vol 11, no 2-3 , pp 101 - 133.
- Milne, A. and Dean, R. (2016), 'Computational creation and morphing of multi-level rhythms by control of evenness', Computer Music Journal, vol 40, no 1 , pp 35 - 53.
- Milne, A., Laney, R. and Sharp, D. (2016), 'Testing a spectral model of tonal affinity with microtonal melodies and inharmonic spectra', Musicae Scientiae, vol 20, no 4 , pp 465 - 494.
- Milne, A. and Holland, S. (2016), 'Empirically testing Tonnetz, voice-leading, and spectral models of perceived triadic distance', Journal of Mathematics and Music, vol 10, no 1 , pp 59 - 85.
- Milne, A., Laney, R. and Sharp, D. (2015), 'A spectral pitch class model of the probe tone data and scalic tonality', Music Perception, vol 32, no 4 , pp 364 - 393.
- Prechtl, A., Milne, A., Holland, S., Laney, R. and Sharp, D. (2012), 'A MIDI sequencer that widens access to the compositional possibilities of novel tunings', Computer Music Journal, vol 36, no 1 , pp 42 - 54.
- Milne, A., Sethares, W., Laney, R. and Sharp, D. (2011), 'Modelling the similarity of pitch collections with expectation tensors', Journal of Mathematics and Music, vol 5, no 1 , pp 1 - 20.
- Sethares, W., Milne, A., Tiedje, S., Prechtl, A. and Plamondon, J. (2009), 'Spectral tools for dynamic tonality and audio morphing', Computer Music Journal, vol 33, no 2 , pp 71 - 84.
- Milne, A., Sethares, W. and Plamondon, J. (2008), 'Tuning continua and keyboard layouts', Journal of Mathematics and Music, vol 2, no 1 , pp 1 - 19.
- Milne, A., Sethares, W. and Plamondon, J. (2007), 'Isomorphic controllers and dynamic tuning : invariant fingering over a tuning continuum', Computer Music Journal, vol 31, no 4 , pp 15 - 32.
- Milne, A. and Calilhanna, A. (2019), 'Teaching music with mathematics : a pilot study', International Conference on Mathematics and Computation in Music, Madrid, Spain.
- Hearne, G., Milne, A. and Dean, R. (2019), 'Distributional analysis of n-dimensional feature space for 7-note scales in 22-TET', International Conference on Mathematics and Computation in Music, Madrid, Spain.
- Hamilton, T., Doai, J., Milne, A., Saisanas, V., Calilhanna, A., Hilton, C., Goldwater, M. and Cohn, R. (2018), 'Teaching mathematics with music : a pilot study', IEEE International Conference on Teaching, Assessment and Learning for Engineering, Wollongong, N.S.W..
- MacRitchie, J. and Milne, A. (2017), 'Evaluation of the learnability and playability of pitch layouts in new musical instruments', Sound and Music Computing Conference, Espoo, Finland.
- Herff, S., Johnson, G., Milne, A., Herff, C., Shih, J. and Krusienski, D. (2017), 'Signal characterization for a musical rhythm BCI', IEEE Engineering in Medicine and Biology Society. Annual International Conference, Jeju Island, Korea.
- Milne, A., Herff, S., Bulger, D., Sethares, W. and Dean, R. (2016), 'XronoMorph : algorithmic generation of perfectly balanced and well-formed rhythms', International Conference on New Interfaces for Musical Expression, Brisbane, Qld..
- Milne, A., Bulger, D., Herff, S. and Sethares, W. (2015), 'Perfect balance : a novel principle for the construction of musical scales and meters', MCM, London, UK.
- Milne, A., Carle, M., Sethares, W., Noll, T. and Holland, S. (2011), 'Scratching the scale labyrinth', International Conference on Mathematics and Computation in Music, Paris, France.
- Milne, A., Xambo, A., Laney, R., Sharp, D., Prechtl, A. and Holland, S. (2011), 'Hex player : a virtual musical controller', International Conference on New Interfaces for Musical Expression, Oslo, Norway.
- Milne, A. (2010), 'Tonal music theory : a psychoacoustic explanation?', International Conference on Music Perception and Cognition, University of Washington.
- Milne, A., Sethares, W., Laney, R. and Sharp, D. (2010), 'Metrics for pitch collections', International Conference on Music Perception and Cognition, University of Washington.
- 2017, 'Rhythmotron'
- 2018, 'Resonances', Recorded Work
- 2017, 'Primitive Minimals; My Only Friend', Recorded Work
- 2016, 'Babylon 19|30', Recorded Work
- 2016, 'Babylon 19|30', Recorded Work
- 2014, 'Red-backed Fairy-wren', Recorded Work
- 2014, 'Serial Meantimes', Recorded Work
- 2006, 'X_System', Report
My research interests are in the fields of music computing, music perception and cognition, and mathematical modelling. I aim to synthesize knowledge in these areas to create predictive and generative models of musical communication.
I am particularly interested in models that embody perceptual and cognitive universals that exist prior to, or independently of, musical exposure. Such models have the capacity to explain how music can communicate across personal and cultural differences, and to generate new forms of music (e.g., microtonal, spectral, ametrical) grounded in those universals.
I provide resources of music perception models at www.dynamictonality.com/portfolio and creative musical applications at www.dynamictonality.com. Music I have composed and performed—both with and without these applications—is available at soundcloud.com/andrew-j-milne.
This information has been contributed by Doctor Milne.
|Title:||The impact of music and musical abilities on cross-situational word learning [Eline Smit]|
|Western Researchers:||Paola Escudero Neyra and Andrew Milne|
|Years:||2020-09-01 - 2021-06-30|
|Title:||Uncovering universal mechanisms for the communication of musical emotion|
|Western Researchers:||Andrew Milne|
|Years:||2017-02-01 - 2022-05-31|
|Title:||Interactive Music-making for older adults in aged care|
|Western Researchers:||Jennifer Macritchie, Andrew Milne and John Taylor|
|Years:||2018-06-01 - 2019-08-31|
|Thesis Title:||Timbral transformation in contemporary music: event generation, perception thresholds and mixing preferences|
|Field of Research:||Health Not Elsewhere Classified|
|Thesis Title:||The Cognition of Harmonic Tonality in Microtonal Scales|
|Field of Research:||Music|
|Thesis Title:||Investigating the Regency Effect in Intonation Drift|
|Field of Research:||Psychology|
|Thesis Title:||Perception of Affect in Unfamiliar Music|
|Field of Research:||Behavioural Science; Music; Psychology|