OVER DEZE AFLEVERING
Host Finn Upham recommends “How Music Moves Us: Entraining to Musicians’ Movements” by Alexander Demos and Roger Chaffin, published in Music Perception, 2017. They interview Dr Demos about this study and adjacent issues.
Note: This interview goes fairly deep into the challenges of time series data analysis. Feel free to use the time stamps listed in the show notes to skip ahead if this is not your cup of tea.
Time Stamps
* [0:00:10] Intro to article and Alex
* [0:03:20] Design of Air Conducting experiment
* [0:11:15] Capturing movements of performers and listeners
* [0:15:40] Assessing alignment between motion time series
* [0:25:26] Non-linearity in these time series
* [0:31:18] False negatives and intermittent alignment
* [0:38:32] Theories of Music and Ancillary motion
* [0:45:04] Closing Summary and Implications
Show notes
Recommended article:
Demos, A. P., & Chaffin, R. (2018). How Music Moves Us: Entraining to Musicians’ Movements. Music Perception: An Interdisciplinary Journal, 35(4), 405-424. (pdf)
Interviewee: Dr. Alexander Demos, Clinical assistant professor at the University of Illinois at Chicago (website)
Some publications cited in the discussion:
Schreiber, T., & Schmitz, A. (1996). Improved surrogate data for nonlinearity tests. Physical Review Letters, 77(4), 635–638.
Cook, N. (2013). Beyond the score: Music as performance. Oxford University Press.
Theiler, J., Eubank, S., Longtin, A., Galdrikian, B. & Farmer, J. D. (1992). Testing for nonlinearity in time series: The method of surrogate data. Physica D, 58, 77–94.
Dean, R. T., Bailes, F., & Dunsmuir, W. T. (2014). Time series analysis of real-time music perception: Approaches to the assessment of individual and expertise differences in perception of expressed affect. Journal of Mathematics and Music, 8(3), 183-205.
Wanderley, M. M., Vines, B. W., Middleton, N., Mckay, C., & Hatch, W. (2005). The musical significance of clarinetists’ ancillary gestures: An exploration of the field. Journal of New Music Research, 34(1), 97–113. DOI: 10.1080/092982105 00124208
Credits
The So Strangely Podcast is produced by Finn Upham, 2019. The closing music includes a sample of Diana Deutsch’s Speech-Song Illusion sound demo 1.
Note: This interview goes fairly deep into the challenges of time series data analysis. Feel free to use the time stamps listed in the show notes to skip ahead if this is not your cup of tea.
Time Stamps
* [0:00:10] Intro to article and Alex
* [0:03:20] Design of Air Conducting experiment
* [0:11:15] Capturing movements of performers and listeners
* [0:15:40] Assessing alignment between motion time series
* [0:25:26] Non-linearity in these time series
* [0:31:18] False negatives and intermittent alignment
* [0:38:32] Theories of Music and Ancillary motion
* [0:45:04] Closing Summary and Implications
Show notes
Recommended article:
Demos, A. P., & Chaffin, R. (2018). How Music Moves Us: Entraining to Musicians’ Movements. Music Perception: An Interdisciplinary Journal, 35(4), 405-424. (pdf)
Interviewee: Dr. Alexander Demos, Clinical assistant professor at the University of Illinois at Chicago (website)
Some publications cited in the discussion:
Schreiber, T., & Schmitz, A. (1996). Improved surrogate data for nonlinearity tests. Physical Review Letters, 77(4), 635–638.
Cook, N. (2013). Beyond the score: Music as performance. Oxford University Press.
Theiler, J., Eubank, S., Longtin, A., Galdrikian, B. & Farmer, J. D. (1992). Testing for nonlinearity in time series: The method of surrogate data. Physica D, 58, 77–94.
Dean, R. T., Bailes, F., & Dunsmuir, W. T. (2014). Time series analysis of real-time music perception: Approaches to the assessment of individual and expertise differences in perception of expressed affect. Journal of Mathematics and Music, 8(3), 183-205.
Wanderley, M. M., Vines, B. W., Middleton, N., Mckay, C., & Hatch, W. (2005). The musical significance of clarinetists’ ancillary gestures: An exploration of the field. Journal of New Music Research, 34(1), 97–113. DOI: 10.1080/092982105 00124208
Credits
The So Strangely Podcast is produced by Finn Upham, 2019. The closing music includes a sample of Diana Deutsch’s Speech-Song Illusion sound demo 1.
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OUDE AFLEVERINGEN ZOEKEN
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ANDERE AFLEVERINGEN IN DEZE PODCAST
Postdoctoral fellow Sarah Sauvé recommends “Individual differences in rhythmic cortical entrainment correlate with predictive behavior in sensorimotor synchronization” by Sylvie Nozaradan, Isabelle Peret, and Peter E. Keller, published in Nature Scientific Reports in 2016. Sarah and Finn interview …
Host Finn Upham recommends “How Music Moves Us: Entraining to Musicians’ Movements” by Alexander Demos and Roger Chaffin, published in Music Perception, 2017. They interview Dr Demos about this study and adjacent issues.
Note: This interview goes fairly deep into the challenges of time series data…
Finn interviews Composer and Machine Learning specialist Dr. Cheng-Zhi Anna Huang about the Music Transformer project at Google’s Magenta Labs. They discuss representations of music for machine learning, algorithmic music generation as a compositional aid, the JS Bach Google Doodle, how self-refer…
Music Education doctoral candidate Ethan Hein recommends “Equity and Music Education: Euphemisms, Terminal Naivety, and Whiteness” by Juliet Hess, published in Action, Criticism & Theory for Music Education, 2017. Ethan and Finn interview Dr. Juliet Hess about this study and whiteness in music …
This episode brings recommendations from the 2019 ISMIR conference at TUDelft in the Netherlands. A number of contributors, old and new, highlighted papers that had caught their attention.
Note: At ISMIR, all accepted papers were presented via a short 4 minute talk and a poster. This arrangeme…
Disclaimer: De podcast en de illustraties die op deze pagina zijn ingesloten, zijn afkomstig van Finn Upham, eigendom van de eigenaar en niet gelieerd aan of goedgekeurd door Listen Notes, Inc.
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