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Unmixer: Loop Extraction with Repetition, with Dr. Jordan Smith and Tim de Reuse
Monday, August 24, 2020 âą Duration 01:00:10
Music technology PhD Candidate Tim de Reuse recommends âUnmixer: An Interface for Extracting and Remixing Loopsâ by Jordan Smith,Yuta Kawasaki, and Masataka Goto, published in the proceedings of ISMIR 2019. Tim and Finn interview Jordan about the origins of this project, the algorithm behind the loop extraction, the importance of repetition in music, and the creative and playful applications of Unmixer.
Note: This conversation was recorded in December 2019. Techically issues with some tracks contributed to delays. Apologies for the choppy audio quality.
Time Stamps
[0:01:40] Project Summary
[0:05:05] Demonstration of Unmixer
[0:14:27] Origins of the UnMixer projectÂ
[0:19:44] Factorisation algorithmÂ
[0:28:37] Computational and musical objectives for factorisation
[0:36:15] The Unmixer web interface
[0:41:30] 2nd Demonstration, parameters and track selection
[0:49:13] What Unmixer tells us about music
Show notes
Recommended article:
Smith, J, Kawasaki, Y, & Goto, M. (2019) Unmixer: An Interface for Extracting and Remixing Loops. Proceedings of  20th ISMIR meeting, Delft Netherlands.
UnMixer website: https://unmixer.ongaaccel.jp/
Project webpage
Interviewee: Dr. Jordan BL Smith, Research Scientist at Tik Tok.Website, twitter
Co-host: PhD Candidate Tim de Reuse, website, twitter
Papers cited in the discussion:
Smith, J. B., & Goto, M. (2018, April). Nonnegative tensor factorization for source separation of loops in audio. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 171-175). IEEE.
Schmidhuber, J. (2009). Simple algorithmic theory of subjective beauty, novelty, surprise, interestingness, attention, curiosity, creativity, art, science, music, jokes. Journal of SICE, 48(1).
Rafii, Z., & Pardo, B. (2012). Repeating pattern extraction technique (REPET): A simple method for music/voice separation. IEEE transactions on audio, speech, and language processing, 21(1), 73-84.
Music sampled:
Daft Punk, Random Access Memories (2013): Doing it Right (ft. Panda Bear)
Martin Solveig & Dragonette, Smash (2011): Hello - Single Edit
Mura Masa, Soundtrack To a Death (2014): I've Never Felt So Good
Other references:
Madeon's Adventure Machine
Chocolate Rain by Tay Zonday
Credits
The So Strangely Podcast is produced by Finn Upham, 2020. The closing music includes a sample of Diana Deutschâs Speech-Song Illusion sound demo 1.
Scale Degree Qualia in Context with Prof. Claire Arthur and Dr. David Baker
Wednesday, February 19, 2020 âą Duration 57:50
In western classical music, theorists have long argued (and mostly agreed) that individual notes of the major and minor scale have sensations associated, feelings often described in terms of tension, motion, sadness, and stability. Dr Baker recommends Prof. Clair Arthurâs paper âA perceptual study of scale-degree qualia in contextâ from Music Perception (2018) which describes testing these associations through the subjective reports of musicians and non-musicians when presented scale degrees in different harmonic contexts. Together we discuss the challenges of the probe tone paradigm, interactions of musicianship training and perception of tonality, and ambiguity in note qualia perception.
Time Stamps
[0:00:10] Introductions
[0:02:40] Summary of Paper
[0:09:50] Origins and Experiment 1 - free association
[0:16:57] Experiment 2 - probe tone ratings
[0:23:25] Results and surprises
[0:28:59] Inconsistency in qualia reports
[0:34:20] Stimulus examples and experiment limitations
[0:41:21] Implications of findings
[0:50:43] Using Musically trained participants
[0:53:51] Closing summary
Show notes
Recommended article:
Arthur, C. (2018). A perceptual study of scale-degree qualia in context. Music Perception: An Interdisciplinary Journal, 35(3), 295-314
Interviewee: Prof. Claire Arthur of Georgia Tech UniversityÂ
Co-host: Dr. David Baker, Lead Instructor of Data Science at the Flatiron SchoolÂ
David Huronâs Sweet Anticipation, 2006 from MIT Press
Credits
The So Strangely Podcast is produced by Finn Upham, 2020. The closing music includes a sample of Diana Deutschâs Speech-Song Illusion sound demo 1.
Music Transformer and Machine Learning for Composition with Dr. Anna Huang
Saturday, August 17, 2019 âą Duration 54:21
Finn interviews Composer and Machine Learning specialist Dr. Cheng-Zhi Anna Huang about the Music Transformer project at Googleâs Magenta Labs. They discuss representations of music for machine learning, algorithmic music generation as a compositional aid, the JS Bach Google Doodle, how self-reference defines structure in music, and compare the musicality of different systems with example outputs.
Systemic Racism and Whiteness in Music Education, with Dr. Juliet Hess and co-host Ethan Hein
Thursday, June 13, 2019 âą Duration 53:08
Music Education doctoral candidate Ethan Hein recommends âEquity and Music Education: Euphemisms, Terminal Naivety, and Whitenessâ 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 education, and addressing systemic racism from within our areas of academia.
Time Stamps
[0:00:10] Intro with Ethan Hein
[0:08:29] Interview: Dr. Juliet Hess, Background and Case Studies
[0:18:50] Interview: Multiculturalism and Music
[0:29:31] Interview: Whiteness in the Conservatory
[0:36:19] Interview: Context and Implications
[0:44:06] Interview: Future work
[0:51:50] Closing with Ethan Hein
Show notes
Recommended article:
Hess, J. (2017). Equity and Music Education: Euphemisms, Terminal Naivety, and Whiteness. Action, Criticism & Theory for Music Education, 16(3). (HTML, PDF)
Interviewee: Dr. Juliet Hess, Assistant Professor of Music Education at Michigan State UniversityÂ
Co-host: Ethan Hein, Doctoral Candidate in Music Education at New York University (website, twitter)
Sources cited in the discussion:
Kendrick Lamar's Alright (youtube)
Chris Thile's performance on Prairie Home companion is no longer available
Emma Stevens - Blackbird by The Beatles sung in Mi'kmaq (youtube)
Correction: this performance is from Cape Breton, Nova Scotia, not Newfoundland where there has been controversy around seal hunting. Both provinces are within the ancestral territory of Mi'kmaq People.
Bonilla-Silva, Eduardo. 2006. Racism without racists: Color-blind racism and the persistence of racial inequality in the United States. 2nd edition. Toronto, ON: Rowman & Littlefield Publishers, Inc. (Publisher page)
Juliet Hess (2018) Interrupting the symphony: unpacking the importance placed on classical concert experiences, Music Education Research, 20:1, 11-21, DOI: 10.1080/14613808.2016.1202224 (HTML)
Juliet Hessâ new book:Â
Hess, Juliet. (2019)Â Music Education for Social Change: Constructing an Activist Music Education, Â Routledge (Publisher page)
Credits
The So Strangely Podcast is produced by Finn Upham, 2019. The closing music includes a sample of Diana Deutschâs Speech-Song Illusion sound demo 1.
Capturing the alignment between the movements of musicians and listeners with Dr. Alexander Demos
Monday, May 13, 2019 âą Duration 58:14
Host Finn Upham recommends âHow Music Moves Us: Entraining to Musiciansâ Movementsâ 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 Â
Show notes
Recommended article:
Demos, A. P., & Chaffin, R. (2018). How Music Moves Us: Entraining to Musiciansâ Movements. Music Perception: An Interdisciplinary Journal, 35(4), 405-424. Â (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), 635â638.
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, 77â94.
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 clarinetistsâ ancillary gestures: An exploration of the field. Journal of New Music Research, 34(1), 97â113. DOI: 10.1080/092982105 00124208
Credits
The So Strangely Podcast is produced by Finn Upham, 2019. The closing music includes a sample of Diana Deutschâs Speech-Song Illusion sound demo 1.
Episode 7: Society for Neuroscience 2018 Music Science Review
Saturday, December 22, 2018 âą Duration 01:21:34
Four Music Science attendees of the 2018 meeting of the Society for Neuroscience join Finn to discuss their experience of the conference, their own projects, and other interesting research presented. PhD Candidates Avital Sternin, Andrew Chang, Dr. Keith Doelling, and Prof. Amy Belfi get into the neural processing of song, emotion and alzheimer's, leadership in small ensembles, onset prediction in the auditory cortex and more. Get an inside view of how Music Science fits into the biggest Neuroscience conference according to the young scientists on the ground.
Time Stamps
[0:01:06] Introduction of panelists
[0:03:12] Introduction of Society for Neuroscience Conference
[0:07:11] Music Science at SfN and in Neuroscience
[0:10:48] Avitalâs project (introduced by Amy)
[0:21:50] Andrewâs project (introduced by Keith)
[0:33:18] Amyâs project (introduced by Avital)
[0:44:04] Keithâs project (introduced by Andrew)
Show notes
SfN18 website and program
Avital Sternin, PhD Candidate at The Brain and Mind Institute of The University of Western Ontario Â
Abstract, Poster for Identifying the neural correlates of Music Familiarity using a strict training paradigm by A. Sternin, A. M. Owen, J. A. Grahn.
Andrew Chang, Ph.D. Candidate in Department of Psychology, Neuroscience & Behaviour at McMaster University
Abstract, Poster  for Neural oscillatory mechanisms for interpersonal entrainment in music ensembles by A. Chang, P. Chrapka, D. Bosnyak, L. J. Trainor.
Associated paper: A. Chang, S.R. Livingstone, D. Bosnyak, and L. J. Trainor. Body sway reflects leadership in joint music performance. PNAS May 23, 2017 114 (21) E4134-E4141
Prof. Amy Belfi, Department of Psychological Science at Missouri University of Science and Technology
Abstract, Poster  for Music and emotion in Alzheimer's disease by A. M. Belfi, A. Resche-Hernandez, E. Guzman-Velez, D. Tranel.
Dr. Keith Doelling, Dept. of Psychology, Centre for Neural Science, New York University
Abstract, Poster  for Assessing evoked and oscillatory components in cortical synchronization to music using computational models by K. Doelling, M.F. Assaneo, J. Rowland, D. Bevilacqua, B. Pesaran, D. Poeppel.
Associated paper: K. B. Doelling and D. Poeppel. Cortical entrainment to music and its modulation by expertise. PNAS November 10, 2015 112 (45) E6233-E6242
Other SfN 2018 posters mentioned
Beat perception ability and familiarity with music alter gait in older adults during auditory cueing E. A. READY, J. D. HOLMES, J. S. GRAHN (and poster)
Finding the beat: A neuro-mechanistic model for rhythmic beat generation Ă. BYRNE, A. BOSE, J. M. RINZEL Â
Predictability and uncertainty in the pleasure of music B. P. GOLD, M. T. PEARCE, E. MAS-HERRERO, A. DAGHER, R. ZATORRE
Distinct neural selectivities for music, speech, and song in human auditory cortex S. V. NORMAN-HAIGNERE, J. J. FEATHER, P. BRUNNER, A. RITACCIO, J. H. MCDERMOTT, G. SCHALK, N. G. KANWISHER (and associated paper, pdf)
Spontaneous speech synchronization predicts neurophysiology, brain anatomy and language learning M. F. ASSANEO, P. RIPOLLES, J. ORPELLA, R. DE DIEGO-BALAGUER, D. POEPPEL
Video of Dialogues Between Neuroscience and Society: Music and the Brain, with Pat Metheny
Credits
The So Strangely Podcast is produced by Finn Upham, 2018. The closing music includes a sample of Diana Deutschâs Speech-Song Illusion sound demo 1.
Episode 6: Relevance of vocals to music listener preferences, with Brian McFee and guest Andrew Demetriou
Monday, November 12, 2018 âą Duration 01:14:48
Music tech and data science professor Brian McFee recommends Vocals in Music Matter: The Relevance of Vocals in the Minds of Listeners by Andrew Demetriou, Andreas Jansson, Aparna Kumar, and Rachel M. Bittner, published in the 2018 ISMIR proceedings. Brian and Finn interview Andrew Demetriou about this research combining descriptions of music on Spotify and survey responses on what users pay attention to, like, and dislike in music generally and vocals specifically.
Time Stamps
[0:00:00] Introduction with Brian
[0:10:05] Interview: Introduction: Origins of paper and Survey 1 analysis
[0:20:15] Interview: Results of survey 1 and ethical research practices at Spotify
[0:27:03] Interview: Second Survey construction, analysis, and results
[0:34:37] Interview: Problems of terminology and labeling
[0:43:27] Interview: Overall results and absence of vocals terms in music descriptions
[0:53:30] Interview: Implications for everyday music listening
[0:58:40] Closing with Brian (12/10 for efficient summary)
Show notes
Recommended article:
Demetriou, A., Jansson, A., Kumar, A., & Bittner, R. M. Vocals in Music Matter: The Relevance of Vocals in the Minds of Listeners. Proceedings of ISMIR 2018 (pp. 514-520).
Slide deck from the corresponding ISMIR talk that caught Brianâs attention
Interviewee: Andrew Demetriou
Co-host: Prof. Brian McFee
And here is the action shot of the research team card sorting participantsâ text responses to Survey 1.
Spotify researchers (left to right) Rachel Bittner, Andreas Jansson, Andrew Demetriou, and Aparna Kumar working through the text responses to Survey 1.
Credits
The So Strangely Podcast is produced by Finn Upham, 2018. The closing music includes a sample of Diana Deutschâs Speech-Song Illusion sound demo 1.
Episode 5: Cross-culture variation in preferences for consonance, with Dan Shanahan and guest Josh McDermott
Sunday, September 30, 2018 âą Duration 59:33
Music Theorist Daniel Shanahan recommends "Indifference to dissonance in native Amazonians reveals cultural variation in music perception" by Josh H. McDermott, Alan F. Schultz, Eduardo A. Undurraga, and Ricardo A. Godoy, published in Nature Letters in 2016. Dan and Finn interview Josh about the musical culture of the Tsimane people, adapting music cognition experiments for cross-cultural studies, and what the absence of preference for consonant intervals (over dissonant intervals) in the people of one culture means for theories of music cognition more broadly.
Time Stamps
[0:00:00] Introduction with Dan
[0:13:16] Interview with Josh and introduction to the Tsimane and their music culture
[0:22:41] Experiment Design on Preference for Consonance and Dissonance
[0:28:04] Experiment results and the distinction between melodic and harmonic intervals
[0:32:53] Cross-culture study methodologies and follow up studies
[0:38:39] Implications of results on experiences of western music listeners
[0:42:04] Relationship of these results to other studies of preference for consonance
[0:48:16] Closing with Dan
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Show notes
Recommended article:
McDermott, J. H., Schultz, A. F., Undurraga, E. A., & Godoy, R. A. (2016). Indifference to dissonance in native Amazonians reveals cultural variation in music perception. Nature, 535(7613), 547.
Interviewee: Prof. Josh McDermott, Associate Professor, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology
Co-host: Prof. Dan Shanahan, Assistant Professor of Music Theory and Cognition at Ohio State University
Works cited in the discussion:
Trainor, L. J., Tsang, C. D., & Cheung, V. H. (2002). Preference for sensory consonance in 2-and 4-month-old infants. Music Perception: An Interdisciplinary Journal, 20(2), 187-194.
Chiandetti, C., & Vallortigara, G. (2011). Chicks like consonant music. Psychological science, 22(10), 1270-1273.
McDermott, J., & Hauser, M. (2004). Are consonant intervals music to their ears? Spontaneous acoustic preferences in a nonhuman primate. Cognition, 94(2), B11-B21.
Polak, R., London, J., & Jacoby, N. (2016). Both isochronous and non-isochronous metrical subdivision afford precise and stable ensemble entrainment: a corpus study of malian jembe drumming. Frontiers in Neuroscience, 10, 285.
Jacoby, N., & McDermott, J. H. (2017). Integer ratio priors on musical rhythm revealed cross-culturally by iterated reproduction. Current Biology, 27(3), 359-370.
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Credits
The So Strangely Podcast is produced by Finn Upham, 2018.
Audio samples of Tsimane singing and experiment stimuli are taken form the Supplementary materials (samples 3, 4, 8, and 1) to the recommended article. Included with permission from Prof. McDermott.
The closing music includes a sample of Deutschâs Speech-Song Illusion Sound Demo 1.
