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Music and the Mind
Dr Lauren StewartDr Daniel Müllensiefen
(Music, Mind and Brain group,Goldsmiths, University of London)
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Music… Doesn’t exist, we create it
Image courtesy of AngelaPalmer
A super-stimulus for pleasure
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Effortless learning Learned via exposure
But lifelong difficulties for some
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Congenital Amusia What it is, how we test for it
www.delosis.com/listening/home.html
Brains miswired for music
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“When the music finished the sound was always gone - as though it hadnever happened. And this bewildered me with a sense of failure, offailure to hold on to what I had just heard.
Others told me that if I tried to remember I would. But I never did. Ihave no idea what people mean when they say: "I have a tune goinground in my head." I have never had a tune tell out its music in my headlet alone repeat itself! “ (Sister Ruth)
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What is an earworm? A tune that gets stuck
Not a hallucination, butseemingly little control
Related to voluntary musicalimagery
Involuntary musical imagery
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What we know….. How common are they?
90% at least once a week(Liikanen, 2008)
Are they always bothersome? 15-33% are disturbing /
unpleasant (Beaman & Williams,2009; Liikanen, 2008)
Susceptible personalities?
Many possible triggers
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What makes a tune sticky?
Nothing? Repetition? Melodic structure?
Answers from computational musicanalysis?
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Computational Music Analysis:Pre-requisite
Transform notes into numbers
Melody: Sequence oftuples (notes) with timeand pitch information:
),(iiiptn =
Melody features:Complexity, pitch range,rhythmical evenness,repetitiveness, melodiccontour ….
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Computational Music Analysis: ‘Hit Song Science’Task: Identify commercially
successful songs on Revolverusing computational features(Kopiez & Müllensiefen, 2009)
Commercially successful:Cover version of song enteredcharts (yes/no)
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Computational Music Analysis: ‘Hit Song Science’
!
p (chart_entry =1) =1
1+ e"(772.4 !+ 141.2 # pitch_range - 4731.3 #pitch_entropy)
Interpretation:o 2 features (pitch range and entropy/complexity) are sufficient
for accurate ‘hit song’ predictiono Plausible interpretation as compositional exercise: Invent a
chorus melody such that it has a large range and uses onlyfew pitches much more frequently than the majority of itspitches
Result: Statistical classification model predicting tunesuccess
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Earworms: A research agenda
Build Database of earworm reports, includingsong titles and situations.
Analyse tunes using computational methods
Collaboration with Shaun Keaveny breakfastshow (BBC, 6 Music)
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Striking Your Own Chord What constitutes
plagiarism?
Is it always deliberate?
Presentations by expertsfrom science and the musicindustry
‘Creative Karaoke’: write ahit song & test your musicalcreativity