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Formal music education alters perceived musicality of pitch sequences Mrinmayi Kulkarni 1 , Katherine Potkonjak 1 , Richard Randall 2 , Adam S. Greenberg 1 1 Department of Psychology, University of Wisconsin-Milwaukee, 2 School of Music, Carnegie Mellon University Introduc)on Perceived “musicality” is affected by changes in lowlevel auditory features of pitched sequences 1,2 Music experBse has been shown to affect a wide range of perceptual and cogniBve abiliBes 3 What effect does formal music training have on the percep)on of auditory objects (e.g. musicality ra)ngs)? Methods SBmuli: 100 randomly generated puretone sequences of notes Music training survey: 12 quesBons (Eg: “Do you have absolute pitch?”) ParBcipants divided into 3 groups: Low, Medium and High 27 ParBcipants (10 Low, 9 Medium, 8 High) Task: Rate each melody on a scale of 15 (1 Not Musical; 5 Very Musical) Structural Metrics of melodies Analysis and Results Difference Scores Absolute difference in mean zscored raBngs (yaxis) for each melody (xaxis). Principal Components Analysis (PCA) CorrelaBng Eigenvalues with training scores. Each point represents one parBcipant. Colours depict amount of music training. Comparing Medium and High groups PCA Each point represents one melody. Colours depict mean zscored raBng. PCA Each point represents one melody. Colours depict mean zscored raBng. Conclusions Subset of melodies may be diagnosBc for musical experBse Even a small amount of music training changes the percepBon of auditory objects The Medium and High groups use a different strategy in making judgments about musicality Music exper+se may alter the percep+on of auditory objects by changing the salience of lowlevel features of sound References 1.Greenberg, A.S., Randall, R. (October, 2015).The role of auditory cortex in midlevel audiBon. Society for Neuroscience Nanosymposium 2.Potkonjak, K., Greenberg, A. S. (April, 2015) The Effects of Musical Training on Perceived Auditory Object Musicality. UW System Research Symposium 3.Carey D, et al. (2015). Generality and specificity in the effects of musical experBse on percepBon and cogniBon. Cogni8on. 137:81105. Acknowledgements This research was supported by the USIsrael BinaBonal Science FoundaBon grant No. 2013400 (A.S.G) and Rothberg Research Award in Human Brain Imaging (R.R.). Training Compon ent 1 Compon ent 2 r= 0.4 4, p < 0.05 r= 0.17 ,p= n.s. CorrelaBng Mean RaBngs between groups. High Medium Low r = 0.75, p < 0.001 r = 0.57, p <0.001 r = 0.59, p < 0.001 CorrelaBng Eigenvalues between groups. High Medium Low r = 0.79, p< 0.001 r = 0.62, p <0.001 r = 0.65, p< 0.001 Correla)on of Eigenvalues with Structural Metrics [email protected] SNAP Laboratory.com Sensory Neuroscience Attention Perception Group High Medium Low Range (0.45) Range (0.42) Range (0.44) Range (0.27) Entropy (0.57) Entropy (0.51) Entropy (0.53) Entropy (0.46) Interval (0.05) Interval (0.05) Interval (0.10) Interval (0.01) Variance (0.53) Variance (0.49) Variance (0.49) Variance (0.46) Mean (0.58)Mean (0.42)Mean (0.64)Mean (0.45) Entropy (0.14) Entropy (0.13) Entropy (0.15) Entropy (0.03) Key (0.12) Key (0.20) Key (0.08) Key (0.05) rvalues in parentheses. Yellow cells (p<0.05).
Transcript
Page 1: Formal music education alters SNAP Laboratory.com ...randall/publications/... · Formal music education alters ! perceived musicality of pitch sequences!! Mrinmayi Kulkarni 1, Katherine

Formal music education alters perceived musicality of pitch sequences

Mrinmayi Kulkarni1, Katherine Potkonjak1, Richard Randall2, Adam S. Greenberg1 1 Department of Psychology, University of Wisconsin-Milwaukee, 2 School of Music, Carnegie Mellon University

Introduc)on  

• Perceived  “musicality”  is  affected  by  changes  in   low-­‐level   auditory   features   of   pitched  sequences1,2  

• Music   experBse   has   been   shown   to   affect   a  wide   range   of   perceptual   and   cogniBve  abiliBes3  

• What  effect  does  formal  music  training  have  on   the   percep)on   of   auditory   objects   (e.g.  musicality  ra)ngs)?    

Methods  •  SBmuli:   100   randomly   generated  pure-­‐tone  sequences  of  notes  

•  Music  training  survey:  •  12   quesBons   (Eg:   “Do   you  

have  absolute  pitch?”)  •  ParBcipants   divided   into   3  

groups:   Low,   Medium   and  High  

•  27  ParBcipants  (10  Low,  9  Medium,  8  High)  

•  Task:  Rate  each  melody  on  a  scale  of  1-­‐5  (1-­‐  Not  Musical;  5-­‐  Very  Musical)  

•  Structural  Metrics  of  melodies  

Analysis  and  Results  Difference  Scores  

Absolute   difference   in  mean     z-­‐scored   raBngs  (y-­‐axis)   for   each   melody  (x-­‐axis).  

Principal  Components  Analysis  (PCA)  

C o r r e l a B n g  E i g en v a l u e s  with   training  scores.  

E a c h   p o i n t  represents   one  p a r B c i p a n t .  Colours   depict  a m o u n t   o f  music  training.  

Comparing  Medium  and  High  groups   PCA  

E a c h   p o i n t  r e p r e s e n t s  one   melody.  Colours   depict  mean   z-­‐scored  raBng.  

PCA  

Each  point  represents  one   melody.   Colours    depict   mean   z-­‐scored  raBng.  

Conclusions  •  Subset  of  melodies  may  be  diagnosBc  for  musical  experBse  •  Even  a  small  amount  of  music  training  changes  the  percepBon  of  auditory  objects  •  The  Medium  and  High  groups  use  a  different  strategy  in  making  judgments  about  musicality    

Music  exper+se  may  alter  the  percep+on  of  auditory  objects  by  changing  the  salience  of  low-­‐level  features  of  sound  

References  

1. Greenberg,  A.S.,  Randall,  R.  (October,  2015).The  role  of  auditory  cortex  in  mid-­‐level  audiBon.  Society  for  Neuroscience  Nanosymposium  2. Potkonjak,  K.,    Greenberg,  A.  S.  (April,  2015)  The  Effects  of  Musical  Training  on  Perceived  Auditory  Object  Musicality.  UW  System  Research  Symposium  3. Carey  D,  et  al.  (2015).  Generality  and  specificity  in  the  effects  of  musical  experBse  on  percepBon  and  cogniBon.  Cogni8on.  137:81-­‐105.  

Acknowledgements This  research  was  supported  by  the  US-­‐Israel  BinaBonal  Science  FoundaBon  grant  No.  2013400  (A.S.G)  and  Rothberg  Research  Award  in  Human  Brain  Imaging  (R.R.).  

Training  

Component  1  

Component  2  

r  =  -­‐0.44,  p  <    0.05  

r  =  0.17,  p  =  n.s.  

CorrelaBng  Mean  RaBngs  between  groups.  

High  

Medium  

Low  

r  =  -­‐0.75,  p  <    0.001  

r  =  0.57,  p  <0.001  

r  =  -­‐0.59,  p  <    0.001  

C o r r e l a B n g  E i g e n v a l u e s  between  groups.  

High  

Medium  

Low  

r  =  -­‐0.79,  p  <    0.001  

r  =  0.62,  p  <0.001  

r  =  -­‐0.65,  p  <    0.001  

Correla)on  of  Eigenvalues  with  Structural  Metrics  

[email protected]  

SNAP Laboratory.com�

Sensory Neuroscience ● Attention ● Perception �

Group   High   Medium   Low  Range  (-­‐0.45)  

Range  (-­‐0.42)  

Range  (-­‐0.44)  

Range  (-­‐0.27)  

Entropy  (-­‐0.57)  

Entropy  (0.51)  

Entropy  (-­‐0.53)  

Entropy  (-­‐0.46)  

Interval  (0.05)  

Interval  (-­‐0.05)  

Interval  (0.10)  

Interval  (-­‐0.01)  

Variance  (-­‐0.53)  

Variance  (-­‐0.49)  

Variance  (-­‐0.49)  

Variance  (-­‐0.46)  

Mean  (-­‐0.58)  Mean  (-­‐0.42)  Mean  (-­‐0.64)  Mean  (-­‐0.45)  Entropy  (0.14)  

Entropy  (0.13)  

Entropy  (0.15)  

Entropy  (0.03)  

Key  (0.12)   Key  (0.20)   Key  (0.08)   Key  (-­‐0.05)  r-­‐values  in  parentheses.  Yellow  cells  (p<0.05).  

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