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A theory of music cognition Day 4

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Title: A theory of music cognition Day 4


1
A theory of music cognitionDay 4
  • Music Cognition
  • MUSC 495.02, NSCI 466, NSCI 710.03
  • Harry Howard
  • Barbara Jazwinski
  • Tulane University

2
Course administration
  • Spend provost's money

3
A theory of music cognition
4
What question should a theory of music cognition
answer?
  • It's not a rhetorical question. Take a few
    minutes to discuss it with someone.
  • Some answers I've found, with no pretence to
    authority
  • What happens when I hear music?
  • How do I hear music?
  • What y'all have said
  • how does the brain perceive and interact with
    music?
  • what is music what is cognition?
  • how does the brain differentiate between music,
    language, and noise
  • course objectives
  • how does the brain interpret the external stimuli
    of music and process it into something
    meaningful?
  • how does the brain integrate all the parts of
    music?

5
My answerdrawn from language cognition
  • What will the next note be?
  • Advantages
  • It joins perception and production
  • What is the next note that I will hear?
  • What is the next note that I will play?
  • It is easy to verify
  • It is easy to quantify
  • Disadvantages
  • It ignores the emotional content of the next note
  • What will the next note be, and will I like it?

6
This is a question of predictionHere's an
example
  • Sitting in my living room, I hear my wife call
    "mails here!" from the next room, and within a
    few seconds I am heading toward the front door to
    retrieve the days offerings from the mailbox.
  • But what just happened?
  • Take a few minutes to discuss what just happened
    with a friend.

7
What just happened
  • A pattern of sound energy impacted my ears, which
    I decoded as the words "mails here" spoken by my
    wife.
  • I infer
  • that there is mail waiting for me,
  • that I am being given an oblique instruction to
    pick it up,
  • and that there is indeed something worth picking
    up.

8
But none of these inferential leaps is infallible
  • It is possible
  • that the words spoken were not "mails here", but
    "Mels here" an unexpected visit from our
    neighbor Mel
  • or that, although something did indeed come
    through our mail slot, it was not the U.S. mail
    but a flyer from a local restaurant
  • or that the mail has been delivered, but is
    nothing but junk (the most likely possibility)
  • or that my wife simply said "mails here" as an
    informational update, and has already gone to
    pick up the mail herself.
  • My pondering of the situation reflects all of
    these uncertainties, and the complex interactions
    between them.
  • If I dont actually have a neighbor named Mel,
    for example, then the probability that my wife
    said "Mels here" is decreased.

9
The next note
  • But a moment later, these dilemmas are largely
    resolved.
  • I hear a louder, clearer, more insistent "The
    mail is here!" from my wife,
  • which clarifies
  • both the words that were spoken
  • and the intent behind them she does expect me
    to get the mail.
  • (Whether the mail contains anything worth getting
    remains to be discovered.)

10
The moral
  • This everyday situation captures several
    important things about the probabilistic nature
    of thought and perception.
  • Perception is a multi-leveled inferential process
  • Probabilistic judgments are shaped by our past
    experience
  • Producers of communication are sensitive to its
    probabilistic and fallible nature, and may adjust
    their behavior accordingly

11
Perception is a multi-leveled inferential process
  • Levels of knowledge in the story
  • I hear sounds,
  • infer words from them,
  • infer my wifes intended message from the words
    (and from the way she said them),
  • and make further inferences about the state of
    the world.
  • Each of these levels of knowledge contains some
    uncertainty, which may endure in my mind
  • even heading for the door, I may be uncertain as
    to what my wife said.
  • As such, they lend themselves very naturally to a
    probabilistic treatment, where propositions are
    represented
  • not in true-or-false terms
  • but in levels of probability.

12
Probabilistic judgments are shaped by our past
experience
  • That is, by our observation of events in the
    world.
  • In judging the likelihood
  • that my wife wants me to get the mail,
  • or that the mail (not Mel) is at the door,
  • or that it contains something besides junk,
  • I am influenced by the frequency of these various
    events happening in the past.

13
Sensitivity to probability
  • My wife knew that I had not fully gotten her
    message the first time,
  • and thus re-conveyed both the words and the
    intention in an amplified form.

14
Relevance for music cognition
  • Let me rephrase the principles
  • Perception of music is an uncertain multileveled
    inferential process.
  • Knowledge of musical probabilities comes, in
    large part, from regularities in the musical
    environment.
  • Producers of musical communication are sensitive
    to, and affected by, its probabilistic nature.

15
Perception of music is an uncertain multileveled
inferential process
  • In listening to a piece of music, we hear a
    pattern of notes and we draw conclusions about
    the underlying structures that gave rise to those
    notes
  • These judgments are often somewhat uncertain and
    this uncertainty applies not just at the moment
    that the judgment is made, but to the way it is
    represented in memory.
  • In the development section of a sonata movement,
    for example, we may be uncertain as to what key
    we are really in
  • this ambiguity is an important part of musical
    experience.

16
Perception of music is an uncertain multileveled
inferential process, 2
  • The probabilistic nature of music perception
    applies not only to these underlying structures,
    but also to the note pattern itself.
  • certain note patterns are probable, others are
    not
  • our mental representation of these probabilities
    accounts for important musical phenomena
  • surprise
  • tension
  • expectation
  • error detection
  • pitch identification

17
Knowledge of musical probabilities comes from
regularities in the musical environment
  • The probabilities we assign to note patterns and
    to the structures underlying them are shaped by
    our musical experience.
  • Proof of this is seen in the fact that people
    with different musical backgrounds have different
    musical expectations, perceptions, and modes of
    processing and understanding music.
  • This is not to say
  • that our musical knowledge is entirely the result
    of environmental influence,
  • or that it can be shaped without limit by that
    environment.

18
Producers of musical communication are sensitive
to, and affected by, its probabilistic nature
  • In many cases, music production is affected by
    perception, adjusting and evolving to facilitate
    the perceptual process.
  • This is reflected
  • in spontaneous individual choices
  • for example, with regard to performance
    expression
  • and in the long-term evolution of musical styles
    and conventions.

19
Source
  • The story about probability and its relevance for
    music is taken from pp. 2-3 of Temperley (2007)
    Music and Probability.
  • The library has an e-book version of it, so you
    can view it online.
  • Note that Temperley does not propose any
    particular theory of music cognition, except to
    imply that whatever it is, it is probabilistic.

20
Hypothesis v. 2
  • What is the next note probably going to be?
  • And will I like it?

21
Back to our regularly scheduled program
22
Ingredients of music cognition mostly receptive,
mostly from Levitin
23
Next Monday
  • Perception, 1-2 of Levitin
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