WEBVTT

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[SQUEAKING]

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[RUSTLING]

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[CLICKING]

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MICHAEL SCOTT ASATO
CUTHBERT: OK, any questions?

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Problem set 4 was
just turned in.

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A couple people have
asked for and been granted

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small extensions on that.

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I'm not going to be talking
through the solution set today.

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But anything that
came up that you found

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interesting appalling, strange?

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Adam?

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AUDIENCE: For the t and
the i, I used that o

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of n factorial algorithm.

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MICHAEL SCOTT ASATO CUTHBERT:
The o of n factorial algorithm,

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how high can n get?

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AUDIENCE: 25.

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MICHAEL SCOTT ASATO
CUTHBERT: 25, for what?

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AUDIENCE: If I
had 25 notes and I

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was trying to find
optic or OPTC,

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it turns off within
a few seconds.

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MICHAEL SCOTT ASATO
CUTHBERT: So you

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have an o of n factorial
algorithm, which is usually

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one of the worst you'd
ever be thinking about,

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except for n to the n.

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N to the n is worse, right?

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I can't remember.

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These are the types of things,
as a professional music person,

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you don't really have to think.

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Once you're thinking
about things this bad,

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you usually don't.

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But yeah, 25 was the number
that I was weirdly thinking

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that would constrain n.

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Anybody have a different
number that often comes up

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in music for the max, the n?

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Yeah?

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AUDIENCE: 12.

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MICHAEL SCOTT ASATO CUTHBERT:
12, with 12 pitches.

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You can end up with an algorithm
that is o of 12 factorial--

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which is decently
big but not too bad--

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which reduces to o of?

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AUDIENCE: 1.

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MICHAEL SCOTT ASATO CUTHBERT: 1.

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Very slow 1, but o of 1.

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I don't think that
would be that bad.

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I believe there is an algorithm
that runs in o of n time,

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I believe.

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It might be o of n squared.

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I'll look back at it.

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There is a way to
go better, but good.

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For this class,
again, you're not

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going to be quizzed on
your algorithmic complexity

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of your work, but it's
always a good thing

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to be thinking about
as we do things.

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I took the summer to look
through all the places where

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I wasn't using heap tables.

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I don't know if anybody--

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do they cover heaps
in 6009 or in--

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AUDIENCE: 6006.

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MICHAEL SCOTT ASATO
CUTHBERT: 6006, OK.

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The idea of an organization that
allows you to, at any point,

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get the smallest or the largest
value, but not everything else

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is sorted.

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That can be a very
useful tool quite often.

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Good.

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Most of the things aren't
going to be on that.

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Any other questions or
weird concerns that come up?

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I'll be curious, after class, to
figure out where 25 comes from.

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AUDIENCE: I just
put in 25 notes.

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And then, c actually
killed a lot of them.

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MICHAEL SCOTT ASATO
CUTHBERT: As long as you

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do your cardinality or your--

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what's the other one?

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o?

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What's the octave?

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Sorry, I was hearing
optic, but you were saying

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octave, which is correct.

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As long as you've done something
like that, the OPC, which

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is almost always a
requirement for using t or i

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the transposition operation--

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the transposition and inversion
operations can, in some cases,

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not be well defined, especially
if you're thinking of a chord.

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When you invert, the
order of the notes change.

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In a melody, the order
obviously matters more.

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Good.

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Yeah?

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AUDIENCE: Can you
give some intuition

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for when inversion is useful?

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Doing the assignment,
it's just hard for me

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to wrap my mind around.

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MICHAEL SCOTT ASATO CUTHBERT:
Yeah, when is it useful?

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One of the first
reasons why it can

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be useful is a lot
of composers have

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thought it's useful, including
tonal composers like Bach.

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But 20th century composers like
Arnold Schoenberg or Karlheinz

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Stockhausen, they've used
inversion symmetry a lot.

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The other thing is
that things that

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are inversions of
each other have

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the same interval structure.

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If you're playing with a piece
and you're thinking about oh,

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how can I reuse those intervals,
that can be a place that's done.

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I think you can Google online
people singing "Happy Birthday"

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in inversion and
stuff like that.

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Quite a number of
people do hear it

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in special cases as
an equivalence class,

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as we saw with the
Gustav Holst example,

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where the sixth time
through the Chaconne theme,

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he decides to play upside down.

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Do you remember that from
the band thing that we have?

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That's one of the
places that's there.

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I think we've moved to a world
that's different from even 25,

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30 years ago, where it
was this notion that, oh,

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eventually, we're all going
to hear inversions the way

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we hear transpositions.

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I think that that's
not something composers

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are asserting as much.

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Great question.

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Other things?

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There was one case
that I haven't

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run your things through that is
interesting, that almost all--

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I'll just go over here-- almost
all musical structures that

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are built on the same
numbers of intervals,

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once you do reduce them, octave
equivalent so on-- such as here,

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we have a major third,
especially if we

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don't care about spelling.

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Here, we have a minor third.

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Together, we have
a perfect fifth.

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Here, we have minor,
major perfect fifth.

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major triad, minor triad.

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Most cases, chords that have
the same interval content,

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can be transposed or
inverted to make each other.

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The cool thing is there's a very
few exceptions to that rule.

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The most famous one is, any
transposition or inversion

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of this--

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I'll use pitch class
numbers 0, 1, 3, 7--

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0, 1, 4-- that's an
E. 4, 6, 0, 1, 4, 6.

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Somebody, while I'm
getting a new pen,

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verify those have the
same interval content.

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Do they both have a
semitone somewhere?

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Yeah, between the
0 and the 1, right?

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Sorry, you do need that
better pen before you do it.

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Do they both have a whole step?

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Yeah, where's the whole
step in the first one?

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AUDIENCE: Is it 3?

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AUDIENCE: 1 to 3?

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MICHAEL SCOTT ASATO
CUTHBERT: 1 to 3, yes.

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It's written this way
with spelling thing,

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so it's a little bit hard.

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Do they both have a minor third?

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AUDIENCE: Yes.

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MICHAEL SCOTT ASATO CUTHBERT:
Do they both have a major third?

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AUDIENCE: Yes.

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MICHAEL SCOTT ASATO CUTHBERT:
This one's a little bit harder.

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Yeah, so 2 things at 4.

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There's the major third.

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There's a major third.

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Do they both have
a perfect fourth?

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AUDIENCE: Yeah.

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MICHAEL SCOTT ASATO
CUTHBERT: Where's

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the perfect fourth in this?

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This one's pretty easy.

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Here, the perfect
fourth is because we

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have octave equivalents.

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We just move this one up and
then, we get a perfect fourth.

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Do they have a tritone,
[INAUDIBLE] augmented triad?

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Yeah, this one's pretty
easy, because there's

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a tritone from the
lowest to highest.

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Here, it's between the
first and the last.

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This one's particularly
interesting,

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because any four-note chord
will have six intervals in it.

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If we think of how many
semitones, how many whole steps,

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how many minor thirds, major
thirds, perfect fourths,

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tritones, and everything
else above that

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is just an inversion of these.

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They each have one.

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It's called the
all-interval tetrachords.

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The fascinating thing is that
you cannot invert one to make

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the other.

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There's only a few
things like this.

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They're called z-related.

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Nobody really knows
what the z stands for.

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It's not a Russian
propaganda thing or whatever.

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They're z-related and
they always come in pairs.

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If we used a 16-tone system,
then all the z-related things

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come in triples.

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Somebody has worked
out the math.

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If we use a 30-tone system,
they all come in groups of 5.

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It's one of these things that,
those of us in music theory,

00:09:31.870 --> 00:09:35.140 align:middle line:84%
have never worked
with a mathematician

00:09:35.140 --> 00:09:37.930 align:middle line:84%
to figure out what the
general pattern is of where

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z-related systems come.

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Nice little aside, but
kind of the fun things

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you can do if you're doing
a little bit more pure math

00:09:47.930 --> 00:09:50.100 align:middle line:90%
side and less computation.

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Yeah, Jake?

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AUDIENCE: That would be an
interesting, fun project.

00:09:52.670 --> 00:09:54.590 align:middle line:84%
MICHAEL SCOTT ASATO
CUTHBERT: That would be--

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AUDIENCE: [INAUDIBLE].

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MICHAEL SCOTT ASATO
CUTHBERT: --that

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would be a final project
that, have a backup plan.

00:10:02.420 --> 00:10:06.090 align:middle line:84%
Do not vet your entire grade
on being able to figure it out.

00:10:06.090 --> 00:10:13.400 align:middle line:84%
But yeah, enumerating various
things would be great.

00:10:13.400 --> 00:10:16.485 align:middle line:84%
And a lot of people who are
interested in post-tonal music

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will be interested in that.

00:10:17.610 --> 00:10:23.220 align:middle line:84%
Good, OK, let's move
off the computer.

00:10:23.220 --> 00:10:25.790 align:middle line:84%
We've gone from
computer to math.

00:10:25.790 --> 00:10:27.240 align:middle line:90%
Let's go to pure music.

00:10:27.240 --> 00:10:29.870 align:middle line:84%
I'm going to play in a second--
but you can get started--

00:10:29.870 --> 00:10:32.850 align:middle line:84%
that chorale I've passed out
for you, the class theme,

00:10:32.850 --> 00:10:36.320 align:middle line:84%
"Chorale Alleluia,"
"Alleluia Chorale."

00:10:36.320 --> 00:10:40.160 align:middle line:84%
Your job, talk with
other people around this.

00:10:40.160 --> 00:10:43.950 align:middle line:90%


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Let's spend five
minutes just doing

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whatever Roman numeral
or other analysis

00:10:50.220 --> 00:10:54.097 align:middle line:84%
you've been taught
on this project.

00:10:54.097 --> 00:10:56.430 align:middle line:84%
Let's not all start at the
beginning, so that some of us

00:10:56.430 --> 00:10:59.250 align:middle line:84%
can have some interesting
comments about the end

00:10:59.250 --> 00:11:02.820 align:middle line:90%
or something.

00:11:02.820 --> 00:11:06.480 align:middle line:84%
Five minutes until I
give more instructions.

00:11:06.480 --> 00:11:08.813 align:middle line:84%
If you talk with each other,
you'll make fewer mistakes.

00:11:08.813 --> 00:11:15.810 align:middle line:90%


00:11:15.810 --> 00:11:21.240 align:middle line:84%
OK, let's bring it
back for a second.

00:11:21.240 --> 00:11:27.030 align:middle line:84%
Everybody, I'm going to start
by asking people for something

00:11:27.030 --> 00:11:28.900 align:middle line:90%
that they found interesting.

00:11:28.900 --> 00:11:32.460 align:middle line:90%


00:11:32.460 --> 00:11:37.044 align:middle line:84%
Let's number our measures, so
measure one, two, three, four,

00:11:37.044 --> 00:11:40.297 align:middle line:90%
five, six, seven, eight, nine.

00:11:40.297 --> 00:11:41.255 align:middle line:90%
Did I count that right?

00:11:41.255 --> 00:11:43.980 align:middle line:90%


00:11:43.980 --> 00:11:45.540 align:middle line:84%
When you say, if
there's something

00:11:45.540 --> 00:11:51.510 align:middle line:84%
interesting in a specific
place, that I want to know it.

00:11:51.510 --> 00:11:53.680 align:middle line:90%
We'll jump around a little bit.

00:11:53.680 --> 00:11:56.110 align:middle line:84%
Jason, what did you
find that's interesting?

00:11:56.110 --> 00:11:59.190 align:middle line:84%
AUDIENCE: I believe
the phrase starting

00:11:59.190 --> 00:12:01.980 align:middle line:84%
at the end of the first
measure, the Alleluia,

00:12:01.980 --> 00:12:05.640 align:middle line:84%
I think it's 5, 1, 5 1
and then, in A major.

00:12:05.640 --> 00:12:07.890 align:middle line:84%
MICHAEL SCOTT ASATO
CUTHBERT: 5, 1, 5, 1.

00:12:07.890 --> 00:12:10.540 align:middle line:84%
AUDIENCE: The following one
is basically 5, 1, 5, 1,

00:12:10.540 --> 00:12:12.725 align:middle line:90%
but in F-sharp minor instead.

00:12:12.725 --> 00:12:14.670 align:middle line:84%
MICHAEL SCOTT ASATO
CUTHBERT: Oh, so you're

00:12:14.670 --> 00:12:18.360 align:middle line:84%
interesting thing is that
we have some sort of--

00:12:18.360 --> 00:12:21.390 align:middle line:84%
I don't know, what do you
call it-- modulating sequence?

00:12:21.390 --> 00:12:27.990 align:middle line:84%
Modulating or repetition
on different keys, this

00:12:27.990 --> 00:12:31.950 align:middle line:84%
is the one that I
wanted to get rid of.

00:12:31.950 --> 00:12:34.050 align:middle line:90%
Good.

00:12:34.050 --> 00:12:35.015 align:middle line:90%
Let's see.

00:12:35.015 --> 00:12:37.950 align:middle line:90%


00:12:37.950 --> 00:12:40.540 align:middle line:84%
Who hasn't been
called on in a while?

00:12:40.540 --> 00:12:41.420 align:middle line:90%
Angelica?

00:12:41.420 --> 00:12:44.673 align:middle line:90%


00:12:44.673 --> 00:12:46.090 align:middle line:84%
AUDIENCE: This is
the [INAUDIBLE].

00:12:46.090 --> 00:12:48.230 align:middle line:84%
It's weird that they
chose the F-sharp minor,

00:12:48.230 --> 00:12:52.070 align:middle line:84%
because if you
look at it A major,

00:12:52.070 --> 00:12:56.440 align:middle line:84%
it's like it goes to the major
third a lot, [INAUDIBLE].

00:12:56.440 --> 00:13:00.010 align:middle line:84%
MICHAEL SCOTT ASATO CUTHBERT:
So we're starting in A major

00:13:00.010 --> 00:13:01.702 align:middle line:90%
and then, it goes to the--

00:13:01.702 --> 00:13:02.410 align:middle line:90%
what did you say?

00:13:02.410 --> 00:13:04.240 align:middle line:84%
AUDIENCE: Then, it
goes to F-sharp minor.

00:13:04.240 --> 00:13:07.870 align:middle line:84%
It's a [INAUDIBLE]
to go from A major,

00:13:07.870 --> 00:13:12.270 align:middle line:84%
because it goes between a
sixth and a major third.

00:13:12.270 --> 00:13:14.770 align:middle line:84%
MICHAEL SCOTT ASATO CUTHBERT:
It goes down a sixth and then,

00:13:14.770 --> 00:13:15.140 align:middle line:90%
what?

00:13:15.140 --> 00:13:17.015 align:middle line:84%
AUDIENCE: Then, it goes
between a major third

00:13:17.015 --> 00:13:18.487 align:middle line:84%
and the sixth
chord, minor sixth.

00:13:18.487 --> 00:13:21.070 align:middle line:84%
MICHAEL SCOTT ASATO CUTHBERT:
It goes from a minor sixth chord

00:13:21.070 --> 00:13:23.510 align:middle line:84%
to a major sixth
chord at some point.

00:13:23.510 --> 00:13:26.410 align:middle line:84%
Cool, great, super,
very interesting.

00:13:26.410 --> 00:13:29.620 align:middle line:90%
We'll keep going.

00:13:29.620 --> 00:13:30.790 align:middle line:90%
Who hasn't been called?

00:13:30.790 --> 00:13:33.460 align:middle line:90%
Jordan?

00:13:33.460 --> 00:13:35.680 align:middle line:84%
AUDIENCE: Something
interesting, I guess, is--

00:13:35.680 --> 00:13:39.340 align:middle line:84%
I was trying to figure out what
the chord was, that measure two,

00:13:39.340 --> 00:13:41.860 align:middle line:90%
the last chord?

00:13:41.860 --> 00:13:43.270 align:middle line:90%
I don't know what to call that.

00:13:43.270 --> 00:13:46.000 align:middle line:84%
MICHAEL SCOTT ASATO
CUTHBERT: Yeah, who

00:13:46.000 --> 00:13:49.300 align:middle line:90%
gave a label to a chord here?

00:13:49.300 --> 00:13:50.150 align:middle line:90%
OK, good.

00:13:50.150 --> 00:13:52.880 align:middle line:84%
Let's see, Matthew, what
label did you give it?

00:13:52.880 --> 00:13:53.980 align:middle line:90%
AUDIENCE: V 6 of VI.

00:13:53.980 --> 00:13:56.320 align:middle line:84%
MICHAEL SCOTT ASATO
CUTHBERT: V 6 of VI.

00:13:56.320 --> 00:13:59.950 align:middle line:84%
For those who don't
yet translating

00:13:59.950 --> 00:14:04.650 align:middle line:84%
those numbers to symbols, were
you thinking of something like?

00:14:04.650 --> 00:14:07.660 align:middle line:90%


00:14:07.660 --> 00:14:09.340 align:middle line:90%
AUDIENCE: Yes.

00:14:09.340 --> 00:14:11.230 align:middle line:84%
MICHAEL SCOTT
ASATO CUTHBERT: OK.

00:14:11.230 --> 00:14:14.440 align:middle line:84%
Over time, you do learn to hear
the lower cases and the slashes

00:14:14.440 --> 00:14:18.770 align:middle line:84%
and the things, what's in Roman
numerals and what's in Arabic.

00:14:18.770 --> 00:14:22.400 align:middle line:84%
Anybody give a different
thing for that?

00:14:22.400 --> 00:14:22.900 align:middle line:90%
Yeah?

00:14:22.900 --> 00:14:24.610 align:middle line:84%
AUDIENCE: I kind of
have a Java question.

00:14:24.610 --> 00:14:24.760 align:middle line:84%
MICHAEL SCOTT ASATO
CUTHBERT: Just

00:14:24.760 --> 00:14:26.860 align:middle line:84%
let me-- let's finish on
this particular question.

00:14:26.860 --> 00:14:27.100 align:middle line:90%
AUDIENCE: It is.

00:14:27.100 --> 00:14:27.310 align:middle line:84%
MICHAEL SCOTT ASATO
CUTHBERT: It is?

00:14:27.310 --> 00:14:28.900 align:middle line:90%
OK, go ahead.

00:14:28.900 --> 00:14:32.360 align:middle line:90%
AUDIENCE: I worked from the end.

00:14:32.360 --> 00:14:35.360 align:middle line:84%
I just kind of assumed it was
an F-sharp minor, like this

00:14:35.360 --> 00:14:37.925 align:middle line:90%
was just like the V 6.

00:14:37.925 --> 00:14:40.050 align:middle line:84%
MICHAEL SCOTT ASATO CUTHBERT:
This was just in V 6.

00:14:40.050 --> 00:14:42.217 align:middle line:84%
Good, so I think we're
getting to the next question.

00:14:42.217 --> 00:14:46.460 align:middle line:84%
How many people noted a
key change in the piece?

00:14:46.460 --> 00:14:48.450 align:middle line:84%
Not everybody got far
enough to do this.

00:14:48.450 --> 00:14:50.600 align:middle line:90%
One person did, two people.

00:14:50.600 --> 00:14:53.700 align:middle line:90%
You presumably did or did not?

00:14:53.700 --> 00:14:56.190 align:middle line:84%
AUDIENCE: I only got halfway
through measure three.

00:14:56.190 --> 00:14:57.940 align:middle line:84%
MICHAEL SCOTT ASATO
CUTHBERT: That's fine.

00:14:57.940 --> 00:14:59.330 align:middle line:90%
Good.

00:14:59.330 --> 00:15:02.720 align:middle line:90%
Anybody not find a key change?

00:15:02.720 --> 00:15:04.250 align:middle line:90%
John.

00:15:04.250 --> 00:15:08.100 align:middle line:84%
For those who did
think of a key change,

00:15:08.100 --> 00:15:11.450 align:middle line:84%
where did you put
the key change?

00:15:11.450 --> 00:15:12.360 align:middle line:90%
Adam?

00:15:12.360 --> 00:15:13.680 align:middle line:84%
AUDIENCE: Between
measure seven and eight.

00:15:13.680 --> 00:15:15.555 align:middle line:84%
MICHAEL SCOTT ASATO
CUTHBERT: Between measure

00:15:15.555 --> 00:15:18.110 align:middle line:84%
seven and eight,
five, six, seven,

00:15:18.110 --> 00:15:20.910 align:middle line:90%
between here a key change.

00:15:20.910 --> 00:15:22.650 align:middle line:90%
Good, any other things?

00:15:22.650 --> 00:15:23.150 align:middle line:90%
Jason?

00:15:23.150 --> 00:15:24.775 align:middle line:84%
AUDIENCE: I didn't
get that far, but it

00:15:24.775 --> 00:15:28.160 align:middle line:84%
does feel like there is a key
change between two and three.

00:15:28.160 --> 00:15:31.880 align:middle line:84%
MICHAEL SCOTT ASATO CUTHBERT:
Between two and three, great.

00:15:31.880 --> 00:15:33.673 align:middle line:90%
Where would we put it exactly?

00:15:33.673 --> 00:15:40.220 align:middle line:90%


00:15:40.220 --> 00:15:44.240 align:middle line:84%
If you are buying
Jason's thing, is it--

00:15:44.240 --> 00:15:48.830 align:middle line:84%
if you're going with Jason's,
where would you put that?

00:15:48.830 --> 00:15:51.500 align:middle line:84%
AUDIENCE: In between the two
measures of that eight letter

00:15:51.500 --> 00:15:55.250 align:middle line:84%
word, within the fermata, second
measure of third and fourth

00:15:55.250 --> 00:15:55.770 align:middle line:90%
beats.

00:15:55.770 --> 00:15:57.603 align:middle line:84%
MICHAEL SCOTT ASATO
CUTHBERT: Second measure

00:15:57.603 --> 00:15:59.900 align:middle line:84%
between third and fourth
beat, just after the fermata.

00:15:59.900 --> 00:16:01.855 align:middle line:84%
Anybody would place
another place?

00:16:01.855 --> 00:16:05.210 align:middle line:90%


00:16:05.210 --> 00:16:08.630 align:middle line:84%
Anybody think that it
might be ambiguous,

00:16:08.630 --> 00:16:10.580 align:middle line:84%
and that we might
be kind of floating

00:16:10.580 --> 00:16:14.280 align:middle line:84%
between two keys for a while
when we do certain key changes?

00:16:14.280 --> 00:16:16.580 align:middle line:90%
Anyone ever think that?

00:16:16.580 --> 00:16:20.420 align:middle line:84%
There's a type of
p-chord, that chord

00:16:20.420 --> 00:16:23.700 align:middle line:84%
thing that begins with a p,
that some people use for that.

00:16:23.700 --> 00:16:25.190 align:middle line:90%
Yeah, John?

00:16:25.190 --> 00:16:26.330 align:middle line:90%
AUDIENCE: Picardy?

00:16:26.330 --> 00:16:27.860 align:middle line:84%
MICHAEL SCOTT ASATO CUTHBERT:
Picardy is a type of chord.

00:16:27.860 --> 00:16:29.210 align:middle line:90%
It does apply to this piece.

00:16:29.210 --> 00:16:33.810 align:middle line:84%
Where do we see some
that might be a Picardy?

00:16:33.810 --> 00:16:40.860 align:middle line:84%
Anybody, Picardy third, a
major third in a minor context?

00:16:40.860 --> 00:16:41.430 align:middle line:90%
Yeah?

00:16:41.430 --> 00:16:42.460 align:middle line:90%
AUDIENCE: The very last chord?

00:16:42.460 --> 00:16:43.860 align:middle line:84%
MICHAEL SCOTT ASATO CUTHBERT:
Very last chord, yep.

00:16:43.860 --> 00:16:45.460 align:middle line:84%
AUDIENCE: I think the key word
you were looking for is pivot.

00:16:45.460 --> 00:16:46.710 align:middle line:84%
MICHAEL SCOTT ASATO
CUTHBERT: Pivot, yep.

00:16:46.710 --> 00:16:48.180 align:middle line:90%
We went with two different ones.

00:16:48.180 --> 00:16:51.210 align:middle line:84%
We got two different
great p-chords.

00:16:51.210 --> 00:16:53.760 align:middle line:84%
Pivot chords are
what some people

00:16:53.760 --> 00:16:56.010 align:middle line:84%
use to say that
oh, you know, this

00:16:56.010 --> 00:16:59.400 align:middle line:84%
is the moment when we're
in two keys for a while.

00:16:59.400 --> 00:17:02.220 align:middle line:84%
I remember asking my
teacher, OK, well,

00:17:02.220 --> 00:17:03.510 align:middle line:90%
can there be a pivot region?

00:17:03.510 --> 00:17:05.079 align:middle line:90%
One teacher said, no.

00:17:05.079 --> 00:17:06.730 align:middle line:84%
You choose a chord
and stick to it.

00:17:06.730 --> 00:17:08.950 align:middle line:84%
And then, another teacher
said, no, of course.

00:17:08.950 --> 00:17:11.250 align:middle line:90%
There could be.

00:17:11.250 --> 00:17:13.230 align:middle line:90%
Good.

00:17:13.230 --> 00:17:16.200 align:middle line:84%
A couple of things, for
those who did do the end

00:17:16.200 --> 00:17:18.480 align:middle line:84%
or get to the end,
how many thought

00:17:18.480 --> 00:17:21.780 align:middle line:90%
we were in A major at the end?

00:17:21.780 --> 00:17:25.200 align:middle line:84%
How many thought we
were in F-sharp major?

00:17:25.200 --> 00:17:28.170 align:middle line:84%
How many thought we
were in F-sharp minor?

00:17:28.170 --> 00:17:32.740 align:middle line:84%
A couple, how many thought we
were in another key altogether,

00:17:32.740 --> 00:17:34.640 align:middle line:90%
D Locrian?

00:17:34.640 --> 00:17:35.140 align:middle line:90%
No?

00:17:35.140 --> 00:17:36.080 align:middle line:90%
OK, good.

00:17:36.080 --> 00:17:38.800 align:middle line:84%
Whew, that last one is the only
one that I wouldn't have liked.

00:17:38.800 --> 00:17:42.220 align:middle line:84%
Somebody who thought we
were in F-sharp major,

00:17:42.220 --> 00:17:46.240 align:middle line:84%
explain to the F-sharp minor
people why they're wrong.

00:17:46.240 --> 00:17:48.242 align:middle line:90%
Yeah, go ahead.

00:17:48.242 --> 00:17:50.200 align:middle line:84%
AUDIENCE: All the A-sharps
in the last two bars

00:17:50.200 --> 00:17:50.930 align:middle line:90%
are indicators.

00:17:50.930 --> 00:17:54.040 align:middle line:84%
But also, I think we thought
that the fermata measures

00:17:54.040 --> 00:17:59.510 align:middle line:84%
seven sounded like the
dominant V of an F-sharp minor,

00:17:59.510 --> 00:18:01.452 align:middle line:84%
but it ended up resolving
into F-sharp major

00:18:01.452 --> 00:18:03.910 align:middle line:84%
in the next chord, which kind
of persists into the next two

00:18:03.910 --> 00:18:04.410 align:middle line:90%
measures.

00:18:04.410 --> 00:18:06.220 align:middle line:84%
MICHAEL SCOTT ASATO
CUTHBERT: OK, good.

00:18:06.220 --> 00:18:08.860 align:middle line:84%
A couple of things that
I heard that's always

00:18:08.860 --> 00:18:12.730 align:middle line:84%
a very good way
of not necessarily

00:18:12.730 --> 00:18:15.880 align:middle line:84%
winning, but advancing an
analysis argument, he said,

00:18:15.880 --> 00:18:17.230 align:middle line:90%
it sounded like.

00:18:17.230 --> 00:18:19.528 align:middle line:84%
Good, always thinking,
let our ears do it,

00:18:19.528 --> 00:18:21.070 align:middle line:84%
not just what's
written on the paper.

00:18:21.070 --> 00:18:25.690 align:middle line:84%
Somebody who was an
F-sharp minor winner,

00:18:25.690 --> 00:18:28.190 align:middle line:84%
try to convince the F-sharp
major people that they're wrong.

00:18:28.190 --> 00:18:29.170 align:middle line:90%
Yeah, John?

00:18:29.170 --> 00:18:31.490 align:middle line:84%
AUDIENCE: Quite a bit
of the piece, like here,

00:18:31.490 --> 00:18:34.570 align:middle line:90%
hints a lot at F-sharp minor.

00:18:34.570 --> 00:18:39.700 align:middle line:84%
You have a lot of C-sharp major
chords leading to F-sharp minor.

00:18:39.700 --> 00:18:41.830 align:middle line:84%
The last two measures
can be seen as Bach

00:18:41.830 --> 00:18:45.760 align:middle line:84%
just kind of stylizing
things while keeping it still

00:18:45.760 --> 00:18:48.370 align:middle line:90%
in F-sharp, F-sharp minor.

00:18:48.370 --> 00:18:50.750 align:middle line:84%
MICHAEL SCOTT ASATO
CUTHBERT: So a stylization,

00:18:50.750 --> 00:18:51.860 align:middle line:90%
but that doesn't change?

00:18:51.860 --> 00:18:53.318 align:middle line:84%
AUDIENCE: [INAUDIBLE]
technique is.

00:18:53.318 --> 00:18:55.210 align:middle line:84%
MICHAEL SCOTT ASATO
CUTHBERT: Yeah, so we

00:18:55.210 --> 00:18:58.270 align:middle line:90%
can have a disagreement on this.

00:18:58.270 --> 00:19:00.140 align:middle line:84%
I'm not going to
say, at this moment,

00:19:00.140 --> 00:19:03.310 align:middle line:84%
which side I'm more
on because I can

00:19:03.310 --> 00:19:05.543 align:middle line:90%
see the validity of both sides.

00:19:05.543 --> 00:19:09.550 align:middle line:90%


00:19:09.550 --> 00:19:12.220 align:middle line:84%
Because I know
the world of Bach,

00:19:12.220 --> 00:19:15.530 align:middle line:84%
I myself cannot
really hear it as oh,

00:19:15.530 --> 00:19:19.370 align:middle line:84%
we're still in A major and we
are ending on the sixth chord

00:19:19.370 --> 00:19:22.160 align:middle line:84%
and the sixth chords
are very important.

00:19:22.160 --> 00:19:23.770 align:middle line:84%
But on the other
hand, if I listen

00:19:23.770 --> 00:19:26.040 align:middle line:84%
to a lot more
contemporary popular music

00:19:26.040 --> 00:19:30.240 align:middle line:84%
where VI is a perfectly
valid chord to begin on

00:19:30.240 --> 00:19:35.440 align:middle line:84%
and occasionally to end
on, seems quite possible.

00:19:35.440 --> 00:19:35.970 align:middle line:90%
Good.

00:19:35.970 --> 00:19:39.840 align:middle line:84%
So we just spent
30 minutes looking

00:19:39.840 --> 00:19:45.720 align:middle line:90%
at one chorale in particular.

00:19:45.720 --> 00:19:48.850 align:middle line:84%
That's not something we're going
to do very often in this class.

00:19:48.850 --> 00:19:52.260 align:middle line:84%
But that is the normal way
of analyzing music, right?

00:19:52.260 --> 00:19:56.280 align:middle line:84%
So what I want to
do is to bring up

00:19:56.280 --> 00:19:59.820 align:middle line:84%
the concepts of what we're doing
with corpus analysis, which

00:19:59.820 --> 00:20:02.010 align:middle line:84%
is what we're going
to be doing for most

00:20:02.010 --> 00:20:06.570 align:middle line:90%
of the rest of this unit.

00:20:06.570 --> 00:20:08.730 align:middle line:84%
I'll just put this
up for a second.

00:20:08.730 --> 00:20:12.940 align:middle line:90%
There's a way I can blink this.

00:20:12.940 --> 00:20:13.565 align:middle line:90%
Does that work?

00:20:13.565 --> 00:20:16.080 align:middle line:90%


00:20:16.080 --> 00:20:19.290 align:middle line:90%
Yep, there we go.

00:20:19.290 --> 00:20:21.900 align:middle line:84%
We often think--
you may have heard

00:20:21.900 --> 00:20:26.090 align:middle line:84%
this in one of your literature
classes about close reading,

00:20:26.090 --> 00:20:30.950 align:middle line:84%
where you're looking through
and finding all of Mark Twain's

00:20:30.950 --> 00:20:35.370 align:middle line:84%
metaphors, or all of Jane
Austen's foreshadowings,

00:20:35.370 --> 00:20:38.090 align:middle line:84%
and how many
Greek-rooted words are

00:20:38.090 --> 00:20:40.640 align:middle line:84%
used in this sentence,
this paragraph,

00:20:40.640 --> 00:20:45.200 align:middle line:84%
compared to the Latin words
or the Anglo-Saxon ones.

00:20:45.200 --> 00:20:49.466 align:middle line:84%
Close reading is the main
type of literary analysis.

00:20:49.466 --> 00:20:54.110 align:middle line:90%


00:20:54.110 --> 00:20:57.810 align:middle line:84%
It goes back to the '80s, but
really, in the last 20 years,

00:20:57.810 --> 00:21:02.600 align:middle line:84%
there's been a movement
associated with the computer

00:21:02.600 --> 00:21:06.770 align:middle line:90%
called distant reading.

00:21:06.770 --> 00:21:08.610 align:middle line:84%
Other people were
doing this before,

00:21:08.610 --> 00:21:12.950 align:middle line:84%
but the term is connected
to a literary critic named

00:21:12.950 --> 00:21:14.810 align:middle line:90%
Franco Moretti.

00:21:14.810 --> 00:21:17.690 align:middle line:84%
That's not going to be
on an exam or anything.

00:21:17.690 --> 00:21:20.570 align:middle line:84%
The notion is that distant
reading is something

00:21:20.570 --> 00:21:24.420 align:middle line:84%
you do when you're not
close enough to the text

00:21:24.420 --> 00:21:30.100 align:middle line:84%
to really make these kinds
of precise arguments,

00:21:30.100 --> 00:21:34.990 align:middle line:84%
but you are far enough away that
you can see not just one text,

00:21:34.990 --> 00:21:35.903 align:middle line:90%
but multiple texts.

00:21:35.903 --> 00:21:38.490 align:middle line:90%


00:21:38.490 --> 00:21:43.500 align:middle line:84%
Some of us who work on
corpus studies in music

00:21:43.500 --> 00:21:46.260 align:middle line:84%
have started
replacing these terms

00:21:46.260 --> 00:21:52.200 align:middle line:84%
with close listening,
which is conventional music

00:21:52.200 --> 00:22:08.315 align:middle line:84%
analysis, and distant listening,
which is corpus studies.

00:22:08.315 --> 00:22:16.530 align:middle line:90%


00:22:16.530 --> 00:22:21.580 align:middle line:84%
What do you think
some of the things

00:22:21.580 --> 00:22:25.360 align:middle line:84%
that we can do
with close reading

00:22:25.360 --> 00:22:27.820 align:middle line:90%
or close listening better--

00:22:27.820 --> 00:22:30.340 align:middle line:84%
close analysis, whatever
you want to call it-- better

00:22:30.340 --> 00:22:31.696 align:middle line:90%
than distant analysis?

00:22:31.696 --> 00:22:34.960 align:middle line:90%


00:22:34.960 --> 00:22:38.870 align:middle line:84%
AUDIENCE: Close analysis, we
can look for specific phrases,

00:22:38.870 --> 00:22:40.330 align:middle line:90%
motifs, like that.

00:22:40.330 --> 00:22:43.050 align:middle line:84%
MICHAEL SCOTT ASATO CUTHBERT:
Specific phrases or motifs, yep.

00:22:43.050 --> 00:22:53.200 align:middle line:90%


00:22:53.200 --> 00:22:54.495 align:middle line:90%
Anything else, you think?

00:22:54.495 --> 00:22:57.100 align:middle line:90%


00:22:57.100 --> 00:23:00.470 align:middle line:84%
Let's think of the
world we're in today,

00:23:00.470 --> 00:23:03.680 align:middle line:84%
not the world of 5,000
years in the future,

00:23:03.680 --> 00:23:06.700 align:middle line:84%
or maybe five minutes, depending
on what happened at OpenAI

00:23:06.700 --> 00:23:13.810 align:middle line:84%
today, where the computer can
do many things that it can't do.

00:23:13.810 --> 00:23:16.833 align:middle line:84%
What are some things that
we're going to start losing?

00:23:16.833 --> 00:23:22.300 align:middle line:90%


00:23:22.300 --> 00:23:22.840 align:middle line:90%
Yeah?

00:23:22.840 --> 00:23:23.485 align:middle line:90%
AUDIENCE: I have a question.

00:23:23.485 --> 00:23:24.943 align:middle line:84%
MICHAEL SCOTT ASATO
CUTHBERT: Yeah?

00:23:24.943 --> 00:23:27.648 align:middle line:84%
AUDIENCE: What makes
distance listening

00:23:27.648 --> 00:23:28.940 align:middle line:90%
different than close listening.

00:23:28.940 --> 00:23:32.200 align:middle line:84%
Because in a corpus study,
you can study everything

00:23:32.200 --> 00:23:33.682 align:middle line:90%
in close listening.

00:23:33.682 --> 00:23:35.140 align:middle line:84%
MICHAEL SCOTT ASATO
CUTHBERT: Sure.

00:23:35.140 --> 00:23:38.500 align:middle line:84%
Let's think of
some of the things.

00:23:38.500 --> 00:23:40.130 align:middle line:84%
Let's think of
some of the things.

00:23:40.130 --> 00:23:42.340 align:middle line:90%
We'll go back to literature.

00:23:42.340 --> 00:23:43.990 align:middle line:84%
What are some of the
things that humans

00:23:43.990 --> 00:23:47.050 align:middle line:84%
are good at in picking
out of literature

00:23:47.050 --> 00:23:50.200 align:middle line:84%
that computers are
still not very good at?

00:23:50.200 --> 00:23:52.340 align:middle line:90%
AUDIENCE: More abstract.

00:23:52.340 --> 00:23:55.360 align:middle line:84%
We can be like, oh, this is
an allusion to Shakespeare.

00:23:55.360 --> 00:23:57.640 align:middle line:84%
Similarly, we can
notice patterns

00:23:57.640 --> 00:24:02.080 align:middle line:84%
that are hard to really condense
into one formula or function.

00:24:02.080 --> 00:24:05.890 align:middle line:84%
Or it can be like, oh, this is a
similar melody to something that

00:24:05.890 --> 00:24:07.280 align:middle line:90%
was used previously.

00:24:07.280 --> 00:24:09.280 align:middle line:84%
MICHAEL SCOTT ASATO
CUTHBERT: That's a good one.

00:24:09.280 --> 00:24:10.540 align:middle line:90%
Other things?

00:24:10.540 --> 00:24:13.810 align:middle line:90%
What about for you?

00:24:13.810 --> 00:24:17.630 align:middle line:84%
Let's start with one
that's in my head,

00:24:17.630 --> 00:24:22.280 align:middle line:84%
but I really want to make sure
we don't lose track of this.

00:24:22.280 --> 00:24:25.400 align:middle line:84%
Anyone have a piece
of music they love?

00:24:25.400 --> 00:24:26.430 align:middle line:90%
OK, almost everybody.

00:24:26.430 --> 00:24:28.160 align:middle line:90%
Good.

00:24:28.160 --> 00:24:30.365 align:middle line:84%
How did you fall in love
with that piece of music?

00:24:30.365 --> 00:24:33.557 align:middle line:90%


00:24:33.557 --> 00:24:34.640 align:middle line:90%
AUDIENCE: Listening to it.

00:24:34.640 --> 00:24:36.440 align:middle line:84%
MICHAEL SCOTT ASATO CUTHBERT:
Listening to it, good.

00:24:36.440 --> 00:24:38.030 align:middle line:84%
How many people
have fallen in love

00:24:38.030 --> 00:24:40.765 align:middle line:84%
with a piece of music
via corpus studies?

00:24:40.765 --> 00:24:43.910 align:middle line:90%


00:24:43.910 --> 00:24:48.020 align:middle line:90%
Ooh, this one has 47% of sharps.

00:24:48.020 --> 00:24:52.460 align:middle line:84%
Let's not forget
that the reason why

00:24:52.460 --> 00:24:57.380 align:middle line:84%
we make music and listen
to it is the enjoyment

00:24:57.380 --> 00:25:01.700 align:middle line:90%
happens at the close level.

00:25:01.700 --> 00:25:04.640 align:middle line:84%
The other thing I was thinking
of, with the literature,

00:25:04.640 --> 00:25:10.200 align:middle line:84%
is this character, I'm reading
Crying in H Mart right now.

00:25:10.200 --> 00:25:12.180 align:middle line:84%
I don't know if anyone
knows this memoir.

00:25:12.180 --> 00:25:15.980 align:middle line:84%
But one of the characters in it
is going through a very similar

00:25:15.980 --> 00:25:20.550 align:middle line:84%
experience that I went through
in my life, with a family death,

00:25:20.550 --> 00:25:25.430 align:middle line:84%
and it was very deeply
resonating with me.

00:25:25.430 --> 00:25:29.135 align:middle line:90%
Resonance outside your life--

00:25:29.135 --> 00:25:32.588 align:middle line:90%


00:25:32.588 --> 00:25:34.130 align:middle line:84%
not outside your
life, I can't really

00:25:34.130 --> 00:25:37.400 align:middle line:84%
everything outside my
life-- outside the text.

00:25:37.400 --> 00:25:41.463 align:middle line:84%
We'll use text to mean
both literature and music.

00:25:41.463 --> 00:25:44.768 align:middle line:90%


00:25:44.768 --> 00:25:45.560 align:middle line:90%
There is something.

00:25:45.560 --> 00:25:49.040 align:middle line:84%
What are some things, however,
that distant listening

00:25:49.040 --> 00:25:51.180 align:middle line:84%
or distant reading,
that is to say,

00:25:51.180 --> 00:25:54.380 align:middle line:84%
having a computer
look at 1,000 pieces,

00:25:54.380 --> 00:25:57.890 align:middle line:84%
might do better
than close reading--

00:25:57.890 --> 00:26:00.720 align:middle line:84%
let's first assume we
have infinite time--

00:26:00.720 --> 00:26:09.020 align:middle line:90%
than close reading 1,000 pieces?

00:26:09.020 --> 00:26:09.590 align:middle line:90%
Yeah?

00:26:09.590 --> 00:26:11.570 align:middle line:84%
AUDIENCE: They can allow you to,
more effectively when listening

00:26:11.570 --> 00:26:13.370 align:middle line:84%
to a new piece, guess
who the composer was

00:26:13.370 --> 00:26:14.730 align:middle line:90%
or what the time period was.

00:26:14.730 --> 00:26:16.470 align:middle line:84%
MICHAEL SCOTT
ASATO CUTHBERT: OK.

00:26:16.470 --> 00:26:24.540 align:middle line:84%
So you could use that
distance for guessing

00:26:24.540 --> 00:26:32.130 align:middle line:90%
genre or period or authorship.

00:26:32.130 --> 00:26:35.590 align:middle line:84%
You might be able to do
that with the 1,000 scores,

00:26:35.590 --> 00:26:37.570 align:middle line:84%
but that would
take a lot longer.

00:26:37.570 --> 00:26:38.190 align:middle line:90%
Good.

00:26:38.190 --> 00:26:40.360 align:middle line:84%
What are other things
we want to solve?

00:26:40.360 --> 00:26:40.900 align:middle line:90%
Yeah?

00:26:40.900 --> 00:26:43.590 align:middle line:84%
AUDIENCE: I think it could
do with a less abstract way

00:26:43.590 --> 00:26:45.820 align:middle line:84%
of describing any
patterns you might hear.

00:26:45.820 --> 00:26:47.860 align:middle line:84%
It's easy to say
something sounds similar,

00:26:47.860 --> 00:26:51.312 align:middle line:84%
but actually analyzing it gives
you words to put that into.

00:26:51.312 --> 00:26:52.770 align:middle line:84%
MICHAEL SCOTT ASATO
CUTHBERT: So it

00:26:52.770 --> 00:26:59.220 align:middle line:84%
gives you words for
describing, gives words

00:26:59.220 --> 00:27:00.776 align:middle line:90%
for describing similarity.

00:27:00.776 --> 00:27:05.400 align:middle line:90%


00:27:05.400 --> 00:27:10.030 align:middle line:84%
And what else besides words
for describing similarity?

00:27:10.030 --> 00:27:11.610 align:middle line:84%
What are some other
things that we

00:27:11.610 --> 00:27:15.350 align:middle line:90%
like to get out of this class?

00:27:15.350 --> 00:27:15.850 align:middle line:90%
Yeah?

00:27:15.850 --> 00:27:16.600 align:middle line:90%
AUDIENCE: Numbers.

00:27:16.600 --> 00:27:18.762 align:middle line:84%
MICHAEL SCOTT ASATO CUTHBERT:
Numbers, statistics.

00:27:18.762 --> 00:27:23.110 align:middle line:90%


00:27:23.110 --> 00:27:28.040 align:middle line:84%
These are some of the reasons
why we want to be thinking this.

00:27:28.040 --> 00:27:30.430 align:middle line:90%
But I think--

00:27:30.430 --> 00:27:33.790 align:middle line:84%
I'll just say, because I'm a
couple of minutes behind where

00:27:33.790 --> 00:27:40.120 align:middle line:84%
I'd like to be-- that the
most effective way of working

00:27:40.120 --> 00:27:45.820 align:middle line:84%
with any of new genre,
new style, new anything

00:27:45.820 --> 00:27:49.340 align:middle line:84%
is to start with close
listening, close reading.

00:27:49.340 --> 00:27:51.440 align:middle line:84%
Start with the analysis
that you've done now

00:27:51.440 --> 00:27:55.330 align:middle line:84%
and try to do things
by hand before moving

00:27:55.330 --> 00:27:57.230 align:middle line:90%
to the programming.

00:27:57.230 --> 00:27:59.360 align:middle line:84%
How are we going to
do distant listening?

00:27:59.360 --> 00:28:01.820 align:middle line:84%
How are we going to teach
the computer to do this?

00:28:01.820 --> 00:28:05.350 align:middle line:84%
Because there's something
that didn't come up,

00:28:05.350 --> 00:28:10.490 align:middle line:84%
that the ambiguity
and the types of oh,

00:28:10.490 --> 00:28:13.000 align:middle line:84%
I'm going to have to make a
judgment call on this, on where

00:28:13.000 --> 00:28:14.540 align:middle line:90%
the modulation happened.

00:28:14.540 --> 00:28:20.890 align:middle line:84%
Or is this really V6 of VI, or
did we already jump directly

00:28:20.890 --> 00:28:21.920 align:middle line:90%
to the new key?

00:28:21.920 --> 00:28:26.080 align:middle line:84%
Or is this thing that
I'm labeling actually

00:28:26.080 --> 00:28:27.277 align:middle line:90%
a chord at all?

00:28:27.277 --> 00:28:29.110 align:middle line:84%
Or is it a whole bunch
of passing tones that

00:28:29.110 --> 00:28:30.560 align:middle line:90%
happen to look like a chord?

00:28:30.560 --> 00:28:36.580 align:middle line:84%
These kinds of ambiguities
are things that, I think,

00:28:36.580 --> 00:28:39.200 align:middle line:84%
will come up when you're
doing the close listening,

00:28:39.200 --> 00:28:41.530 align:middle line:90%
close analysis.

00:28:41.530 --> 00:28:44.530 align:middle line:84%
You'll know you have to
account for them in some way

00:28:44.530 --> 00:28:46.123 align:middle line:90%
during the distant analysis.

00:28:46.123 --> 00:28:48.040 align:middle line:84%
And sometimes, accounting
for them in some way

00:28:48.040 --> 00:28:49.870 align:middle line:84%
is just leaving a
footnote saying,

00:28:49.870 --> 00:28:51.890 align:middle line:84%
there's this really
complex problem,

00:28:51.890 --> 00:28:55.150 align:middle line:84%
but I only saw it twice
in close listening

00:28:55.150 --> 00:28:58.510 align:middle line:84%
to four pieces, so
hopefully we can ignore it

00:28:58.510 --> 00:29:02.080 align:middle line:84%
as a rounding error, but
at least declaring that.

00:29:02.080 --> 00:29:04.700 align:middle line:84%
Then, when you've done
your corpus study,

00:29:04.700 --> 00:29:09.320 align:middle line:84%
there's something really
valuable about finding things

00:29:09.320 --> 00:29:10.470 align:middle line:90%
that are interesting there.

00:29:10.470 --> 00:29:10.970 align:middle line:90%
Right?

00:29:10.970 --> 00:29:14.510 align:middle line:84%
What's that piece that
completely throws--

00:29:14.510 --> 00:29:17.370 align:middle line:84%
that outlier piece that
completely throws out,

00:29:17.370 --> 00:29:20.765 align:middle line:84%
and going back and
listening to it.

00:29:20.765 --> 00:29:23.390 align:middle line:84%
Maybe, it doesn't even have to
be close listening, but actually

00:29:23.390 --> 00:29:28.520 align:middle line:84%
just human listening, so that we
get what's the end result, why

00:29:28.520 --> 00:29:29.440 align:middle line:90%
we do any of this?

00:29:29.440 --> 00:29:34.910 align:middle line:90%


00:29:34.910 --> 00:29:38.730 align:middle line:84%
So we can get to the enjoyment,
the point of trying to do.

00:29:38.730 --> 00:29:41.810 align:middle line:84%
One of my dream
projects, you all

00:29:41.810 --> 00:29:45.120 align:middle line:84%
have heard of IMSLP,
huge music score.

00:29:45.120 --> 00:29:49.760 align:middle line:84%
I want to find the most
interesting, unusual piece

00:29:49.760 --> 00:29:54.680 align:middle line:84%
by every minor composer that's
on there, that has the one

00:29:54.680 --> 00:29:59.300 align:middle line:84%
piece that this one forgotten
person, that she or he wrote,

00:29:59.300 --> 00:30:01.962 align:middle line:84%
that we should actually
be listening to.

00:30:01.962 --> 00:30:03.420 align:middle line:84%
Maybe, it's not
even the one piece,

00:30:03.420 --> 00:30:10.290 align:middle line:84%
this 1/32 excerpt that Gruber
wrote that I don't know

00:30:10.290 --> 00:30:13.220 align:middle line:90%
and I'd love to know it.

00:30:13.220 --> 00:30:15.330 align:middle line:84%
We're not there
yet, not there yet.

00:30:15.330 --> 00:30:17.835 align:middle line:90%
But maybe, we can get there.

00:30:17.835 --> 00:30:18.335 align:middle line:90%
Great.

00:30:18.335 --> 00:30:22.365 align:middle line:90%


00:30:22.365 --> 00:30:23.990 align:middle line:84%
The next thing you're
going to be doing

00:30:23.990 --> 00:30:26.990 align:middle line:84%
is trying to figure out
what kinds of things

00:30:26.990 --> 00:30:29.250 align:middle line:84%
we can do this kind
of close analysis on.

00:30:29.250 --> 00:30:33.900 align:middle line:84%
We did the Irish music
corpus in class on Wednesday.

00:30:33.900 --> 00:30:37.610 align:middle line:84%
That was a pretty small corpus,
was 60 pieces or something.

00:30:37.610 --> 00:30:41.270 align:middle line:84%
Then online, I gave you tools
for using the entire Bach

00:30:41.270 --> 00:30:42.560 align:middle line:90%
chorale corpus.

00:30:42.560 --> 00:30:46.980 align:middle line:84%
If you want to find anything
super unusual in there,

00:30:46.980 --> 00:30:51.170 align:middle line:84%
that can be a good
place, but be boring

00:30:51.170 --> 00:30:54.080 align:middle line:90%
if those are the only two ones.

00:30:54.080 --> 00:30:57.440 align:middle line:84%
Your next problem set, and
it's up, is problem set five.

00:30:57.440 --> 00:31:02.000 align:middle line:90%
Let me put this back up here.

00:31:02.000 --> 00:31:07.240 align:middle line:84%
This one, what we want to
do is in groups of two,

00:31:07.240 --> 00:31:09.850 align:middle line:84%
prepare three to five
page short paper--

00:31:09.850 --> 00:31:15.240 align:middle line:84%
three pages is totally
fine, five pages, sometimes,

00:31:15.240 --> 00:31:17.190 align:middle line:84%
might be something
that you want to do--

00:31:17.190 --> 00:31:22.200 align:middle line:84%
that tries to figure out some
corpus that's out there that's

00:31:22.200 --> 00:31:29.610 align:middle line:84%
been active in the past 10
years and try to figure out

00:31:29.610 --> 00:31:35.310 align:middle line:84%
how it works and why it's out
there and what its extent is.

00:31:35.310 --> 00:31:37.510 align:middle line:84%
What are the goals
of the project?

00:31:37.510 --> 00:31:39.370 align:middle line:90%
Who are the participants?

00:31:39.370 --> 00:31:42.040 align:middle line:84%
How are the scores or
other musical data encoded?

00:31:42.040 --> 00:31:45.640 align:middle line:84%
I think I've forgotten to put on
here, what's actually in there?

00:31:45.640 --> 00:31:47.980 align:middle line:84%
What's the project
actually trying to do?

00:31:47.980 --> 00:31:50.320 align:middle line:84%
I suppose that's the
goal of the project,

00:31:50.320 --> 00:31:51.730 align:middle line:90%
but what pieces are collected?

00:31:51.730 --> 00:31:54.240 align:middle line:84%
What is the overall
extent of the problem?

00:31:54.240 --> 00:31:57.340 align:middle line:90%
What is it trying to solve?

00:31:57.340 --> 00:31:59.370 align:middle line:84%
By doing this, how
much of the problem

00:31:59.370 --> 00:32:03.240 align:middle line:84%
do you think could be reasonably
solved in a limited timetable?

00:32:03.240 --> 00:32:06.250 align:middle line:84%
You don't have to do all of
these, except for the first one.

00:32:06.250 --> 00:32:08.530 align:middle line:90%
We'll get to the last one.

00:32:08.530 --> 00:32:11.410 align:middle line:84%
What are the strengths
and weaknesses?

00:32:11.410 --> 00:32:13.880 align:middle line:84%
What could you do
with this corpus?

00:32:13.880 --> 00:32:17.050 align:middle line:84%
What questions,
relevant to this class,

00:32:17.050 --> 00:32:21.580 align:middle line:90%
could you answer by having this?

00:32:21.580 --> 00:32:24.880 align:middle line:84%
Just like we did with the
what questions could you

00:32:24.880 --> 00:32:28.480 align:middle line:84%
answer with a whole
collection of Bach chorales--

00:32:28.480 --> 00:32:31.990 align:middle line:84%
was that set p set one or
three or something like that?

00:32:31.990 --> 00:32:34.820 align:middle line:84%
You don't need to use
the corpus to answer it.

00:32:34.820 --> 00:32:39.130 align:middle line:84%
You're not being asked to
download and do the things.

00:32:39.130 --> 00:32:42.370 align:middle line:84%
Anyhow, you'll probably
need to know a little bit

00:32:42.370 --> 00:32:45.910 align:middle line:84%
about the kinds of music
and the problems associated

00:32:45.910 --> 00:32:48.340 align:middle line:84%
with the project and what
they're trying to do.

00:32:48.340 --> 00:32:53.860 align:middle line:84%
My preference is that you focus
on a corpus of musical scores--

00:32:53.860 --> 00:32:55.370 align:middle line:90%
sorry, it's too high up there--

00:32:55.370 --> 00:32:58.760 align:middle line:84%
scores that can be readable
by Music21 or something else.

00:32:58.760 --> 00:33:01.240 align:middle line:84%
But if something really
grabs you and you're like,

00:33:01.240 --> 00:33:04.940 align:middle line:84%
this is the music I really
like and it's all audio,

00:33:04.940 --> 00:33:09.080 align:middle line:84%
it's all images or something
like that, go ahead and do that.

00:33:09.080 --> 00:33:11.590 align:middle line:84%
Just the only two
things I'm going to say,

00:33:11.590 --> 00:33:14.320 align:middle line:90%
IMSLP and Wikipedia are out.

00:33:14.320 --> 00:33:16.060 align:middle line:90%
Too obvious, right?

00:33:16.060 --> 00:33:19.690 align:middle line:84%
I've given some places
that you can begin.

00:33:19.690 --> 00:33:22.790 align:middle line:84%
Some of them, I was nice enough
to give the links and other ones

00:33:22.790 --> 00:33:27.250 align:middle line:84%
I'm like, no, and then,
some directories of projects

00:33:27.250 --> 00:33:33.160 align:middle line:84%
and what you're going
to be asked for--

00:33:33.160 --> 00:33:40.720 align:middle line:84%
URLs, screenshots, how deeply
the questions you were answered.

00:33:40.720 --> 00:33:42.530 align:middle line:84%
Hope that you'll find
this kind of fun.

00:33:42.530 --> 00:33:43.405 align:middle line:90%
It's due in a week.

00:33:43.405 --> 00:33:46.900 align:middle line:84%
What I want to do
is give you now

00:33:46.900 --> 00:33:50.200 align:middle line:84%
10 minutes to find
the person that you

00:33:50.200 --> 00:33:51.980 align:middle line:90%
want to do this work with.

00:33:51.980 --> 00:33:55.720 align:middle line:84%
The only caveat is you cannot
have been in the same p set two

00:33:55.720 --> 00:33:56.330 align:middle line:90%
group.

00:33:56.330 --> 00:33:59.680 align:middle line:84%
That's just because when
we do a lot of group work

00:33:59.680 --> 00:34:02.990 align:middle line:84%
and you have group grades,
I want make sure that you're

00:34:02.990 --> 00:34:05.370 align:middle line:90%
getting things from you.

00:34:05.370 --> 00:34:07.430 align:middle line:90%
And so, we rotate that around.

00:34:07.430 --> 00:34:11.540 align:middle line:84%
Start talking about what
potential types of things

00:34:11.540 --> 00:34:13.739 align:middle line:90%
you've seen or you've done.

00:34:13.739 --> 00:34:16.699 align:middle line:84%
This is a good time to
Google and mess around

00:34:16.699 --> 00:34:20.780 align:middle line:84%
on the internet in class with
your professor's blessing.

00:34:20.780 --> 00:34:23.517 align:middle line:84%
A couple of things
going on here that

00:34:23.517 --> 00:34:25.100 align:middle line:84%
just want to make
sure that we get to,

00:34:25.100 --> 00:34:28.699 align:middle line:90%
we're doing these big topics--

00:34:28.699 --> 00:34:32.699 align:middle line:84%
corpus studies, representation
intervals and stuff like that.

00:34:32.699 --> 00:34:35.810 align:middle line:84%
But then, along the way,
there's a bunch of little things

00:34:35.810 --> 00:34:39.110 align:middle line:84%
that will make your life
easier that eventually, you'll

00:34:39.110 --> 00:34:42.800 align:middle line:84%
need to know how to deal
with clefs and stuff.

00:34:42.800 --> 00:34:45.260 align:middle line:84%
Make sure, if you haven't
been reading through parts

00:34:45.260 --> 00:34:51.000 align:middle line:84%
of the Music21 user's guide,
that you continue to do that

00:34:51.000 --> 00:34:54.290 align:middle line:84%
and that this is a place where
you want to know something,

00:34:54.290 --> 00:34:57.720 align:middle line:84%
there is the user's guide
and the complete reference.

00:34:57.720 --> 00:35:00.590 align:middle line:84%
The complete reference doesn't
really distinguish between what

00:35:00.590 --> 00:35:02.970 align:middle line:90%
is important and what isn't.

00:35:02.970 --> 00:35:06.740 align:middle line:84%
Whereas, hopefully, we've done
a decent job explaining that.

00:35:06.740 --> 00:35:14.090 align:middle line:84%
You should have, by now, read
through up to chapter 6 here,

00:35:14.090 --> 00:35:15.260 align:middle line:90%
if you haven't.

00:35:15.260 --> 00:35:18.110 align:middle line:84%
Most MIT students
probably won't need

00:35:18.110 --> 00:35:21.680 align:middle line:84%
to go through chapter 5 on
recursion and lists of lists

00:35:21.680 --> 00:35:23.600 align:middle line:90%
if you're in this.

00:35:23.600 --> 00:35:25.670 align:middle line:84%
We've skipped
chords and something

00:35:25.670 --> 00:35:28.010 align:middle line:90%
called Chordify for a bit.

00:35:28.010 --> 00:35:29.930 align:middle line:90%
I think you can--

00:35:29.930 --> 00:35:32.330 align:middle line:90%
well, we'll get to that later.

00:35:32.330 --> 00:35:38.170 align:middle line:84%
But definitely start reading
through the Music21 object

00:35:38.170 --> 00:35:38.670 align:middle line:90%
thing.

00:35:38.670 --> 00:35:41.790 align:middle line:90%
What is a Music21 object?

00:35:41.790 --> 00:35:44.720 align:middle line:84%
You'll see durations
are not Music21 objects.

00:35:44.720 --> 00:35:49.730 align:middle line:84%
Not everything that's
in Music21 is one.

00:35:49.730 --> 00:35:51.770 align:middle line:84%
Basically, the
easiest definition

00:35:51.770 --> 00:35:55.500 align:middle line:84%
is a Music21 object is something
that can go into a stream.

00:35:55.500 --> 00:35:57.570 align:middle line:90%
It knows how to position itself.

00:35:57.570 --> 00:36:02.430 align:middle line:84%
It has a duration and
some other things.

00:36:02.430 --> 00:36:05.310 align:middle line:84%
We want to go through
this at some point,

00:36:05.310 --> 00:36:09.450 align:middle line:84%
just that when I'm
giving an assignment,

00:36:09.450 --> 00:36:12.330 align:middle line:84%
everything's unlocked
here, how you can give.

00:36:12.330 --> 00:36:16.140 align:middle line:84%
Who has worked with
JavaScript DOM manipulation,

00:36:16.140 --> 00:36:17.500 align:middle line:90%
like get elements by clef?

00:36:17.500 --> 00:36:19.680 align:middle line:84%
So quite a number
of people have.

00:36:19.680 --> 00:36:23.520 align:middle line:84%
Tried to make Music21 to
be a lot like the version

00:36:23.520 --> 00:36:29.580 align:middle line:84%
of JavaScript that was around at
the time in 20 whenever it was,

00:36:29.580 --> 00:36:31.530 align:middle line:90%
2006, 2007.

00:36:31.530 --> 00:36:34.530 align:middle line:84%
There's things like
getElementById,

00:36:34.530 --> 00:36:36.460 align:middle line:90%
get ElementByGroup.

00:36:36.460 --> 00:36:41.760 align:middle line:84%
Group is equivalent in
Music21 to JavaScript

00:36:41.760 --> 00:36:45.750 align:middle line:84%
class, the class of multiple
things, the dot selector.

00:36:45.750 --> 00:36:52.300 align:middle line:84%
Multiple things can be in
the same group and so on.

00:36:52.300 --> 00:36:55.050 align:middle line:84%
And then, there's a
nice little discussion

00:36:55.050 --> 00:36:59.760 align:middle line:84%
of the thing that will
probably drive you baffled

00:36:59.760 --> 00:37:02.400 align:middle line:84%
at some point, the
active site, which

00:37:02.400 --> 00:37:04.260 align:middle line:90%
is telling you which stream is.

00:37:04.260 --> 00:37:07.470 align:middle line:84%
We still haven't
figured out who,

00:37:07.470 --> 00:37:09.435 align:middle line:84%
that one bug that
we saw in class,

00:37:09.435 --> 00:37:10.810 align:middle line:84%
with the active
site being wrong,

00:37:10.810 --> 00:37:13.800 align:middle line:84%
or the get context
by clef being wrong.

00:37:13.800 --> 00:37:18.360 align:middle line:84%
This chapter just goes
through the basic things.

00:37:18.360 --> 00:37:22.350 align:middle line:84%
It will tell you how to sort
objects, which will sometimes

00:37:22.350 --> 00:37:25.770 align:middle line:84%
be useful, how to move two
things at the same place

00:37:25.770 --> 00:37:28.590 align:middle line:90%
and what sorting is.

00:37:28.590 --> 00:37:33.660 align:middle line:84%
The next chapter
has a little bit

00:37:33.660 --> 00:37:35.950 align:middle line:84%
of the details on
how things work,

00:37:35.950 --> 00:37:38.520 align:middle line:84%
how you can transpose
a note, and how

00:37:38.520 --> 00:37:41.460 align:middle line:84%
you can get back from
the transposed note

00:37:41.460 --> 00:37:43.920 align:middle line:84%
to its original note, and
so on, except you're not--

00:37:43.920 --> 00:37:46.600 align:middle line:84%
yeah, I think transpose
is about to be unlocked

00:37:46.600 --> 00:37:50.490 align:middle line:84%
for you, because you've
just done all of this work

00:37:50.490 --> 00:37:53.290 align:middle line:84%
and a bunch of
other little things.

00:37:53.290 --> 00:37:56.420 align:middle line:84%
But that's kind of a
little bit boring one.

00:37:56.420 --> 00:37:57.420 align:middle line:90%
Read through that.

00:37:57.420 --> 00:38:01.010 align:middle line:84%
Read through the time signatures
and beats and the keys

00:38:01.010 --> 00:38:02.550 align:middle line:90%
and key signatures.

00:38:02.550 --> 00:38:06.560 align:middle line:84%
This last one lets you do
your first little algorithmic

00:38:06.560 --> 00:38:13.200 align:middle line:84%
composition exercise
toward the very end.

00:38:13.200 --> 00:38:15.070 align:middle line:90%
Sorry, scrolling fast.

00:38:15.070 --> 00:38:18.890 align:middle line:90%


00:38:18.890 --> 00:38:23.190 align:middle line:84%
Here we go, where we can
create a little melody,

00:38:23.190 --> 00:38:28.460 align:middle line:84%
something like this, and
automatically change it

00:38:28.460 --> 00:38:30.860 align:middle line:90%
and have--

00:38:30.860 --> 00:38:34.165 align:middle line:84%
I don't know why
sometimes this goes--

00:38:34.165 --> 00:38:34.790 align:middle line:90%
[MUSIC PLAYING]

00:38:34.790 --> 00:38:36.920 align:middle line:84%
--have a piece of music
that I remember having

00:38:36.920 --> 00:38:38.755 align:middle line:90%
to play a lot in junior high.

00:38:38.755 --> 00:38:44.700 align:middle line:90%


00:38:44.700 --> 00:38:45.200 align:middle line:90%
[MUSIC ENDS]

00:38:45.200 --> 00:38:49.130 align:middle line:84%
It's nice to make little
algorithmic pieces before we

00:38:49.130 --> 00:38:53.210 align:middle line:84%
write our first true algorithmic
composition, for which

00:38:53.210 --> 00:38:56.088 align:middle line:90%
will be problem set eight.

00:38:56.088 --> 00:38:58.130 align:middle line:84%
Those are some of the
things that you've probably

00:38:58.130 --> 00:38:59.490 align:middle line:90%
been looking at.

00:38:59.490 --> 00:39:02.970 align:middle line:84%
Also, optionally, you might
want to go through clefs,

00:39:02.970 --> 00:39:04.540 align:middle line:90%
articulations and ornaments.

00:39:04.540 --> 00:39:06.590 align:middle line:84%
We'll do a little
bit of that now.

00:39:06.590 --> 00:39:11.940 align:middle line:84%
We're not going to get time to
get to intervals right now OK,

00:39:11.940 --> 00:39:14.990 align:middle line:90%
so let's play with a little bit.

00:39:14.990 --> 00:39:17.340 align:middle line:84%
If you have a second and
you have your laptop out

00:39:17.340 --> 00:39:20.420 align:middle line:84%
and if you have Jupyter
able to be got up-- sorry

00:39:20.420 --> 00:39:25.640 align:middle line:84%
I should have said that five
minutes ago, like always.

00:39:25.640 --> 00:39:27.950 align:middle line:84%
Like the way the
conductor says, I

00:39:27.950 --> 00:39:30.650 align:middle line:84%
want you to play a little
bit louder and make

00:39:30.650 --> 00:39:34.460 align:middle line:84%
sure you basically separate
all the notes of 32 measures

00:39:34.460 --> 00:39:36.086 align:middle line:90%
after A.

00:39:36.086 --> 00:39:40.350 align:middle line:84%
The worst order,
sorry about that.

00:39:40.350 --> 00:39:43.285 align:middle line:84%
That's just me vamping while
we give this a chance to--

00:39:43.285 --> 00:39:45.980 align:middle line:90%


00:39:45.980 --> 00:39:50.970 align:middle line:84%
who cannot see a Jupyter
Notebook that it's on?

00:39:50.970 --> 00:39:52.330 align:middle line:90%
Suppose you can all see mine.

00:39:52.330 --> 00:39:55.180 align:middle line:84%
So given the time,
with 10 minutes,

00:39:55.180 --> 00:40:03.900 align:middle line:84%
let's do a little bit
of more work on things.

00:40:03.900 --> 00:40:07.060 align:middle line:84%
I'm going to import corpus,
stream, note, meter.

00:40:07.060 --> 00:40:13.350 align:middle line:84%
And we're going to look at
a couple other little things

00:40:13.350 --> 00:40:17.370 align:middle line:84%
in a piece by Joseph
Haydn, so corpus parse.

00:40:17.370 --> 00:40:23.380 align:middle line:84%
I'm going to assign it to Haydn,
Haydn "Opus One," number one,

00:40:23.380 --> 00:40:26.580 align:middle line:90%
movement one.

00:40:26.580 --> 00:40:29.580 align:middle line:84%
That thing gives everybody
a chance to do it.

00:40:29.580 --> 00:40:32.600 align:middle line:84%
You can show it
when you're ready.

00:40:32.600 --> 00:40:41.280 align:middle line:90%


00:40:41.280 --> 00:40:44.790 align:middle line:84%
This is the first string
quartet that Haydn ever

00:40:44.790 --> 00:40:49.680 align:middle line:84%
published pretty young,
even though he was mostly

00:40:49.680 --> 00:40:54.960 align:middle line:84%
an old man, thought of
as a old man composer.

00:40:54.960 --> 00:41:00.120 align:middle line:84%
Start with our close listening
for even just a few seconds,

00:41:00.120 --> 00:41:04.050 align:middle line:84%
until I grabbed the
recording of this.

00:41:04.050 --> 00:41:07.656 align:middle line:84%
What's interesting about
the opening to anybody?

00:41:07.656 --> 00:41:10.930 align:middle line:90%


00:41:10.930 --> 00:41:11.430 align:middle line:90%
John?

00:41:11.430 --> 00:41:12.780 align:middle line:90%
AUDIENCE: It's in unison.

00:41:12.780 --> 00:41:14.822 align:middle line:84%
MICHAEL SCOTT ASATO
CUTHBERT: It's all in unison.

00:41:14.822 --> 00:41:20.612 align:middle line:90%
[JOSEPH HAYDN - "OPUS ONE"]

00:41:20.612 --> 00:41:22.070 align:middle line:84%
Do we hear that
it's all in unison?

00:41:22.070 --> 00:41:37.235 align:middle line:90%


00:41:37.235 --> 00:41:38.610 align:middle line:84%
I didn't give you
the second page

00:41:38.610 --> 00:41:40.240 align:middle line:84%
because I did it
in the notebook.

00:41:40.240 --> 00:41:43.210 align:middle line:84%
Just remember, you
can always show,

00:41:43.210 --> 00:41:51.780 align:middle line:84%
haydn.show(musicxml.pdf) to
get it or just to get the whole

00:41:51.780 --> 00:41:52.540 align:middle line:90%
thing up.

00:41:52.540 --> 00:41:55.360 align:middle line:84%
OK, so it's all in
unison at the beginning.

00:41:55.360 --> 00:41:57.870 align:middle line:90%


00:41:57.870 --> 00:42:00.600 align:middle line:84%
We're not going to
do another thing

00:42:00.600 --> 00:42:03.450 align:middle line:84%
like we did with trying
to figure out where

00:42:03.450 --> 00:42:06.340 align:middle line:90%
are the notes outside the key.

00:42:06.340 --> 00:42:10.680 align:middle line:84%
But go ahead and tell
me, how many notes

00:42:10.680 --> 00:42:13.080 align:middle line:90%
are there in this piece?

00:42:13.080 --> 00:42:15.510 align:middle line:84%
So when you've got
it, I'm not going

00:42:15.510 --> 00:42:17.650 align:middle line:84%
to call on the first
person to shout out.

00:42:17.650 --> 00:42:24.240 align:middle line:84%
But let's just be sure we can
still do something like that.

00:42:24.240 --> 00:42:26.842 align:middle line:84%
What is the question that
we're trying to do, somebody?

00:42:26.842 --> 00:42:28.300 align:middle line:84%
AUDIENCE: How many
notes are there?

00:42:28.300 --> 00:42:29.340 align:middle line:84%
MICHAEL SCOTT ASATO CUTHBERT:
How many notes are there

00:42:29.340 --> 00:42:30.035 align:middle line:90%
in this piece?

00:42:30.035 --> 00:42:35.370 align:middle line:90%


00:42:35.370 --> 00:42:41.010 align:middle line:84%
who hasn't been
called on very much?

00:42:41.010 --> 00:42:42.400 align:middle line:90%
You haven't been called on.

00:42:42.400 --> 00:42:45.400 align:middle line:90%
Usually, I pick on you too much.

00:42:45.400 --> 00:42:47.710 align:middle line:90%
What did you do on your thing?

00:42:47.710 --> 00:42:51.280 align:middle line:84%
I assume you started
with haydn.something.

00:42:51.280 --> 00:42:52.940 align:middle line:84%
AUDIENCE: Yeah, well,
I just did a for.

00:42:52.940 --> 00:42:54.773 align:middle line:84%
MICHAEL SCOTT ASATO
CUTHBERT: For, OK, good.

00:42:54.773 --> 00:42:58.190 align:middle line:84%
AUDIENCE: I did for n in haydn
and then, index note.note

00:42:58.190 --> 00:42:59.153 align:middle line:90%
and I counted.

00:42:59.153 --> 00:43:00.820 align:middle line:84%
MICHAEL SCOTT ASATO
CUTHBERT: note.note.

00:43:00.820 --> 00:43:02.320 align:middle line:84%
AUDIENCE: Actually,
counter as well.

00:43:02.320 --> 00:43:04.480 align:middle line:84%
MICHAEL SCOTT ASATO
CUTHBERT: Counter, good.

00:43:04.480 --> 00:43:10.360 align:middle line:84%
i equals 0, right? i plus
equals 1 and then i, good.

00:43:10.360 --> 00:43:15.490 align:middle line:84%
We use-- what kind of
iteration does this do?

00:43:15.490 --> 00:43:16.240 align:middle line:90%
AUDIENCE: Recurse.

00:43:16.240 --> 00:43:19.561 align:middle line:84%
MICHAEL SCOTT ASATO
CUTHBERT: Recurse, good.

00:43:19.561 --> 00:43:21.530 align:middle line:90%
So somebody get that number?

00:43:21.530 --> 00:43:22.190 align:middle line:90%
That's good.

00:43:22.190 --> 00:43:25.420 align:middle line:84%
I saw a lot of fors
in the middle there.

00:43:25.420 --> 00:43:27.632 align:middle line:84%
What's another way
we could do this?

00:43:27.632 --> 00:43:29.090 align:middle line:84%
Does somebody have
a different way?

00:43:29.090 --> 00:43:30.640 align:middle line:90%
Yeah?

00:43:30.640 --> 00:43:32.994 align:middle line:84%
AUDIENCE:
haydn.recurse.getElements.

00:43:32.994 --> 00:43:34.911 align:middle line:84%
MICHAEL SCOTT ASATO
CUTHBERT: haydn.recurse.ge

00:43:34.911 --> 00:43:46.310 align:middle line:84%
tElementsByClass('note.Note')
And then?

00:43:46.310 --> 00:43:47.100 align:middle line:90%
AUDIENCE: Hold on.

00:43:47.100 --> 00:43:47.630 align:middle line:90%
Oh.

00:43:47.630 --> 00:43:49.620 align:middle line:84%
MICHAEL SCOTT ASATO
CUTHBERT: Like, yeah.

00:43:49.620 --> 00:43:51.980 align:middle line:84%
It's when you forget to
put that at the beginning

00:43:51.980 --> 00:43:54.630 align:middle line:84%
that you really wish Python were
more like JavaScript or Java,

00:43:54.630 --> 00:43:57.050 align:middle line:84%
where you could just do
dot length at the end.

00:43:57.050 --> 00:43:57.840 align:middle line:90%
Good.

00:43:57.840 --> 00:44:00.350 align:middle line:84%
Any other ways
that people did it?

00:44:00.350 --> 00:44:03.690 align:middle line:90%
OK, enough note counting.

00:44:03.690 --> 00:44:10.490 align:middle line:84%
By the way, you hope
that this should--

00:44:10.490 --> 00:44:17.510 align:middle line:84%
len-- also get something
pretty similar, so flattening.

00:44:17.510 --> 00:44:20.730 align:middle line:84%
It doesn't matter which order
you're iterating through.

00:44:20.730 --> 00:44:23.360 align:middle line:84%
You're still going to hit
every single thing, right?

00:44:23.360 --> 00:44:25.160 align:middle line:90%
Good.

00:44:25.160 --> 00:44:28.950 align:middle line:84%
OK so, let's grab
the viola part.

00:44:28.950 --> 00:44:32.180 align:middle line:84%
I'll call it via equals
and take a second

00:44:32.180 --> 00:44:35.365 align:middle line:84%
to see if you can
remember how to do that.

00:44:35.365 --> 00:44:38.870 align:middle line:90%


00:44:38.870 --> 00:44:40.470 align:middle line:84%
What the question
is going to be,

00:44:40.470 --> 00:44:43.400 align:middle line:84%
this will be one of the
last-- second to last thing.

00:44:43.400 --> 00:44:44.630 align:middle line:90%
Get the viola part.

00:44:44.630 --> 00:44:48.450 align:middle line:84%
Let's change its
clef to treble clef,

00:44:48.450 --> 00:44:51.380 align:middle line:84%
because it will be a
little bit harder for us

00:44:51.380 --> 00:44:54.080 align:middle line:90%
to read who are not violists.

00:44:54.080 --> 00:44:56.933 align:middle line:90%
[STUDENTS DISCUSS]

00:44:56.933 --> 00:44:59.750 align:middle line:90%


00:44:59.750 --> 00:45:04.472 align:middle line:84%
You might need to, from
Music21, import clef.

00:45:04.472 --> 00:45:05.180 align:middle line:90%
I can't remember.

00:45:05.180 --> 00:45:18.110 align:middle line:90%


00:45:18.110 --> 00:45:19.970 align:middle line:84%
Has everyone gotten--
raise your hand

00:45:19.970 --> 00:45:21.750 align:middle line:84%
if you've gotten
the viola part out,

00:45:21.750 --> 00:45:23.100 align:middle line:90%
even if you not get the clef.

00:45:23.100 --> 00:45:24.560 align:middle line:90%
Good.

00:45:24.560 --> 00:45:27.830 align:middle line:84%
I'm going to put in
what I did to get that,

00:45:27.830 --> 00:45:29.165 align:middle line:90%
haydn.parts['viola'].

00:45:29.165 --> 00:45:31.895 align:middle line:90%


00:45:31.895 --> 00:45:33.800 align:middle line:90%
Notice, it's not case sensitive.

00:45:33.800 --> 00:45:37.760 align:middle line:84%
Let me just make sure
I got the right one.

00:45:37.760 --> 00:45:41.780 align:middle line:84%
You could also have done
index one, two, three, two.

00:45:41.780 --> 00:45:42.280 align:middle line:90%
Right?

00:45:42.280 --> 00:45:43.740 align:middle line:90%
Good.

00:45:43.740 --> 00:45:46.290 align:middle line:90%
Keep going on that.

00:45:46.290 --> 00:45:51.540 align:middle line:84%
I'm going to go through a
couple of ways I did it, viola--

00:45:51.540 --> 00:45:54.750 align:middle line:84%
we can call it alto
clef, hopefully,

00:45:54.750 --> 00:45:58.680 align:middle line:84%
it's that-- equals
what? viola clef.

00:45:58.680 --> 00:46:01.440 align:middle line:90%
Clef.first.

00:46:01.440 --> 00:46:06.180 align:middle line:84%
Hopefully, that's right,
or viola.recurse.ge

00:46:06.180 --> 00:46:08.370 align:middle line:90%
tElementsByClass--

00:46:08.370 --> 00:46:12.180 align:middle line:90%
clef-- whatever.

00:46:12.180 --> 00:46:13.060 align:middle line:90%
Do this one.

00:46:13.060 --> 00:46:16.150 align:middle line:84%
Here's one of the ways
that you could do that.

00:46:16.150 --> 00:46:21.850 align:middle line:84%
I'll just give the way that's
probably not the best way,

00:46:21.850 --> 00:46:25.630 align:middle line:84%
but looking at the time, I'll
explain the best way later.

00:46:25.630 --> 00:46:27.708 align:middle line:90%
We can put it as a G2 clef.

00:46:27.708 --> 00:46:28.750 align:middle line:90%
We're going to change it.

00:46:28.750 --> 00:46:32.322 align:middle line:90%


00:46:32.322 --> 00:46:36.120 align:middle line:84%
The piece should be beginning
with a bunch of B flats

00:46:36.120 --> 00:46:37.480 align:middle line:90%
and it still is.

00:46:37.480 --> 00:46:39.700 align:middle line:90%
So that's one way to do it.

00:46:39.700 --> 00:46:42.640 align:middle line:84%
I want to just point
out two things here.

00:46:42.640 --> 00:46:46.508 align:middle line:84%
Notice, we did not change the
stem directions of anything,

00:46:46.508 --> 00:46:47.800 align:middle line:90%
so it looks a little bit weird.

00:46:47.800 --> 00:46:51.030 align:middle line:84%
It looks very weird when you go
from treble clef to bass clef

00:46:51.030 --> 00:46:52.150 align:middle line:90%
or something like that.

00:46:52.150 --> 00:46:58.480 align:middle line:84%
The other thing is, what
do you call it, altoc?

00:46:58.480 --> 00:47:02.190 align:middle line:84%
Now, we have a particular
subclass of clefs

00:47:02.190 --> 00:47:05.670 align:middle line:84%
so that clefs are in
a taxonomic-- or alto

00:47:05.670 --> 00:47:10.080 align:middle line:84%
clef is in a taxonomy or
meronymy with a generic clef.

00:47:10.080 --> 00:47:11.160 align:middle line:90%
AUDIENCE: Taxonomy?

00:47:11.160 --> 00:47:12.940 align:middle line:84%
MICHAEL SCOTT ASATO CUTHBERT:
Alto clef is another clef.

00:47:12.940 --> 00:47:13.440 align:middle line:90%
Great.

00:47:13.440 --> 00:47:15.513 align:middle line:90%
So we might be having a problem.

00:47:15.513 --> 00:47:18.180 align:middle line:84%
We might need to see if there's
a way we can actually replace it

00:47:18.180 --> 00:47:19.120 align:middle line:90%
with another clef.

00:47:19.120 --> 00:47:19.960 align:middle line:90%
Thank you.

00:47:19.960 --> 00:47:21.280 align:middle line:90%
I did broke my promise.

00:47:21.280 --> 00:47:23.820 align:middle line:90%
You're 20 seconds late.

00:47:23.820 --> 00:47:26.480 align:middle line:90%
Thanks, great class.

00:47:26.480 --> 00:47:37.000 align:middle line:90%