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The Physics Of Dissonance
The Physics Of Dissonance
minutephysics
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27:58 · Jul 18, 2025
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According
to
physics,
this
is
the
most
dissonant
chord.
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0:02
According to physics, this is the most dissonant chord.
0:06
I mean, look at this chart.
0:07
It's a graph showing the dissonance of all possible three note chords.
0:10
Peaks correspond to dissonant sounding combinations.
0:13
And the deep wells correspond to consonant combinations where the notes are in harmony
0:17
with each other.
0:18
And it seems to work shockingly well.
0:19
The different deep wells each correspond to fundamental chords in Western music theory. major,
0:25
minor, their inversions, suspended chords, and so on.
0:30
And the peaks are dissonant chords made from horribly out of tune notes.
0:35
Except with just a slight tweak to the sound,
0:37
those same fundamental chords suddenly sound dissonant.
0:41
And now they're at the tops of peaks instead of the bottoms of deep
0:43
wells.
0:44
And here's an octave.
0:46
Supposedly the most consonant and fundamental interval in western music.
0:49
And it sounds pretty badly out of tune.
0:51
That's um unexpected.
0:53
The fact that a graph like this exists was a big surprise to me.
0:56
I want to explain how it works, the amazing things it does,
0:59
and where it falls short.
1:00
Also, why the same chord can sound either dissonant
1:04
or harmonious with just a few small changes.
1:08
What a particular combination of musical notes makes you feel,
1:11
which combinations seem settled versus the ones
1:14
that have tension and discomfort seems like it should be mostly qualitative depending on
1:18
a person,
1:18
their culture, psychology, musical exposure, etc.
1:21
And there's undeniably a ton of psychology
1:23
and environment and culture in our experience of music.
1:25
But there's also a fair bit of quantitative analysis we can do.
1:28
Sounds start off as physical pressure waves in the air, after all,
1:31
and are then transmitted
1:32
as vibrations through flesh
1:33
and bone before entering the realm of neuroscience,
1:36
psychology, and beyond.
1:37
This video is about the physics of dissonance,
1:39
the role physics plays in why certain notes sound dissonant when heard together,
1:43
and some sound harmonious,
1:44
and how those differences led to different music in different cultures.
1:47
There are many, many different ways to define dissonance and harmony,
1:50
most of which we're not going to get into here.
1:52
We'll focus on the physical and physiological aspects of dissonance,
1:55
the slightly more quantitative parts.
1:57
This video will have four main parts.
1:59
The dissonances between sine waves, the dissonances between notes, how dissonance leads to scales,
2:04
and how dissonance leads to chords.
2:06
Also, this video contains lots of audio examples.
2:09
If possible, I recommend listening with headphones or decent speakers.
2:13
Part one, the dissonance of pure sine waves.
2:17
The stereotypical way to talk about the sound of a musical note is to
2:20
say that it has a fundamental frequency
2:22
that determines the pitch of the sound
2:23
and which is almost always the lowest frequency sine wave involved.
2:27
And then there are overtones
2:28
or higher frequency sine waves
2:29
which determine the nature
2:30
or character of the sound.
2:32
It's tambber.
2:33
So the explanation goes a violin
2:35
and piano can play a note with the same pitch
2:36
but sound like a violin
2:38
or a piano.
2:41
And while it's certainly true that overtones determine the tambber of a sound,
2:45
it's not the only thing they do.
2:46
They can also determine what musical scales
2:48
and chords the note should even belong to.
2:51
First though, we should remember
2:52
that this overtones interpretation is only possible
2:54
because sound waves,
2:55
at least in air, can be split apart into fundamental building blocks,
2:59
typically sine waves.
3:00
Like this sound is made up of multiple sine waves playing at slightly different
3:05
frequencies and different amplitudes.
3:06
Add the sine waves together and get the final sound.
3:09
Start with a sound
3:10
and you can split it apart through clever math into the different frequency sine
3:13
waves that make it up.
3:14
My friend Grant of Three Blue
3:15
and Brown has covered this very well in his videos on Forier transforms.
3:18
Because sounds can be broken apart into their component sine waves,
3:21
we'll first talk about the dissonance between individual sine waves
3:25
and then move on to dissonances between the combinations of sine waves
3:28
that make up more complex sounds,
3:29
which is what leads to tuning and scales and harmony.
3:32
So, how are pure sine waves dissonant?
3:35
If you play a constant sinewave tone
3:37
and then add on another
3:38
that starts at the same pitch
3:39
but gradually rises in frequency,
3:41
most people hear the sound start off as a single pitch with no dissonance,
3:45
then go through an increase in dissonance before it calms down
3:52
and separates out into two different pitches. there's zero dissonance
4:06
when the frequencies are the same.
4:07
Then dissonance rises sharply and gradually falls back down,
4:10
but not all the way to zero as the pitches get farther apart.
4:14
The shape of this graph is in fact borne out by controlled experiments on
4:18
real people.
4:18
The point is there's a kind of zone of discomfort
4:21
when two sine waves are close to each other in frequency
4:23
but not close enough to sound the same.
4:25
And the graph is actually two-sided.
4:27
If the pitch of the second note falls below that of the first,
4:29
the same thing also happens.
4:35
So why are pure signs dissonant?
4:37
The physics here is twofold.
4:39
First, there's the phenomenon called beating where two sine waves of almost the same
4:43
frequency alternate between constructively interfering
4:45
then destructively interfering etc.
4:47
which results in a kind of wo wo wo modulation of their amplitudes.
4:50
The closer the frequencies, the longer it takes them to get out of phase,
4:53
then back in phase, etc.
4:55
So, the longer the beats last, the farther apart the frequencies,
4:58
the faster they get in and out of phase,
4:59
and the faster the beating happens.
5:01
Eventually, the beating happens
5:02
so fast that we stop hearing it
5:04
as a wo wo wo type sound
5:05
and more as a general roughness.
5:08
Around this same point, another phenomenon starts to get involved,
5:11
the imperfect resolution of the human ear.
5:13
I don't want to get into the details
5:15
and there are still some details
5:16
that aren't entirely clear even to science.
5:18
But because of the geometry of the coccia
5:19
and the physics of the fluid
5:20
and hairs within it,
5:21
an external sound of a single frequency will stimulate not just the auditory nerve
5:25
fibers that correspond to
5:26
that frequency,
5:26
but also fibers for slightly higher and lower frequencies.
5:29
It's kind of like our ears blur or smear out the frequencies a little.
5:32
Our ears need glasses.
5:34
So if two frequencies are too close to each other,
5:36
the ear can't fully and faithfully distinguish them as two different sounds.
5:39
Instead, we hear the combination
5:40
as a single but dissonant note. until the frequencies get far enough apart
5:45
that we're able to hear them
5:46
as two separate sounds.
5:49
One really cool way to experience these physical effects is to wear headphones
5:52
and play one pitch in one ear
5:53
and a slightly higher pitch in the other ear.
5:56
Put on headphones and try it.
5:59
For me at least,
6:00
I hear two distinct but nearby pitches when I listen with headphones.
6:04
While if I take the headphones off or play both pitches in both ears,
6:07
which I'm doing now, it sounds like one single dissonant pitch.
6:13
The point is that taken together,
6:15
the physics of beating
6:16
and the physics of the ear explain the zone of discomfort
6:19
when two sine waves are close in frequency
6:21
but not close enough to feel like the same pitch
6:22
and why when they're far away from each other,
6:24
they just sound like two separate pitches.
6:26
There have been various attempts to quantify exactly how wide
6:29
and tall this zone of discomfort is,
6:31
but there doesn't appear to be anything fully agreed upon.
6:33
So, when looking at these graphs,
6:34
don't dwell too much on the exact dimensions of the zone of discomfort.
6:37
The overall shape is what's more relevant.
6:39
And the overall simplicity of the shape of this dissonance graph might be surprising
6:43
to you.
6:43
At least it was to me since there's nothing
6:45
that singles out any musically relevant pitches.
6:47
No octaves, fifths, major thirds,
6:49
or literally anything at all that we think of as musical.
6:52
It just says sine waves either want to be exactly the same,
6:55
or they want some personal space.
6:57
Musical harmony, it turns out, requires more than pure sine waves.
7:01
Harmony comes from overtones.
7:03
Actually, that last bit isn't entirely true
7:05
because there is another type of beating
7:07
that happens between sine waves whose frequencies are slightly out of tune with small
7:10
integer multiples or fractions of each other like twice the frequency,
7:13
three halves, and so on.
7:14
It's called secondary beating.
7:16
And the wo wo wo is only a partial reduction in volume
7:18
or just a phase shift rather than a change in volume.
7:21
And no one I found seems to talk about the secondary beating
7:23
as relevant for tuning.
7:24
And I find it much harder to reliably hear the wo wo wo sound
7:27
depending on what speakers I'm listening on
7:28
and whether I'm using headphones
7:30
and so on.
7:30
My best guess is
7:31
that maybe we should make a very very small adjustment to the single sine
7:34
wave dissonance graph,
7:35
but we're going to ignore it for now
7:36
and just use the simple graph for the dissonance of pure sine waves.
7:39
It's going to get complicated soon enough, don't worry.
7:42
Part two, dissonance in notes with overtones.
7:47
In order to have strong dissonance
7:48
or consonants like we showed in the graph at the beginning of the video,
7:52
solitary sine waves won't do.
7:54
You need to use sounds made up of combinations of sine waves.
7:57
Lucky for us, in our universe,
7:58
the different physics and shapes of sound producing objects result in different combinations of
8:02
sine waves.
8:02
The overtones of a vibrating string look and sound like this.
8:06
Overtones of pipes look and sound like this or this.
8:10
Circular drums like this, bars like this, bells like this,
8:15
a random discrete series of overtones like this, and white noise like this.
8:20
As a side note, you'll sometimes hear people refer to overtones as harmonics,
8:24
but that name is usually reserved just for the overtones
8:26
that follow the specific pattern of frequencies of a vibrating string
8:29
or fully closed or fully open pipe.
8:31
The physics of a string under tension means it vibrates with overtones whose frequencies
8:35
are integer multiples of the fundamental frequency 1 2 3 4 etc.
8:39
For various historical reasons, this particular pattern of overtones is called harmonics,
8:44
while the overtones of other instruments don't get special names.
8:46
All these overtones mean that when listening to a pair of real world notes,
8:50
we experience not just the dissonance between the two fundamental sine waves of each
8:53
note,
8:54
but also between the fundamental sine wave of one note
8:56
and all the overtones of the other
8:57
and vice versa,
8:58
as well as the dissonances between all the overtones.
9:01
Like before, we can play a constant pitch note,
9:03
but this time with the overtones of a vibrating string,
9:05
and then add another note that starts at the same pitch, but gradually rises.
9:09
You'll probably hear the notes alternate between sounding dissonant and then in tune.
9:31
Just to contrast, let's go back to the dissonance of pure sine waves.
9:42
This dissonance graph is built by simply adding up the various sine wave dissonance
9:46
graphs for each possible pair of fundamental
9:48
and overtone frequencies that are in the two notes with the positions of their
9:51
zones of dissonance adjusted according to the frequencies in question
9:54
and the heights adjusted according to the relative loudness of the overtones.
9:58
The dissonance graph reminds me of graphs of potential energy in physics.
10:01
Like when a ball wants to roll down a hill to be in the
10:03
minimum energy state or
10:05
when two hydrogen atoms are close together,
10:06
there's a point of minimum energy here where the hydrogen atoms want to form
10:09
a hydrogen molecule.
10:11
In a sense, it's their least dissonant position relative to each other.
10:14
Similarly, there's a sort of emotional pull towards two notes wanting to be in
10:17
the bottoms of the valleys of the dissonance graph.
10:19
These are places where the two notes sound in tune,
10:22
and they sound in tune precisely
10:23
because the combined dissonances of their fundamental frequencies
10:25
and all their overtones happens to be very low there.
10:28
The tops of the peaks corresponds to situations where the overtones of the two
10:31
notes line up so
10:32
that many of them are dissonant.
10:33
In particular, when the notes are very close to each other
10:36
or very close to the first overtone,
10:39
you get very big dissonance spikes
10:41
that are reminiscent of the dissonance graph for a pure sine wave.
10:44
The bottoms of the valleys correspond to situations where the overtones of the two
10:48
notes line up well enough
10:49
that very few pairs of them are dissonant with each other.
10:51
So, you get a low overall value for dissonance.
10:54
For example, this big valley right here corresponds to a place where the first
10:57
overtone of one sound exactly lines up with the fundamental frequency of the second.
11:01
And this one is where the second overtone of one sound lines up with
11:04
the first overtone of the other.
11:05
Here's where the second and third overtones are lining up really nicely.
11:08
The locations of the valleys are precisely determined by whatever ratios can be built
11:12
out of the overtone frequencies.
11:13
Like if you have an overtone with twice the fundamental frequency
11:16
and one at three times,
11:17
then the dissonance value they generate will be at three halves
11:20
or 1.5 times the fundamental frequency.
11:22
Here are all the valley bottoms played in sequence.
11:28
Part three, the relationship between dissonances and scales.
11:34
If these intune notes sound familiar to you,
11:37
it's because they're the fundamental intervals of Western music.
11:39
The octave, the fifth, the fourth, major 6th, the major 3rd, minor 3rd, etc.
11:44
So, are these musical intervals somehow pre-ordained from the fundamental fabric of our universe?
11:48
Not really.
11:49
These intervals sound in tune
11:51
because they are the intervals
11:52
that happen to sound the least dissonant
11:53
when using the overtones of a vibrating string
11:55
or pipe.
11:56
Sure, the physics of our universe does dictate what the overtones of a vibrating
11:59
string or pipe are.
12:00
And those do happen to be two fairly common
12:02
and simple ways of creating sound,
12:03
but they're not the only ones.
12:05
If we change to the overtones of say a bell,
12:08
then the dissonance graph changes
12:09
and the intervals important in western music sound dissonant
12:12
while there are new intune notes at the new valley bottoms.
12:15
Not our familiar intervals, but they're the ones that are in tune.
12:18
Now, if we play a perfect fifth,
12:20
which has a frequency ratio of 1.5,
12:23
it sounds more dissonant than this valley near it with a frequency ratio of
12:30
1.47.
12:30
The way the dissonance graph changes
12:32
when you change overtones illustrates part of why many bells
12:35
and drums don't sound quite
12:36
as melodic in Western music.
12:38
Their overtones don't match the overtones of the strings
12:40
and pipes on whose overtones western music is built.
12:43
I should also mention here
12:44
that the perfectly intune string
12:46
and pipe notes of the graphs are not in fact the exact notes we
12:49
use in western music anyway
12:51
because for various reasons some of
12:52
which I talk about in my video about the physics of piano tuning.
12:55
Modern music uses a series of equal spaced multiples of the fundamental frequency for
12:58
all of our notes called equal temperament
13:00
which closely approximates the most intune intervals according to the dissonance graph
13:04
but not perfectly.
13:06
And in fact, some of them result in dissonance peaks.
13:08
Like the major third in equal tempered tuning sits here at this peak rather
13:11
than the slightly lower pitched just inonation major third,
13:15
which is less dissonant, but introduces other problems when used in actual music.
13:19
If you start with just one overtone, then two, then three, and so on,
13:23
you can see how the graph of dissonance builds up
13:25
and where the most strongly in tune notes are.
13:28
First, it's just the root.
13:29
Then additional overtones add the zones of dissonance
13:32
that give you the octave.
13:33
then the fifth,
13:34
the fourth, the major 3rd and major 6th, minor 3rd,
13:37
subminor 3rd and tri-onee and minor 7th, etc.
13:40
You can use the buildup of intune notes to either study one of the
13:44
more important or fundamental intervals
13:46
or chords in a musical system,
13:48
or to build your own musical instrument and corresponding tuning system.
13:51
The first overtone you add will be the first intune note,
13:54
which is the equivalent of the octave.
13:56
Then once you add a second overtone,
13:57
you'll add two more intune notes. one at
13:59
that overtone and one where the first overtone of one note matches the second
14:02
overtone of the other
14:03
and so on.
14:04
The point is this,
14:05
the combinations of notes
14:06
that sound good together are due to whatever the overtones of the notes are,
14:09
not to some deep relationship between fundamental frequencies.
14:12
An A doesn't sound in tune with a D just
14:14
because the fundamental frequencies of the A
14:16
and D have a ratio of 3:2.
14:18
Those sine waves are far enough apart that they sound good together,
14:20
even if the frequencies shift around a bit.
14:22
If you don't believe me, I actually played that first A out of tune,
14:25
and you probably didn't even notice.
14:27
The notes A and D sound in tune
14:29
because when played on an instrument with overtones
14:31
that come from the harmonic series,
14:33
the overtones of the A
14:34
and D have less dissonance with each other
14:36
when the fundamental frequencies of A
14:37
and D are in a ratio of 3:2.
14:39
Here's the out of tune A.
14:40
A again, obviously out of tune due to its wo wo wo wobbling.
14:46
To show again how important the overtones are and which ones are important,
14:50
here are two pure sine waves played slightly out of tune from a perfect
14:53
fifth and then perfectly in tune.
14:58
Not that much of a difference.
14:59
Now the same pitches with the first overtone present.
15:02
Still doesn't sound that out of tune.
15:04
Now we add in the next overtone of a vibrating string.
15:07
And finally the out of tune perfect fifth actually sounds out of tune.
15:11
And correspondingly the in tune one sounds in tune.
15:15
But the perfect fourth doesn't yet sound in or out of tune.
15:19
Only when we add the next overtone does the fourth become well defined. to
15:26
belabor the point,
15:27
tuning comes from overtones.
15:30
So, how true is all of this?
15:33
This whole dissonance graph analysis is an explanatory theory developed over time by various
15:38
researchers.
15:39
It seems like a pretty decent explanation for why Western music works the way
15:42
it does,
15:42
though there are also other competing theories.
15:44
Maybe human brains naturally prefer notes that have frequency ratios that are small integers,
15:48
like 2:1 or 3:2.
15:50
Or maybe it's all just a coincidence.
15:51
But there are a few reasons I think the apparent usefulness of these dissonance
15:54
graphs is more than a coincidence.
15:57
For one, the zone of discomfort can help explain why two notes a half
16:00
step apart,
16:01
say an A and a B flat,
16:03
sound much more dissonant
16:04
when played in the same octave
16:05
as opposed to an A
16:06
and the B flat the next octave higher.
16:08
Their combined dissonance there is lower.
16:10
But to me, the real confirmation
16:12
that the physics and physiology represented in the dissonance graph is a major factor
16:16
in determining what notes sound in tune to us
16:18
and what musical scales
16:19
and intervals we use is what happens
16:21
when the instruments we use don't have overtones
16:23
that come from the harmonic series.
16:26
First off, did you know
16:27
that the higher notes on pianos are actually tuned slightly sharp
16:30
and the lower notes are tuned flat?
16:32
It's because piano strings are big
16:33
and stiff enough they don't behave perfectly like strings,
16:36
but also slightly like vibrating bars,
16:38
which shifts the overtones of the strings slightly upwards in pitch.
16:41
If you want the piano to sound in tune with itself,
16:43
you have to tune the higher notes up
16:45
so they match the stretched overtones of the middle notes.
16:47
And you have to tune the lower notes down
16:49
so their stretched overtones match the overtones of the middle notes.
16:52
The stretch is called a rails back curve
16:54
and is worse the shorter the strings,
16:55
which is one reason people like really big grand pianos.
16:59
As a second example,
17:00
you can more generally take our western musical system
17:02
and squeeze or stretch it
17:04
so all intervals are slightly flat
17:05
or sharp.
17:06
Instead of using the overtones of a vibrating string with the frequency multiples of
17:09
1 2 3 4,
17:11
etc., we can create a sound with overtones of frequency multiples 1 to the
17:14
0.95,
17:15
2 to the 0.95, 3 to the 0.95,
17:17
4 to the 0.95, etc.
17:19
This shifts the intune valleys slightly downwards
17:22
so that the most intune note isn't an octave up at double the frequency.
17:26
That's now a dissonance peak and sounds out of tune.
17:29
The intune octave is slightly flatter at 1.93 times the fundamental frequency
17:34
and sounds much more harmonious.
17:39
Similarly, the intune perfect fifth is no longer in tune at its normal position
17:43
of 1.5 times the fundamental frequency,
17:45
but is in tune at 1.47 times the fundamental.
17:52
Perhaps the best example of the explanatory power of dissonance graphs is non-western music.
17:57
For example, Indonesian gamalan music has many instruments in it
18:00
that use carefully shaped kettles,
18:02
gongs, and bars, which all have very non-string-like overtones in addition to singing
18:06
and other instruments with overtones
18:08
that more closely match those of a string
18:09
or pipe.
18:10
To oversimplify, if you make a dissonance curve comparing the sound from a pipe,
18:14
aka singing, with the sound from one of the kettallike instruments,
18:17
you end up with minimums
18:18
that almost perfectly match one of the main five note scales used in Gamalan
18:22
music.
18:23
And if you look at the dissonance between a sung note
18:25
and one of the bar instruments,
18:26
you end up with a dissonance graph whose valleys decently match one of the
18:30
non-uniform seven note scales used in Gammaan music.
18:33
Similarly, Thai classical music features instruments using bars
18:37
which when their overtones are combined with the sound from singing
18:39
or string overtones.
18:40
The dissonance graph looks very close to the seven note musical scale used in
18:44
the music.
18:46
Tuning comes from overtones.
18:49
You can also build all sorts of synthetic scales.
18:51
Like if you make a note with overtones
18:53
that are given by the prime numbers,
18:54
you end up with intune values at ratios
18:56
that can be built out of prime number fractions.
18:59
The point of all these examples is to show the usefulness of the dissonance
19:02
graph in explaining how
19:03
and why tuning comes from overtones.
19:06
Part four, dissonance in chords.
19:11
Okay, we are finally ready to explain the 3D graph from the beginning of
19:14
the video with all those peaks
19:15
and valleys.
19:16
At this point, you may have already guessed
19:18
that it's the dissonance graph for a chord made up of three notes.
19:21
We pick a fixed frequency for the root note
19:23
and then the x-axis represents the relative pitch of the second note above the
19:26
first and the y represents the relative pitch of the third note.
19:29
And we add up all the dissonances between all the combinations of different overtones
19:32
of all three notes with each other to get a 3D version of the
19:34
dissonance graph.
19:35
As before, peaks represent highly dissonant chord combinations
19:39
and the bottoms of valleys represent combinations
19:41
that sound more in tune.
19:42
This particular graph is for the overtones of a string
19:45
or pipe and all the little valleys correspond to particular chords in western music.
19:49
Here's the major chord and its inversions, minor chord and its inversions,
19:55
suspended and augmented chords, etc.
19:57
When viewed from above, you may notice the graph appears to have horizontal, vertical,
20:01
and diagonal lines.
20:02
These lines are long values that cut across the whole graph.
20:05
The vertical lines are for
20:06
when the x-axis note is nicely in tune with the root note,
20:09
like when the x-axis note is a fifth
20:11
or fourth or whatever above the root.
20:13
Viewed from this side, the 3D graph looks like the 2D version.
20:15
After all, the horizontal lines are the same thing,
20:18
but for the y-axis note relative to the root.
20:20
Here it's a fifth.
20:21
Here it's a fourth, etc.
20:22
And the diagonal lines represent
20:24
when the x and y-axis notes are in tune relative to each other.
20:27
So naturally, the most intune chords are places where all three sets of lines
20:30
intersect,
20:31
where all three notes are in tune with each other.
20:33
For overtones of a string,
20:34
the most intune chords are the major and minor chords, a few inversions,
20:38
and a few suspended style chords.
20:40
And it's in the gaps between these lines that we find the dissonance peaks,
20:43
the most dissonant chords.
20:45
The big dissonance peaks near the corner come from the two higher notes of
20:48
the chord and their harmonics being too close in pitch to the root note
20:51
and its harmonics and too close in pitch to each other.
20:54
So there's a sense in
20:54
which the most dissonant chord is one
20:56
that sounds like this.
20:58
This dissonance is essentially just the dissonance of any pair of sine waves
21:01
and doesn't change much with different overtones.
21:03
Like here it is with the overtones of a bar
21:06
and of a circular drum.
21:09
So, in one sense,
21:10
this chord is the most universally dissonant chord on any type of instrument for
21:14
any type of tuning.
21:15
But because of that, it's also not that interesting.
21:17
It's just the dissonance of pure sine waves.
21:19
The same thing roughly applies to these ridges of dissonance
21:22
that extend out along the y
21:23
and x axis and on either side of the x equals y line.
21:26
They're chords where two of the three notes are very close in pitch to
21:29
each other.
21:30
Kind of boring.
21:30
The more interesting dissonant chords are the ones
21:33
that spring up farther out from the origin.
21:35
They have dissonance due to overtones
21:36
and harmony and they sound about how you'd expect.
21:41
Gross.
21:42
In this particular version of the graph, up to eight overtones,
21:45
the most dissonant chord according to the graph is this one.
21:48
Kind of partway in between a minor chord major chord in its first inversion
21:52
and suspended second chord.
21:53
To me, it just sounds like one of these chords badly out of tune,
21:56
which I guess it is.
21:57
Close behind is this chord
21:59
or this other one over here
22:00
or this other one over there.
22:02
There are a lot
22:02
and they're actually all pretty similar in how dissonant they sound.
22:05
I think to me what's most notable in clicking randomly around the space of
22:08
all possible three note chords is
22:10
that most possible chords sound pretty dissonant
22:12
and at a pretty similar level of dissonance.
22:14
And because of that, when you do happen upon an island without dissonance,
22:19
one of the deep valley bottoms.
22:20
It's such a change
22:21
and such a relief
22:22
that it's not at all surprising
22:23
that these islands would become the basis for musical harmony.
22:26
Where the islands of harmony are depends on, you guessed it, the overtones.
22:30
Because here's the 3D dissonance graph for a drum
22:32
and here's the graph for the prime numbers.
22:34
They have different harmony and tuning.
22:38
In summary, it appears if this theory of dissonance is at least somewhat correct,
22:42
that whether or not we humans think two notes are in tune depends on
22:45
how well the overtones of those notes line up.
22:47
And since the overtones of notes is different for different types of sound sources,
22:51
strings and pipes and bars and bells and drums,
22:53
different musical cultures can end up coming up with different musical scales
22:56
and chords that best fit the overtones
22:58
and sounds of their instruments.
22:59
It makes sense that a sizable proportion of human music, including western music,
23:03
is based at least approximately upon the harmony generated by the harmonic series of
23:07
overtones because that's the overtone series for strings
23:10
and pipes,
23:10
which are two pretty common sources of musical sounds.
23:12
But it appears that plenty of other human music is based on other harmonies
23:16
that come from overtones of other types of instruments.
23:18
In practice, music and dissonance
23:20
and harmony are a lot more complicated than we've begun to touch on,
23:23
with physical, biological, psycho acoustic,
23:26
and cultural factors well beyond the scope of this video.
23:29
But I at least found my mind opened by the idea
23:31
that dissonance and consonants
23:32
and the feelings of being in tune are
23:34
so well explained by physics
23:35
and so heavily influenced by not just the fundamental tone of a note
23:39
but the overtones as well.
23:41
This way of thinking about consonants has its limits.
23:43
Like it doesn't necessarily give a lot of insight into why say certain chord
23:47
progressions work the way they do.
23:48
But to me it's an interesting
23:49
and useful way to think about the notes
23:51
that make up chords
23:52
and harmony.
23:52
To remember that a note is more than its fundamental sine wave in very
23:56
real and powerful ways.
24:03
My friend Otish has an interactive article on their website where you can play
24:06
around with these ideas.
24:07
It's where I first heard about this quantitative way to define dissonance
24:10
and I recommend you check it out.
24:12
And I've used screen grabs from the website for examples throughout the video.
24:15
There are also a bunch of caveats to the dissonance graph
24:17
that I want to mention.
24:18
But first, I want to say a big thank you to the Acoustical Society
24:21
of America,
24:21
which is literally the perfect sponsor for this video.
24:24
Almost all of the best references on this subject were in journals
24:27
or books published by the acoustical society.
24:29
There are so many cool careers possible in acoustics.
24:32
Music recording, forensic acoustics, rocket and aircraft noise research, speech pathology, underwater drone communication.
24:38
The list goes on and on.
24:39
Go check out the ASA's acoustics career toolkit at exploresound.org/acoustics careers.
24:44
It's an online resource designed to help you explore the possible career options in
24:48
sound,
24:48
science, and technology.
24:50
As the acoustical society says, if you're into science, engineering, healthcare, or the arts,
24:54
acoustics offers a career path for you.
24:57
Visit the acoustics career toolkit.
24:59
And thanks to the acoustical society for supporting this acoustics themed minute physics video.
25:03
And now, the caveats.
25:05
This isn't a caveat,
25:06
but we thought the dissonance graph was cool enough
25:07
that we should make a t-shirt out of it.
25:09
So, here it is.
25:09
You can get it at dftba.com/minutysics.
25:12
It's perfect for the nerds, the musicians, the music nerds in your life.
25:16
Again, dftba.com/minutics.
25:19
Now, back to the caveats.
25:21
One interesting feature of the dissonance graphs for strings
25:23
or pipes is that they include an intune valley bottom for a note between
25:27
the intervals of a fourth
25:28
and fifth,
25:29
which is called the trionee and considered the most dissonant interval in western music.
25:33
But according to the dissonance graph,
25:34
it shouldn't be any more dissonant than a minor 6th.
25:37
There's more to harmony than the dissonance graph.
25:40
You may have noticed
25:41
that we haven't really talked about whole steps
25:42
or half steps,
25:43
which are the smallest intervals in Western music
25:44
and sometimes thought of
25:45
as the building blocks of scales.
25:47
The problem is they're actually really dissonant.
25:49
And the same thing applies to the major 7th,
25:51
which is a half step below the octave.
25:52
If we start with a dissonance graph,
25:54
the place where something like a whole step really shows up is in the
25:56
differences between the notes
25:57
that make a fourth,
25:58
a fifth, and a major 6th.
25:59
And something like a half step shows up in the differences between the minor
26:02
3rd,
26:02
major 3rd, fourth, tri-onee, fifth, minor 6th, major 6th, etc.
26:06
Though the actual size of those steps is not at all consistent.
26:08
My personal theory is
26:09
that the origin of whole
26:10
and half steps comes from these interval differences rather than whole
26:13
and especially half steps being nicely intune intervals on their own.
26:16
because a half step never really sounds in tune.
26:19
The exact shape of the dissonance graph, even the simple one for sine waves,
26:23
depends on a lot.
26:24
Physics, human physiology, human psychology,
26:26
and probably even the type of musical harmony you've been exposed to in your
26:29
life.
26:29
Here are a few factors I know for sure that I glossed over.
26:33
Slight changes to the shape of the dissonance graph for pure sine waves result
26:37
in qualitatively similar but quantitatively different dissonance graphs for chords.
26:41
Like here's a dissonance curve drawn by Helm Holtz in the late 1800s that's
26:44
a lot curvier than the ones we've been using.
26:46
The overall graph also depends on whether
26:48
or not you take into account sensitivity of human hearing to different frequencies
26:51
and how loud the different overtones are relative to each other in the sound
26:54
you're listening to.
26:55
The overall shape of the dissonance graph also changes
26:58
if you include the dissonance contribution from all the overtones of one note with
27:01
each other before you even add a second note.
27:03
And the dissonance graph has been built by assuming
27:05
that dissonance of a sound adds up linearly in a nice clean superposition just
27:09
like the frequencies do.
27:10
That is, instead of calculating the dissonance directly,
27:12
we're assuming that just
27:13
because a sound can be broken apart into its component frequencies
27:16
and added back up together.
27:17
Similarly, if we break a sound apart into its components, calculate their dissonances,
27:21
then add the sound back up,
27:22
we're assuming the dissonances also add back up rather than being some complicated nonlinear
27:27
relationship.
27:28
Another way that the dissonance curve oversimplifies things is
27:30
that instruments don't just make one type of overtones.
27:33
Like a violin isn't just a bunch of vibrating strings.
27:35
It also has a wooden body that vibrates in ways similar to a drum.
27:38
And the body itself is an acoustic cavity for the air vibrating aside
27:41
and so on.
27:42
And because the shape of the violin body doesn't change even
27:44
if you change the note you're playing,
27:46
the overtones of a violin are actually a complicated combination of the body overtones
27:50
and the string overtones.
27:51
Thanks again for watching and go get your dissonance t-shirt.
27:55
It also comes in white.
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