ABOUT THE SPEAKER
Rébecca Kleinberger - Voice expert
Rébecca Kleinberger is a voice expert pursuing research as a PhD candidate in the MIT Media Lab’s Opera of the Future group.

Why you should listen

Rébecca Kleinberger creatively mixes science, engineering, design and art to explore ways to craft experiences for vocal connection. As part of this work, she designs unique experiences to help people connect with themselves and with others. She accomplishes this using approaches that include projection mapping, virtual reality, rapid prototyping, deep learning, real-time digital signal processing, lasers, wearable technologies and robotics. See examples ranging from a projection ball gown to a memory music box to assistive wearable devices for stutterers on her portfolio.

Throughout six years of work on self-reflection technologies, Kleinberger has developed unique expertise on the human voice as a means of self-connection as well as with others and between species. Her research spans a wide range of fields including neurology, human-computer interaction, psychology, cognitive sciences, physics, biology, clinical research, linguistics, communication theory and assistive technologies. With these tools, people discover more about themselves and the expression they project.

Kleinberger's work was featured on the cover of the Financial Times Magazine and has been shown at a wide range of events and venues including the Museum of Fine Art in Boston, Le Laboratoire in Paris, Siggraph Art exhibition in Los Angeles, the "Hacking Consciousness"exhibit at the Harvard Divinity School and EMF camp in the UK. She has collaborated with Microsoft Research UK and the Google Magenta team and has presented her research at a host of international conferences. Working with Tod Machover, head of the Opera of the Future group, and other group members, her research has also been deployed outside the MIT Media Lab as part of live shows and novel esthetic experiences at Maison Symphonique de Montreal, the Lucerne Festival in Switzerland and the Winspear Opera House in Dallas. Her work has also been featured in Engadget and "60 Minutes."

Kleinberger graduated from École National des Arts et Métiers in Paris with a Master's of Mechanical Engineering and from University College London with a Master of Research in Virtual Environments, Imaging and Visualization. She is also experienced in the art of shearing sheep and raising hedgehogs.

(Photo: Stephanie Ku) 

More profile about the speaker
Rébecca Kleinberger | Speaker | TED.com
TEDxBeaconStreet

Rébecca Kleinberger: Why you don't like the sound of your own voice

Filmed:
3,169,320 views

Your voice is indistinguishable from how other people see you, but your relationship with it is far from obvious. Rébecca Kleinberger studies how we use and understand our voices and the voices of others. She explains why you may not like the sound of your own voice on recordings, the differences between your outward, inward and inner voices -- and the extraordinary things you communicate without being aware of it.
- Voice expert
Rébecca Kleinberger is a voice expert pursuing research as a PhD candidate in the MIT Media Lab’s Opera of the Future group. Full bio

Double-click the English transcript below to play the video.

00:12
If you ask evolutionary biologists
0
760
3056
00:15
when did humans become humans,
1
3840
3296
00:19
some of them will say that,
2
7160
2096
00:21
well, at some point
we started standing on our feet,
3
9280
2896
00:24
became biped and became
the masters of our environment.
4
12200
3320
00:28
Others will say that because our brain
started growing much bigger,
5
16880
5296
00:34
that we were able to have
much more complex cognitive processes.
6
22200
3080
00:38
And others might argue
that it's because we developed language
7
26680
4376
00:43
that allowed us to evolve as a species.
8
31080
2280
00:46
Interestingly, those three
phenomena are all connected.
9
34960
4536
00:51
We are not sure how or in which order,
10
39520
2776
00:54
but they are all linked
11
42320
1536
00:55
with the change of shape of a little bone
in the back of your neck
12
43880
3760
01:00
that changed the angle
between our head and our body.
13
48840
3160
01:04
That means we were able to stand upright
14
52760
3056
01:07
but also for our brain
to evolve in the back
15
55840
3136
01:11
and for our voice box to grow
from seven centimeters for primates
16
59000
5616
01:16
to 11 and up to 17 centimetres for humans.
17
64640
3120
01:21
And this is called
the descent of the larynx.
18
69080
2400
01:24
And the larynx is the site of your voice.
19
72280
1960
01:28
When baby humans are born today,
their larynx is not descended yet.
20
76160
4160
01:33
That only happens
at about three months old.
21
81160
2320
01:37
So, metaphorically, each of us here
22
85040
2256
01:39
has relived the evolution
of our whole species.
23
87320
3240
01:44
And talking about babies,
24
92880
1256
01:46
when you were starting to develop
in your mother's womb,
25
94160
2640
01:49
the first sensation that you had
coming from the outside world,
26
97600
4216
01:53
at only three weeks old,
when you were about the size of a shrimp,
27
101840
3936
01:57
were through the tactile sensation
28
105800
2696
02:00
coming from the vibrations
of your mother's voice.
29
108520
2800
02:04
So, as we can see, the human voice
is quite meaningful and important
30
112440
4976
02:09
at the level of the species,
31
117440
2976
02:12
at the level of the society --
32
120440
1536
02:14
this is how we communicate
and create bonds,
33
122000
2936
02:16
and at the personal
and interpersonal levels --
34
124960
3456
02:20
with our voice, we share much more
than words and data,
35
128440
3136
02:23
we share basically who we are.
36
131600
2136
02:25
And our voice is indistinguishable
from how other people see us.
37
133760
4376
02:30
It is a mask that we wear in society.
38
138160
1920
02:34
But our relationship with our own voice
is far from obvious.
39
142000
2810
02:37
We rarely use our voice for ourselves;
we use it as a gift to give to others.
40
145840
4776
02:42
It is how we touch each other.
41
150640
3176
02:45
It's a dialectical grooming.
42
153840
1936
02:47
But what do we think about our own voice?
43
155800
2416
02:50
So please raise your hand
44
158240
1736
02:52
if you don't like the sound of your voice
when you hear it on a recording machine.
45
160000
4016
02:56
(Laughter)
46
164040
1216
02:57
Yeah, thank you, indeed,
47
165280
1216
02:58
most people report not liking
the sound of their voice recording.
48
166520
3896
03:02
So what does that mean?
49
170440
1216
03:03
Let's try to understand that
in the next 10 minutes.
50
171680
2696
03:06
I'm a researcher at the MIT Media Lab,
51
174400
3096
03:09
part of the Opera of the Future group,
52
177520
1840
03:12
and my research
focuses on the relationship
53
180200
3056
03:15
people have with their own voice
and with the voices of others.
54
183280
3080
03:19
I study what we can learn
from listening to voices,
55
187760
4056
03:23
from the various fields,
56
191840
1376
03:25
from neurology to biology,
cognitive sciences, linguistics.
57
193240
3880
03:30
In our group we create
tools and experiences
58
198680
3056
03:33
to help people gain a better
applied understanding of their voice
59
201760
4736
03:38
in order to reduce the biases,
60
206520
3056
03:41
to become better listeners,
61
209600
2096
03:43
to create more healthy relationships
62
211720
2976
03:46
or just to understand themselves better.
63
214720
2000
03:50
And this really has to come
with a holistic approach on the voice.
64
218240
4280
03:55
Because, think about all
the applications and implications
65
223640
3616
03:59
that the voice may have,
as we discover more about it.
66
227280
2880
04:03
Your voice is a very complex phenomenon.
67
231160
3136
04:06
It requires a synchronization
of more than 100 muscles in your body.
68
234320
3320
04:10
And by listening to the voice,
69
238480
2376
04:12
we can understand possible failures
of what happens inside.
70
240880
4776
04:17
For example:
71
245680
1200
04:19
listening to very specific
types of turbulences
72
247840
3496
04:23
and nonlinearity of the voice
73
251360
2296
04:25
can help predict
very early stages of Parkinson's,
74
253680
3456
04:29
just through a phone call.
75
257160
1400
04:31
Listening to the breathness of the voice
can help detect heart disease.
76
259519
4361
04:37
And we also know that the changes of tempo
inside individual words
77
265880
4616
04:42
is a very good marker of depression.
78
270520
2280
04:46
Your voice is also very linked
with your hormone levels.
79
274320
3056
04:49
Third parties listening to female voices
80
277400
2616
04:52
were able to very accurately
place the speaker
81
280040
3016
04:55
on their menstrual cycle.
82
283080
1320
04:57
Just with acoustic information.
83
285560
1520
05:00
And now with technology
listening to us all the time,
84
288800
3576
05:04
Alexa from Amazon Echo
85
292400
2976
05:07
might be able to predict
if you're pregnant
86
295400
2416
05:09
even before you know it.
87
297840
1696
05:11
So think about --
88
299560
1336
05:12
(Laughter)
89
300920
1176
05:14
Think about the ethical
application of that.
90
302120
2080
05:17
Your voice is also very linked
to how you create relationships.
91
305720
3096
05:20
You have a different voice
for every person you talk to.
92
308840
3376
05:24
If I take a little snippet
of your voice and I analyze it,
93
312240
3496
05:27
I can know whether you're talking
to your mother, to your brother,
94
315760
3376
05:31
your friend or your boss.
95
319160
1616
05:32
We can also use, as a predictor,
the vocal posture.
96
320800
5176
05:38
Meaning, how you decide to place
your voice when you talk to someone.
97
326000
3936
05:41
And you vocal posture,
when you talk to your spouse,
98
329960
3216
05:45
can help predict not only if,
but also when you will divorce.
99
333200
3680
05:50
So there is a lot to learn
from listening to voices.
100
338560
2440
05:54
And I believe this has to start
with understanding
101
342080
2376
05:56
that we have more than one voice.
102
344480
2016
05:58
So, I'm going to talk
about three voices that most of us posses,
103
346520
3856
06:02
in a model of what I call the mask.
104
350400
2320
06:05
So when you look at the mask,
105
353520
1976
06:07
what you see is a projection
of a character.
106
355520
2280
06:10
Let's call that your outward voice.
107
358360
2136
06:12
This is also the most classic way
to think about the voice,
108
360520
2816
06:15
it's a way of projecting
yourself in the world.
109
363360
2896
06:18
The mechanism for this projection
is well understood.
110
366280
3256
06:21
Your lungs contract your diaphragm
111
369560
2336
06:23
and that creates a self-sustained
vibration of your vocal fold,
112
371920
3256
06:27
that creates a sound.
113
375200
1496
06:28
And then the way you open and close
the cavities in you mouth,
114
376720
3176
06:31
your vocal tract is going to
transform the sound.
115
379920
2696
06:34
So everyone has the same mechanism.
116
382640
2216
06:36
But voices are quite unique.
117
384880
1776
06:38
It's because very subtle differences
in size, physiology, in hormone levels
118
386680
5776
06:44
are going to make very subtle
differences in your outward voice.
119
392480
3640
06:48
And your brain is very good
120
396840
2016
06:50
at picking up those subtle differences
from other people's outward voices.
121
398880
3800
06:55
In our lab, we are working
on teaching machines
122
403760
3256
06:59
to understand those subtle differences.
123
407040
2416
07:01
And we use deep learning to create
a real-time speaker identification system
124
409480
5856
07:07
to help raise awareness
on the use of the shared vocal space --
125
415360
4776
07:12
so who talks and who never
talks during meetings --
126
420160
2400
07:15
to increase group intelligence.
127
423480
1800
07:17
And one of the difficulties with that
is that your voice is also not static.
128
425960
4120
07:23
We already said that it changes
with every person you talk to
129
431000
3136
07:26
but it also changes generally
throughout your life.
130
434160
2936
07:29
At the beginning
and at the end of the journey,
131
437120
2216
07:31
male and female voices are very similar.
132
439360
2696
07:34
It's very hard to distinguish
133
442080
1536
07:35
the voice of a very your girl
from the voice of a very young boy.
134
443640
3120
07:40
But in between, your voice
becomes a marker of your fluid identity.
135
448280
5096
07:45
Generally, for male voices
there's a big change at puberty.
136
453400
3936
07:49
And then for female voices,
137
457360
1336
07:50
there is a change at each pregnancy
and a big change at menopause.
138
458720
3240
07:55
So all of that is the voice
other people hear when you talk.
139
463320
4136
07:59
So why is it that we're so
unfamiliar with it?
140
467480
3200
08:03
Why is it that it's not
the voice that we hear?
141
471600
3416
08:07
So, let's think about it.
142
475040
1216
08:08
When you wear a mask,
you actually don't see the mask.
143
476280
3520
08:12
And when you try to observe it,
what you will see is inside of the mask.
144
480640
3920
08:17
And that's your inward voice.
145
485240
1680
08:20
So to understand why it's different,
146
488560
2016
08:22
let's try to understand the mechanism
of perception of this inward voice.
147
490600
3680
08:27
Because your body has many ways
of filtering it differently
148
495560
2936
08:30
from the outward voice.
149
498520
2016
08:32
So to perceive this voice,
it first has to travel to your ears.
150
500560
3496
08:36
And your outward voice
travels through the air
151
504080
2576
08:38
while your inward voice
travels through your bones.
152
506680
3496
08:42
This is called bone conduction.
153
510200
1600
08:44
Because of this, your inward voice
is going to sound in a lower register
154
512640
5015
08:49
and also more musically harmonical
than your outward voice.
155
517679
4721
08:55
Once it travels there,
it has to access your inner ear.
156
523400
3896
08:59
And there's this other mechanism
taking place here.
157
527320
2416
09:01
It's a mechanical filter,
158
529760
2096
09:03
it's a little partition
that comes and protects your inner ear
159
531880
3536
09:07
each time you produce a sound.
160
535440
2736
09:10
So it also reduces what you hear.
161
538200
2200
09:13
And then there is a third filter,
it's a biological filter.
162
541240
2960
09:16
Your cochlea -- it's a part of your
inner ear that processes the sound --
163
544880
4256
09:21
is made out of living cells.
164
549160
2056
09:23
And those living cells
are going to trigger differently
165
551240
3096
09:26
according to how often
they hear the sound.
166
554360
2576
09:28
It's a habituation effect.
167
556960
1400
09:31
So because of this,
168
559400
1536
09:32
as your voice is the sound
you hear the most in your life,
169
560960
3056
09:36
you actually hear it less
than other sounds.
170
564040
2480
09:39
Finally, we have a fourth filter.
171
567280
2016
09:41
It's a neurological filter.
172
569320
1520
09:43
Neurologists found out recently
173
571760
2456
09:46
that when you open your mouth
to create a sound,
174
574240
2776
09:49
your own auditory cortex shuts down.
175
577040
2800
09:54
So you hear your voice
176
582400
2896
09:57
but your brain actually never listens
to the sound of your voice.
177
585320
4280
10:04
Well, evolutionarily
that might make sense,
178
592040
2536
10:06
because we know cognitively
what we are going to sound like
179
594600
2976
10:09
so maybe we don't need
to spend energy analyzing the signal.
180
597600
3160
10:13
And this is called a corollary discharge
181
601560
3656
10:17
and it happens for every motion
that your body does.
182
605240
2496
10:19
The exact definition
of a corollary discharge
183
607760
2216
10:22
is a copy of a motor command
that is sent by the brain.
184
610000
5256
10:27
This copy doesn't create any motion itself
185
615280
2696
10:30
but instead is sent
to other regions of the brain
186
618000
3976
10:34
to inform them of the impending motion.
187
622000
2160
10:38
And for the voice, this corollary
discharge also has a different name.
188
626120
3480
10:42
It is your inner voice.
189
630480
2096
10:44
So let's recapitulate.
190
632600
1816
10:46
We have the mask, the outward voice,
191
634440
2056
10:48
the inside of the mask, your inward voice,
192
636520
3096
10:51
and then you have your inner voice.
193
639640
2016
10:53
And I like to see this one
as the puppeteer
194
641680
2056
10:55
that holds the strings
of the whole system.
195
643760
2440
10:59
Your inner voice is
196
647440
1616
11:01
the one you hear
when you read a text silently,
197
649080
2840
11:05
when you rehearse
for an important conversation.
198
653320
2240
11:08
Sometimes is hard to turn it off,
199
656760
1616
11:10
it's really hard to look at the text
written in your native language,
200
658400
4056
11:14
without having this inner voice read it.
201
662480
2080
11:17
It's also the voice
that refuse to stop singing
202
665800
2336
11:20
the stupid song you have in your head.
203
668160
1816
11:22
(Laughter)
204
670000
1200
11:25
And for some people
it's actually impossible to control it.
205
673280
3696
11:29
And that's the case
of schizophrenic patients,
206
677000
2736
11:31
who have auditory hallucinations.
207
679760
2016
11:33
Who can't distinguish at all
between voices coming from inside
208
681800
3336
11:37
and outside their head.
209
685160
1496
11:38
So in our lab, we are also
working on small devices
210
686680
3376
11:42
to help those people
make those distinctions
211
690080
2536
11:44
and know if a voice
is internal or external.
212
692640
2640
11:48
You can also think about the inner voice
as the voice that speaks in your dream.
213
696760
4336
11:53
This inner voice can take many forms.
214
701120
2096
11:55
And in your dreams, you actually unleash
the potential of this inner voice.
215
703240
4216
11:59
That's another work
we are doing in our lab:
216
707480
2056
12:01
trying to access
this inner voice in dreams.
217
709560
3160
12:06
So even if you can't always control it,
218
714280
2296
12:08
the inner voice --
you can always engage with it
219
716600
2536
12:11
through dialogue, through inner dialogues.
220
719160
2336
12:13
And you can even see this inner voice
221
721520
1816
12:15
as the missing link
between thought and actions.
222
723360
2640
12:20
So I hope I've left you
with a better appreciation,
223
728640
3136
12:23
a new appreciation of all of your voices
224
731800
3456
12:27
and the role it plays
inside and outside of you --
225
735280
2536
12:29
as your voice is a very critical
determinant of what makes you humans
226
737840
4416
12:34
and of how you interact with the world.
227
742280
2280
12:37
Thank you.
228
745120
1216
12:38
(Applause)
229
746360
2840

▲Back to top

ABOUT THE SPEAKER
Rébecca Kleinberger - Voice expert
Rébecca Kleinberger is a voice expert pursuing research as a PhD candidate in the MIT Media Lab’s Opera of the Future group.

Why you should listen

Rébecca Kleinberger creatively mixes science, engineering, design and art to explore ways to craft experiences for vocal connection. As part of this work, she designs unique experiences to help people connect with themselves and with others. She accomplishes this using approaches that include projection mapping, virtual reality, rapid prototyping, deep learning, real-time digital signal processing, lasers, wearable technologies and robotics. See examples ranging from a projection ball gown to a memory music box to assistive wearable devices for stutterers on her portfolio.

Throughout six years of work on self-reflection technologies, Kleinberger has developed unique expertise on the human voice as a means of self-connection as well as with others and between species. Her research spans a wide range of fields including neurology, human-computer interaction, psychology, cognitive sciences, physics, biology, clinical research, linguistics, communication theory and assistive technologies. With these tools, people discover more about themselves and the expression they project.

Kleinberger's work was featured on the cover of the Financial Times Magazine and has been shown at a wide range of events and venues including the Museum of Fine Art in Boston, Le Laboratoire in Paris, Siggraph Art exhibition in Los Angeles, the "Hacking Consciousness"exhibit at the Harvard Divinity School and EMF camp in the UK. She has collaborated with Microsoft Research UK and the Google Magenta team and has presented her research at a host of international conferences. Working with Tod Machover, head of the Opera of the Future group, and other group members, her research has also been deployed outside the MIT Media Lab as part of live shows and novel esthetic experiences at Maison Symphonique de Montreal, the Lucerne Festival in Switzerland and the Winspear Opera House in Dallas. Her work has also been featured in Engadget and "60 Minutes."

Kleinberger graduated from École National des Arts et Métiers in Paris with a Master's of Mechanical Engineering and from University College London with a Master of Research in Virtual Environments, Imaging and Visualization. She is also experienced in the art of shearing sheep and raising hedgehogs.

(Photo: Stephanie Ku) 

More profile about the speaker
Rébecca Kleinberger | Speaker | TED.com