Essentials: The Science of Learning & Speaking Languages | Dr. Eddie Chang
Watch on YouTubeVideo summary
The video explores the fundamental distinction between speech and language within neurobiology, clarifying that while they are often conflated in daily conversation, they involve different brain mechanisms and processes. Speech is defined as the physical production of an auditory signal through the coordinated movement of vocal structures like the larynx, pharynx, tongue, lips, and jaw to shape exhaled air into sounds. In contrast, language encompasses broader cognitive functions such as pragmatics (understanding context), semantics (meaning), and syntax (grammar). This distinction is crucial because individuals with severe brain injuries or paralysis may lose their ability to produce fluent speech while retaining the capacity for non-verbal vocalizations like crying or moaning, which are controlled by different neural pathways than those responsible for articulate language.
A significant portion of the discussion focuses on Dr. Eddie Chang's groundbreaking work using Brain-Computer Interfaces (BCIs) to restore communication abilities in individuals with locked-in syndrome caused by brainstem strokes or neurodegenerative diseases like ALS. In these conditions, patients retain full cognitive awareness but lose voluntary motor control over their vocal tracts and limbs. The research involves implanting electrode arrays into the cerebral cortex areas that normally coordinate speech production, capturing subtle neural patterns associated with specific phonetic elements. These analog brain signals are converted into digital data via AI algorithms trained to interpret them as words or sentences, allowing paralyzed patients to communicate again after years of silence. This technology represents a major leap forward in medical intervention, offering hope for those who were previously unable to express their thoughts due to complete physical paralysis.
Beyond restoring lost function, the conversation addresses the emerging field of cognitive augmentation and the ethical implications of enhancing human capabilities through neurotechnology. While historical methods like caffeine or nicotine have long served as performance enhancers, modern invasive technologies raise new questions about equity, access, and societal impact if such enhancements become available only to some. Dr. Chang notes that while commercial applications for super-human memory or speed are theoretically possible, current technology still lags far behind the billions of years of evolutionary development that created our natural neural circuits for speech. Consequently, he suggests that future advancements will likely be more incremental and subtle rather than dramatic leaps in capability, emphasizing the need for careful societal dialogue before widespread adoption.
The discussion also highlights the importance of integrating non-verbal cues into digital communication systems to make interactions feel more natural and complete. Current BCI outputs often display text on a screen, but future developments aim to create fully animated avatars that mimic facial expressions and lip movements corresponding to the decoded speech signals. This holistic approach not only improves intelligibility by providing visual context similar to face-to-face conversation but also offers valuable feedback loops for patients learning to use their neural prosthetics. Furthermore, the video touches on stuttering as a breakdown in the precise coordination required for fluent articulation rather than just an anxiety issue, suggesting that therapies focusing on auditory feedback and motor control can help manage this condition by addressing the complex machinery of speech production.
Read the full video transcript
Welcome to Huberman Lab Essentials,
where we revisit past episodes for the
most potent and actionable science-based
tools for mental health, physical
health, and performance.
I'm Andrew Huberman, and I'm a professor
of neurobiology and ophthalmology at
Stanford School of Medicine. And now,
for my discussion with Dr. Eddie Chang.
Eddie, welcome.
>> Hi, hi Andrew.
>> Great to be here with you. Your main
focus these days is the neurobiology of
speech and language. So, for those that
aren't familiar, could you please
distinguish for us speech versus
language in terms of whether or not
different brain areas control them. When
I think about language, I think about
words and just talking. If I sit down to
do a long podcast, or I think about
asking you a question, I don't even
think about the words I want to say
very much. I mean, I have to think about
them a little bit, one would hope. But,
I don't think about individual syllables
unless I'm trying to, you know, you
know, accent something, or it's a word
that I have a particular
difficulty saying, or I want to change
the cadence, etc. So, what in the world
is contained in these brain areas? What
is represented um to me is is perhaps
one of the most interesting questions,
and I know this lands square in your
wheelhouse.
>> Sure. Let's get into this, uh Andrew,
because this is one of the most exciting
stuff that's happening right now is
understanding how the brain processes
these exact questions. And speech
corresponds to the communication signal.
It corresponds to me moving my mouth and
my vocal tract to generate words. And
you're hearing these as an auditory
signal. Language is something much
broader. So, it refers to what you're
extracting from the words that I'm
saying. We call that pragmatics, and
sort of where you're getting the gist of
what I'm saying. There's another aspect
of it that we call semantics. Do you
understand the meaning
of these words and
uh the sentences. There's another part
that we call syntax, which refers to how
the words are assembled in a grammatical
form. So, those are all really critical
parts of language. And speech is just
one form of language. There's many other
forms like sign language, uh reading.
Those are all important modalities for
reading.
Our research really focuses on this area
that we're calling speech. Again, the
production of this audio signal,
which you can't see, but your
microphones are picking up. There are
these vibrations in the air that are
created by my vocal tract that are
picked up by the microphone in the case
of this recording, but also picked up by
the sensors in your ear. The very tiny
vibrations in your uh ear are picking
that up and translating that into
electrical activity. It's such a complex
feat. Some people would say it's the
most complex motor thing that we do as a
species is is this speaking, not, you
know, the extreme feats of acrobatics or
athleticism.
>> But when it comes to speaking, you want
especially when uh one observes, you
know, uh opera or um people who, you
know, freestyle rappers, you know, and
and of course it's not just the lips,
it's the tongue.
>> Yeah.
>> And you've mentioned two other
structures, pharynx and larynx are the
main ones that they um can you tell us
just just educate us at a at a
superficial level what the
pharynx and larynx do differentially cuz
I think most people aren't going to be
familiar with that.
>> I'll talk primarily about the larynx
here for a second, which is that if you
think about when we're speaking, really
what we're doing is we're shaping the
breath. So, even before you get to the
larynx, you got to start with the
expiration. We fill up our lungs and
then we push the air out. That's a
normal part of breathing. What is really
amazing about speech and language is
that we evolved
to take advantage of that normal
physiologic thing
at a larynx.
And what the larynx does is that when
you're exhaling, it brings the vocal
folds together. Some people call them
vocal cords. They're not really cords,
they're really vocal folds. They're two
pieces of tissue that come together and
a muscle brings them together. And then
what happens is when the air comes
through the vocal folds when they're
together, they vibrate at really high
frequencies, like 100 to 200 hertz. And
the reason why men and women generally
have different voice qualities is it has
to do with the size of the larynx and
the shape of it. Okay, so in general,
men have a a larger voice box or larynx
and the vibrating frequency, the
resonance frequency of the vocal folds
when the air comes through them is about
100 hertz for men and about 200 for
women. So, you take a breath in as the
air is coming out, the vocal folds come
together, and the air goes through. That
creates the sound of the voice that we
call voicing. It's not just your voice
characteristic, it's the energy of your
voice. It's coming from the larynx.
here. It's a noise. And then it's the
source of the voice.
And then what happens is that energy,
that sound
goes up through the parts of the vocal
tract, like the pharynx, into the oral
cavity, which is your mouth and your
tongue and your lips. And what those
things are doing is that they're shaping
this the air
in particular ways that create
consonants and vowels. That's what I
mean by shaping the breath. It just
starts with this exhalation.
You generate the voice in the larynx and
then everything above the larynx is
moving around, just like the way my
mouth is doing right now, to shape that
air into particular patterns that you
can hear as words.
>> Immediately makes me
wonder about more um primitive or
non-learned vocalizations, like crying
or laughter. Are those produced by the
language areas or do they have their own
unique neural structures?
>> We call those vocalizations. A
vocalization is basically where someone
can create a sound like a cry or a moan,
that kind of sound. And it also involves
the exhalation of air. It also involves
some phonation at the level of larynx
where the vocal folds come together to
create that audible sound. But it turns
out that those are actually different
areas. So people who have injuries in
the speech and language areas often
times can still moan. They can still
vocalize.
And it is a different part of the brain.
I would say an area that
even non-human primates have that can be
specialized, you know, for vocalization.
It's a different form of communication
than than words, for example.
>> Speaking of storage of an ability to
speak, you are doing some amazing work
and have achieved some um pretty
incredible well-deserved recognition for
your work in bringing language out of
paralyzed people. Essentially allowing
people who are locked into a paralyzed
state or otherwise unable to articulate
speech using
brain-machine interface, essentially
translating the neural activity of areas
of the brain that
would produce speech into
hardware, artificial non-biological
tools in order to allow paralyzed people
to communicate.
>> So there are a series of conditions.
Um they include things like brainstem
stroke. The brainstem is the part of the
brain that connects the cerebrum, which
is the top part that does our thinking
and a lot of the motor control, speech,
language, everything. And the brainstem
is what connects that to the spinal cord
and the nerves that go out to the face
and vocal tract. So if you have a stroke
there, you could be thinking all the
wild creative intelligent thoughts you
have in the mind in the cerebrum, but
you can't get them out into words, or
you can't get them out to your hand
to write them down.
So, that's a very severe form of
paralysis called brain stem stroke.
There's another kind of conditions that
we call neurodegenerative where the
nerve cells die basically or atrophy in
a condition called uh ALS. That's a very
severe form of paralysis. In its extreme
form, people essentially lose all
voluntary movement. The muscles to their
diaphragm and their lungs essentially
give out as well. They get weaker so
that they can't breathe anymore. In our
field, these are kind of like the most
devastating things that can happen. This
condition of what we call being locked
in
refers to this idea that you can have
completely
intact cognition and awareness, but have
no way to express that.
No voluntary movement, no ability to
speak. And that is devastating because
uh psychologically and socially, you
know, you're completely isolated. That's
what we call locked-in syndrome.
And it's devastating. So, we've been
studying this
patterning of electrical activity for
consonants and vowels. And
essentially, once we figured out a lot
of these codes for the individual
phonetic elements, part of the lab
started to focus on this very specific
question.
For people who have these kind of
paralysis, could we
intercept those signals from the brain,
the cerebral cortex,
as someone is trying to say those words?
And then can we intercept them and then
have them
taken out of the brain
through wires to a computer that are
going to interpret those signals and
translate them into words. So, we
started a clinical trial. It's called
the Bravo trial. It's still underway.
And the first participant in the Bravo
trial was a man who had been paralyzed
for 15 years. He was in a car accident.
He actually walked out of the hospital
day after that car accident. But the
next day had a complication related to
it
where he had a very large stroke in the
brainstem.
And that turned out to be devastating.
He didn't wake up from that stroke for
about a week. He was in a coma for about
a week.
And when he woke up from that coma, he
realized that he couldn't speak or move
his arms or legs. As he told me or
communicated to us, that was absolutely
devastating. He wanted
really to die at that time.
>> Could he blink his eyes or move his
mouth in any way?
>> He could blink his eyes. He had some
limited mouth movements, but couldn't
produce any intelligible speech. It was
like completely slurred and
incomprehensible. He survived this
injury. A lot of people who have that
kind of stroke just don't survive. The
way he actually communicates, because he
has a little bit of residual neck
movements, is that
he improvised and had
his friends basically
put a stick attached to his baseball
cap. And because he could move his neck,
he would essentially type out letters on
a keyboard screen to get out words. In
fact, this is how he communicated was
through a device that he would
essentially peck out letters one by one
by moving his neck to control this stick
attached to his baseball cap. He hadn't
really spoken for about 15 years.
>> Oh, goodness.
>> Yeah. So, it was part of a clinical
trial. It was, you know, something that
our hospital and also the FDA, you know,
had to approve and looked at very
carefully. But given a lot of the work
that we had done, there was some basis
for for why this might work.
And so, we did a surgery where we
implanted electrodes
onto these areas that control the vocal
tract, the areas that control the
larynx, the areas that control the lips
and tongue and jaw movements
when we normally speak. These are areas
that presumably may be active. That was
our hope. And he underwent a surgery, a
brain surgery, where we put an electrode
array, and we connected it to a port
that was skull to screw to a skull. The
port actually goes through his scalp,
and he's lived with this now for last 3
years. So, he has an electrode array
that's implanted over the part of this
brain that's important for speech. It's
connected to a port.
And then, we connect a wire to that port
that translates those
uh what we call analog, you know, brain
waves,
and converts them into digital signals.
We put them through a machine learning
or artificial intelligence algorithm
that can pick up these very, very subtle
patterns. You can't actually see them
with your eye
uh in in the brain activity, and
translate those into words. And this is
something that
took weeks to train the algorithm to
interpret it correctly. But, what was
incredible about it was to see how he
reacted. He would be prompted to say a
given word like, you know, outside, for
example.
And then, he would think about it, try
to say it, and finally those words would
appear on the screen. And what was
really amazing about it was you could
really tell that he like got a kick out
of that because, you know, his body
would shake in a way, and his head would
shake in a way that he would start to
giggle. That was cool to see, but then I
also realized that when he was
giggling, it kind of screwed up the next
word's decoding.
>> Is that a bug you've since
fixed?
>> No, we haven't fixed that. It's easier
just to tell him to stop giggling.
The way this worked was we trained uh
this computer to recognize 50 words. We
started with a very small vocabulary.
That's expanding as we speak. I think
that this is just a matter of time
before these vocabularies become much,
much larger.
But, we started with a 50 set of words.
We created essentially all the possible
sentences that you could generate from
those 50 words. Why that was important
was you can use those all those possible
sentences to create a computational
model computer model of all the
different word combinations to give
different sentences given those 50 words
and then you can essentially do what we
call auto correct. It's the same kind of
thing that we do when you're texting for
example, you get the wrong letter in
there. Your phone actually knows, you
know, because it's context what to
correct it. So because the decoding is
not 100% correct all the time. In fact,
it's far from that.
It's really helpful to have these other
features like auto correct the stuff
that we use routinely now
with texting that
makes it correct and then updates it. So
it's a combination of a lot of things.
It's the AI that is translating those
brain activity patterns, but it's also
things that we've learned from speech
and speech technologies
that you know, you put all together and
then all of a sudden it starts to work.
That was the first time that someone was
paralyzed and could create words
and sentences that was just decoded from
the brain activity.
>> These days we hear a lot about
Neuralink,
right? Elon Musk's company. While brain
machine interface of the sort that you
do and that other laboratories do has
been going on for a long time, there's
been some press around Neuralink about
the promise of what brain machine
interface could do. What are your
thoughts about manipulating neural
circuitry to achieve supra human or
super human or super physiological
functions? And here we don't even have
to think about Neuralink in particular.
It's just but one example
of companies and people and laboratories
that are
quite understandably considering all
this.
>> It's a really interesting time right
now. The science has been going on for
decades. The work that we've done in
this field that you call brain machine
interface has been going on for a while
and a lot of the early work was just
trying to restore things like arm
movement or having people or monkeys
control a computer cursor for example on
the screen. That's been going on for
decades. What's been really new is that
industry is now involved and some some
of this now becoming commercialized and
we're starting to see us now cross over
to this field where it's no longer just
research that we're talking about
medical products um that are designed to
be you know
surgically implanted in some cases. You
know, there's people doing this kind of
work non-invasively as well. They don't
require surgery. The specific question
that you were asking about is an area
that we call augmentation. So, can you
build a device um that essentially
enhances someone's ability beyond
supernormal?
Super memory.
Super communication speeds beyond speech
for example. Superior uh
precision athletic abilities. I think
that these are very serious kind of
questions to be asking now because as
you mentioned, the pathway so far is
really to focus on these medical
applications.
I personally don't think that we've
thought enough actually about what these
kind of scenarios are going to look
like.
And I don't think we've thought through
all the ethical implications of what
this means for augmentation in
particular. There's part of this that is
not new at all. Humans throughout
history
have been doing things to augment our
function. Coffee, nicotine, all kinds of
medications that cross over from medical
to consumer. That is everywhere. So, the
pursuit of augmentation or performance
or enhancement is really not a new
thing. The questions really as they
relate to neurotechnologies for example
have to do
with the invasive nature. For example,
if these technologies require surgery
for example to do something that is not
for a medical application.
Again, there that is not exactly new
territory, either.
People do that routinely for cosmetic
kind of procedures, for physical
appearance, not necessarily
cognitive. So,
I do think that
provided the technology continues to
emerge the way that it does,
that it's going to be around the corner.
And it probably is not going to be in
ways that are super obvious. I don't
think it's going to be like, can we
easily memorize every fact in the world?
But in forms that are going to be much
more incremental, and maybe more subtle.
In many ways, we already have that now.
Like, for example, you don't have to
have a neural interface embedded in your
brain to get information, essentially
access to all information in the world.
You just have to have, you know, your
iPhone.
Whether you could do it faster
through uh a brain interface, I
definitely wouldn't rule that out. But
think about this, that systems that we
have already to speak and to communicate
have evolved over,
you know, thousands and millions of
years, and they're supported by neural
structures
that have bandwidth of millions of
neurons.
There's no technology
that exists right now that people are
thinking about that are in commercial
form, certainly,
not even in research labs, that come
anywhere close
to what has been evolved for those
natural purposes.
So, I'm essentially saying
two sides of this, which is we're
already getting into this now.
This is not new territory, this topic of
augmentation, both physical and
cognitive. We've already surpassed that.
That's part of what humans do in
general. But we are entering this area
of like
enhanced cognition, um these areas that
I think the technology is going to be
the rate-limiting step in how far it can
go. And we have not had the
conversations about number one, is this
what we actually want? Is this going to
be good for society? Who gets access
to this technology? These are all things
that are going to become real-world
problems.
>> Could you tell us what you're doing in
terms of merging the brain-machine
interface with extraction of speech
signals from people who are locked in
like Poncho with facial expressions?
>> Sure, yeah. I'm here with you in person.
We could have done this virtually,
probably. It's pretty easy to do that.
We could have recorded this
really separate, but there is something
about being able to actually see your
expressions
and to understand other forms of
communication. So, another really
important one
is nonverbal. The expressions that
you're making. For example, if you have
a quizzical look on your face if I'm
saying something not clear, that's a
sign to me that I need to rephrase it or
to say it in a different way or slow
down. Facial expressions actually are
really important part of the way we
speak. And there's two things. It's not
just the expressions of like how you're
feeling and perceiving what I'm saying,
but it's also
seeing my mouth move. And your eyes
actually see my mouth move and my jaw
move in a particular way that actually
allows you to hear those sounds better.
So, having both the visual information
but also the sounds go into your brain
is going to improve intelligibility,
also make it more natural. And the
reason why we're also very interested in
this idea of not just having text on a
screen, but essentially a fully computer
animated face like an avatar of
the person's speech movements and their
facial expressions is going to be a more
complete form of expression. Now, you
can imagine right now that might just be
someone looking at a computer screen
interpreting these signals, but
I think the way things are going in the
next couple of years, a lot more of our
social interactions, more than even now,
are going to move into this digital
virtual space. Of course, most people
aren't thinking about what that means
for most consumers,
but it also has really important
implications for people who are
disabled, right? And whether the how how
are they going to participate in that?
And so we were thinking really about for
people like Poncho and other people who
are paralyzed, what other forms of BCI
can we do in order to help improve their
ability to communicate? So one is
essentially building out more holistic
avatars. You know, things that can
essentially decode, you know,
essentially their their expressions or
the movements associated with their
mouth and jaw when they actually speak
to improve that communication.
>> So do you envision a time not too long
from now where instead of tweeting out
something in text, my avatar will I'll
I'll type it out, but my avatar will
just say it. It'll be a an image of my
avatar saying whatever it is I happen to
be tweeting at that moment.
>> That's what we're working on. That is
going to happen and it's going to happen
soon and there's a lot of progress in
that and again, we're just trying to
enrich
um the the field of you know, of
communication expression
um to make it more normal. And we
actually think that
having that kind of avatar is a way of
getting feedback to people learning how
to speak through a speech neural
prosthetic. That's the device that we
call it. It's a speech neural
prosthetic. That is going to be the way
that can help people learn how to do it
the quickest, not necessarily like
trying to say words and having it come
on a screen, but actually have people
embody, feel like it's part of
themselves or that they are directly
controlling that
that illustration or animation.
>> I get a lot of questions about stutter.
What can people stutter do if they'd
like to relieve their stutter?
>> Stutter is a condition where
the words can't come out fluently. So
you have all the ideas, you've got the
language intact. You know, remember we
talked about this distinction between
language and speech. Stuttering is a
problem of speech, right? So, the ideas,
the meanings, the grammar, it's all
there and people stutter, but they can't
get the words out fluently.
So, that's a speech
condition and uh in particular, it's a
condition that affects articulation,
specifically about controlling the
production of words in this really
coordinated kind of movements that have
to happen in the vocal tract to produce
fluent speech.
And
um stuttering is a condition where
people have a predisposition to it. So,
there's
an aspect of stuttering, you are a
stutterer or you're not a stutterer, but
people who stutter don't stutter all the
time, either.
So, you could be a stutterer who
stutters at sometimes, but not others.
And
really the the main link between
stuttering and anxiety is that anxiety
can provoke it and make it worse. That's
certainly true. But, it's not
necessarily caused by
anxiety. Can essentially trigger it
or make it worse, but it's not the cause
of it per se.
So, the cause of it is still really not
clear, but it does have to do with these
kind of brain functions that we've been
talking about earlier,
which is that
in order to produce normal fluent
speech, we're not even conscious of what
is going on in our mouths, in our
larynx.
We're not conscious and if we were, we
would not be able to speak because it's
too complex.
It's too precise. It's something that we
have
really uh developed the abilities to do
and we do it naturally, right? It's part
of our programming and part of what we
learn inherently and then, you know,
it's just through exposure.
So,
stuttering is a
is essentially a breakdown at certain
times
in that machinery be able to work in a
really coordinated way.
You can think about, you know, the
operations of these areas that are
controlling the vocal tract. Let's say
speech is like a symphony. In order for
it to come out normally, you've got to
have not just one part, the larynx,
but the lips, the jaw. They can't be
doing their own thing. They have to be
very, very precisely
activated and very, very precisely
controlled in a way to actually create
words.
And so, in stuttering, there's a
breakdown of that coordination.
>> If somebody has a stutter, is it better
to address that early in life when
there's still neuroplasticity
and is very robust? And if so, what's
the typical route for treatment? I I
have to imagine it's not brain surgery
typically. Um
I'm guessing there are speech therapists
that that people can talk to and and
and they can help them work out where
they're getting stuck in the
relationship to anxiety.
>> Yeah, exactly. I mean, part of it is
about that anxiety, but a lot of it
really has to do
with um
therapy to sort of like work through and
think of tricks basically sometimes to
create conditions where you can actually
get the words to come out. A lot of some
forms of stuttering are really
initiation problems. Just getting
started itself is is very hard. You want
to
start with initial vowel or consonant,
but it won't emit. So, a lot of the
therapy is really just focusing on like,
how do you
create the conditions, you know, for
that to happen? There's another aspect
to it that I find very interesting is
that um the feedback, essentially, what
we hear ourselves say, for example.
Every time that I say a word, I'm also
hearing what I'm saying. So, that's what
we call auditory feedback.
That turns out to be very important and
sometimes when you change that, it can
actually change the amount someone
stutters for better or for worse. And it
it's giving us a clue
that the brain is not just focused on
sending the commands out, but it's also
possibly interacting with the part that
is hearing the sounds and there's
something that might be going on in that
connection that
that breaks down when stuttering occurs.
So, there are individuals that are
stutterers, but they don't stutter all
the time.
In those instances, there's something
happening in those particular moments
where this very, very precise
coordination needs to happen
in the brain in order to get the words
out fluently.
>> And you have to say from the first time
we became friends uh
38 years ago.
>> Something like that.
>> To be sitting here with you today for me
is a absolute thrill, not just because
we've been friends for that long or that
we got reacquainted through the
literally the halls of medicine and
science, but because I really do see
what you're doing as really representing
that front absolute cutting edge of of
exploration and application. I mean, the
story of Poncho is but one of your many
patients that um has derived tremendous
benefit from your work and and now as a
chair of a department, you of course
work alongside individuals who are also
doing incredible work in the spinal
cord, etc.
So, now on behalf of myself and and
everyone listening, I just really want
to thank you for
joining us today to share this
information, but also just for the work
you do. It's truly spectacular. So,
thank you ever so much.
>> Thanks.