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Voice Identity | Dr. Lau Chee Yong | TEDxAPUKL


ever wonder what is actually connecting

ever wonder what is actually connecting us

us

us what can we do in order to engage into

what can we do in order to engage into

what can we do in order to engage into something for example if you want to be

something for example if you want to be

something for example if you want to be in relationship with somebody or if you

in relationship with somebody or if you

in relationship with somebody or if you want to grab a good opportunity so what

want to grab a good opportunity so what

want to grab a good opportunity so what we should do the number one action of a

we should do the number one action of a

we should do the number one action of a suggests is we have some quality our

suggests is we have some quality our

suggests is we have some quality our information we have to tell people

information we have to tell people

information we have to tell people something that we want like if you miss

something that we want like if you miss

something that we want like if you miss somebody

somebody

somebody how can you make him do the simple

how can you make him do the simple

how can you make him do the simple approach is just tell them we miss them

approach is just tell them we miss them

approach is just tell them we miss them and if you are too sure you can actually

and if you are too sure you can actually

and if you are too sure you can actually send over some text but here now I

send over some text but here now I

send over some text but here now I wanted to point out the difference

wanted to point out the difference

wanted to point out the difference between sing get out and also write it

between sing get out and also write it

between sing get out and also write it out so imagine if one day there’s a

out so imagine if one day there’s a

out so imagine if one day there’s a stranger approached you and politely say

stranger approached you and politely say

stranger approached you and politely say hello you might think that he or she is

hello you might think that he or she is

hello you might think that he or she is asking for help or ask you for a favor

asking for help or ask you for a favor

asking for help or ask you for a favor but what if you hurt hey hello so now

but what if you hurt hey hello so now

but what if you hurt hey hello so now you should know that you are the one who

you should know that you are the one who

you should know that you are the one who might need some help so this is the idea

might need some help so this is the idea

might need some help so this is the idea I wanted to tell you tax doesn’t really

I wanted to tell you tax doesn’t really

I wanted to tell you tax doesn’t really help in conveying the emotion but we can

help in conveying the emotion but we can

help in conveying the emotion but we can easily motion by listening to it however

easily motion by listening to it however

easily motion by listening to it however not everyone is that fortunate and also

not everyone is that fortunate and also

not everyone is that fortunate and also healthy as marvelous some of them might

healthy as marvelous some of them might

healthy as marvelous some of them might be suffering from different diseases

be suffering from different diseases

be suffering from different diseases which make them lost their ability to

which make them lost their ability to

which make them lost their ability to speak it may due to accident the brain

speak it may due to accident the brain

speak it may due to accident the brain injury the vocal cord damage and so on

injury the vocal cord damage and so on

injury the vocal cord damage and so on being unable to speak must slow them

being unable to speak must slow them

being unable to speak must slow them down in engaging themself into the

down in engaging themself into the

down in engaging themself into the society and hence making them feel

society and hence making them feel

society and hence making them feel isolated

isolated

isolated another amazing usage of our voice is it

another amazing usage of our voice is it

another amazing usage of our voice is it actually tells who we are without

actually tells who we are without

actually tells who we are without exactly and physically looking at you I

exactly and physically looking at you I

exactly and physically looking at you I can still recognize you by listening to

can still recognize you by listening to

can still recognize you by listening to your points our voice is actually

your points our voice is actually

your points our voice is actually hearing our identity our voice is our

hearing our identity our voice is our

hearing our identity our voice is our trademark but the zip indirectly imply

trademark but the zip indirectly imply

trademark but the zip indirectly imply that

that

that losing our boys is equal to losing our

losing our boys is equal to losing our

losing our boys is equal to losing our identity so here I want to show you one

identity so here I want to show you one

identity so here I want to show you one of the video clip which I depicted from

of the video clip which I depicted from

of the video clip which I depicted from a movie maybe spend years ago let’s have

a movie maybe spend years ago let’s have

a movie maybe spend years ago let’s have a look

we dis slowly read it pleasure

we dis slowly read it pleasure Busby’s company is what I most enjoy but

Busby’s company is what I most enjoy but

Busby’s company is what I most enjoy but attack on Missy Anne sees chair when she

attack on Missy Anne sees chair when she

attack on Missy Anne sees chair when she called him a horrible boy

called him a horrible boy

called him a horrible boy in a lot of fun let’s bring into the

in a lot of fun let’s bring into the

in a lot of fun let’s bring into the kitchens across the

kitchens across the

kitchens across the common schemes to reveal

common schemes to reveal

common schemes to reveal [Music]

copy the guards eyes way don’t you late

copy the guards eyes way don’t you late for that

for that

for that [Music]

[Music]

[Music] everything is not alright for semester

everything is not alright for semester

everything is not alright for semester still compiling

still compiling

still compiling [Music]

Suzanne’s a movie

Suzanne’s a movie [Music]

okay so now can you actually get what

okay so now can you actually get what the agent is actually doing first it

the agent is actually doing first it

the agent is actually doing first it forced this divorce the guy in order to

forced this divorce the guy in order to

forced this divorce the guy in order to speak some words in order to capture the

speak some words in order to capture the

speak some words in order to capture the voice characteristic and features and

voice characteristic and features and

voice characteristic and features and then the agent can use the recording to

then the agent can use the recording to

then the agent can use the recording to quickly train a talking machine in order

quickly train a talking machine in order

quickly train a talking machine in order to talk using his voice

to talk using his voice

to talk using his voice tenders back this technology is look

tenders back this technology is look

tenders back this technology is look incredibly advanced and impossible but

incredibly advanced and impossible but

incredibly advanced and impossible but now a day it has been realized

now a day it has been realized

now a day it has been realized under the effort of Center of speech

under the effort of Center of speech

under the effort of Center of speech technology research from the University

technology research from the University

technology research from the University of Edinburgh which I firmly attached to

of Edinburgh which I firmly attached to

of Edinburgh which I firmly attached to so the name of this technology is called

so the name of this technology is called

so the name of this technology is called hidden Markov models each delicious

hidden Markov models each delicious

hidden Markov models each delicious system this is a system which is able to

system this is a system which is able to

system this is a system which is able to speak whatever language in order you

speak whatever language in order you

speak whatever language in order you give the correct input when people talk

give the correct input when people talk

give the correct input when people talk about speech synthesis system they will

about speech synthesis system they will

about speech synthesis system they will think that this is a playback from our

think that this is a playback from our

think that this is a playback from our recording however this is not a playback

recording however this is not a playback

recording however this is not a playback play by having a limitation which is it

play by having a limitation which is it

play by having a limitation which is it is only able to speak the recorded video

is only able to speak the recorded video

is only able to speak the recorded video and will be coded database but with this

and will be coded database but with this

and will be coded database but with this system it is actually using our recorded

system it is actually using our recorded

system it is actually using our recorded voice characteristic in order to

voice characteristic in order to

voice characteristic in order to construct an ill and novel words so

construct an ill and novel words so

construct an ill and novel words so let’s take a look of how does it work

let’s take a look of how does it work

let’s take a look of how does it work this is our voice speech waveform even

this is our voice speech waveform even

this is our voice speech waveform even though it looks like a super messy and

though it looks like a super messy and

though it looks like a super messy and complicated with combination but if we

complicated with combination but if we

complicated with combination but if we take a look using a magnifier or

take a look using a magnifier or

take a look using a magnifier or microscope we can actually see the

microscope we can actually see the

microscope we can actually see the constant styling units we have a minimum

constant styling units we have a minimum

constant styling units we have a minimum time frame so this constant starting

time frame so this constant starting

time frame so this constant starting unit is called funny

so this is California so this folio is

so this is California so this folio is actually the basic basics language unit

actually the basic basics language unit

actually the basic basics language unit in every language so taking English as

in every language so taking English as

in every language so taking English as an example our basic unit conceded to

an example our basic unit conceded to

an example our basic unit conceded to this morning is actually our alphabet so

this morning is actually our alphabet so

this morning is actually our alphabet so one good thing about the alphabet is

one good thing about the alphabet is

one good thing about the alphabet is each alphabet only consists of a

each alphabet only consists of a

each alphabet only consists of a constant starting unit only so let’s

constant starting unit only so let’s

constant starting unit only so let’s take a look with this implementation we

take a look with this implementation we

take a look with this implementation we can easily blend them into the hidden

can easily blend them into the hidden

can easily blend them into the hidden Markov model that I have mentioned

Markov model that I have mentioned

Markov model that I have mentioned earlier but what is the hidden Markov

earlier but what is the hidden Markov

earlier but what is the hidden Markov model hidden Markov model is actually a

model hidden Markov model is actually a

model hidden Markov model is actually a finite state machine which is able to

finite state machine which is able to

finite state machine which is able to change to generate a situation discrete

change to generate a situation discrete

change to generate a situation discrete time of the nation throughout the time

time of the nation throughout the time

time of the nation throughout the time so when the each time unit has passed it

so when the each time unit has passed it

so when the each time unit has passed it will change the state according to the

will change the state according to the

will change the state according to the state transition probability so meaning

state transition probability so meaning

state transition probability so meaning that the probability to stay we did in

that the probability to stay we did in

that the probability to stay we did in the state or chunk into the next state

the state or chunk into the next state

the state or chunk into the next state can be actually trained by us by giving

can be actually trained by us by giving

can be actually trained by us by giving the current input so how does this edit

the current input so how does this edit

the current input so how does this edit Markov model helps in speech synthesis

Markov model helps in speech synthesis

Markov model helps in speech synthesis we can actually imagine each model is

we can actually imagine each model is

we can actually imagine each model is actually a baby

actually a baby

actually a baby but why baby because we don’t teach may

but why baby because we don’t teach may

but why baby because we don’t teach may be difficult things we only teach it

be difficult things we only teach it

be difficult things we only teach it baby still awaits so that is the reason

baby still awaits so that is the reason

baby still awaits so that is the reason in each model we only train with only

in each model we only train with only

in each model we only train with only one alphabet so let’s take the

one alphabet so let’s take the

one alphabet so let’s take the perspective in an overall so if you want

perspective in an overall so if you want

perspective in an overall so if you want to synthesize the words that we want to

to synthesize the words that we want to

to synthesize the words that we want to say firstly we have to construct the

say firstly we have to construct the

say firstly we have to construct the words using the alphabet and then these

words using the alphabet and then these

words using the alphabet and then these alphabets will hence being match with

alphabets will hence being match with

alphabets will hence being match with the corresponding hidden Markov models

the corresponding hidden Markov models

the corresponding hidden Markov models and this hidden Markov models will

and this hidden Markov models will

and this hidden Markov models will release the constants starting the study

release the constants starting the study

release the constants starting the study coefficient and when we put them all

coefficient and when we put them all

coefficient and when we put them all together in a sequence and make that

together in a sequence and make that

together in a sequence and make that speech together this sequential study is

speech together this sequential study is

speech together this sequential study is actually made up our speech so now we

actually made up our speech so now we

actually made up our speech so now we understand how does this work but our

understand how does this work but our

understand how does this work but our next problem is does it exactly sound

next problem is does it exactly sound

next problem is does it exactly sound like what we wish for our student voice

like what we wish for our student voice

like what we wish for our student voice should have a

should have a

should have a Kuras the Esper so let’s take a pop quiz

Kuras the Esper so let’s take a pop quiz

Kuras the Esper so let’s take a pop quiz I prepared puppies for all of you can

I prepared puppies for all of you can

I prepared puppies for all of you can anybody exactly pronounce these tourists

anybody exactly pronounce these tourists

anybody exactly pronounce these tourists correctly without any problem

correctly without any problem

correctly without any problem so the first word is called prepare but

so the first word is called prepare but

so the first word is called prepare but the second word is called preparation

the second word is called preparation

the second word is called preparation what’s the difference the difference is

what’s the difference the difference is

what’s the difference the difference is the first e is started differently when

the first e is started differently when

the first e is started differently when they were put in a different world

they were put in a different world

they were put in a different world so we as the human we can easily

so we as the human we can easily

so we as the human we can easily distinguish the difference

distinguish the difference

distinguish the difference but how can our target machine to speak

but how can our target machine to speak

but how can our target machine to speak the difference so in order to maintain

the difference so in order to maintain

the difference so in order to maintain accuracy we have incorporated artificial

accuracy we have incorporated artificial

accuracy we have incorporated artificial intelligence in order to classify

intelligence in order to classify

intelligence in order to classify different pronunciation our division

different pronunciation our division

different pronunciation our division intelligence requires our classifiers in

intelligence requires our classifiers in

intelligence requires our classifiers in order to tell the difference and also

order to tell the difference and also

order to tell the difference and also make the decision so we have to find out

make the decision so we have to find out

make the decision so we have to find out a way in order to see what is the

a way in order to see what is the

a way in order to see what is the difference between the words in a

difference between the words in a

difference between the words in a simplest thing we can actually make used

simplest thing we can actually make used

simplest thing we can actually make used the words combination in order to make

the words combination in order to make

the words combination in order to make the classifier so look at the words look

the classifier so look at the words look

the classifier so look at the words look at the letter around a bit they can

at the letter around a bit they can

at the letter around a bit they can easily become our classifiers so

easily become our classifiers so

easily become our classifiers so therefore with this implementation our

therefore with this implementation our

therefore with this implementation our artificial intelligence is able to

artificial intelligence is able to

artificial intelligence is able to improve our student experience of the

improve our student experience of the

improve our student experience of the intelligence so this speech to the SIS

intelligence so this speech to the SIS

intelligence so this speech to the SIS system can actually do what we can

system can actually do what we can

system can actually do what we can affect the researchers never stopped

affect the researchers never stopped

affect the researchers never stopped after develop this program the strongly

after develop this program the strongly

after develop this program the strongly believe that our voice is actually

believe that our voice is actually

believe that our voice is actually carrying more than our stuff so here I

carrying more than our stuff so here I

carrying more than our stuff so here I wanted to introduce to you a big

wanted to introduce to you a big

wanted to introduce to you a big voluntary project which is called speak

voluntary project which is called speak

voluntary project which is called speak unique this is a multidisciplinary done

unique this is a multidisciplinary done

unique this is a multidisciplinary done by the University of Umbra and also the

by the University of Umbra and also the

by the University of Umbra and also the Ian McDonald Centre for motor neuron

Ian McDonald Centre for motor neuron

Ian McDonald Centre for motor neuron disease research what they do is

disease research what they do is

disease research what they do is basically to create a personalized

basically to create a personalized

basically to create a personalized digital voice for communication it

digital voice for communication it

digital voice for communication it simply and effectively the motivation

simply and effectively the motivation

simply and effectively the motivation behind this project is with our speech

behind this project is with our speech

behind this project is with our speech become in

become in

become in we tends to use the augmentative and

we tends to use the augmentative and

we tends to use the augmentative and alternative communication in order to

alternative communication in order to

alternative communication in order to get our message across this approach can

get our message across this approach can

get our message across this approach can range from a simple strategies such as

range from a simple strategies such as

range from a simple strategies such as our gestures or any voice output

our gestures or any voice output

our gestures or any voice output communication aids in order to project

communication aids in order to project

communication aids in order to project the synthetic speech however many users

the synthetic speech however many users

the synthetic speech however many users complain that this kind of synthetic

complain that this kind of synthetic

complain that this kind of synthetic speech doesn’t really reflect their

speech doesn’t really reflect their

speech doesn’t really reflect their identity and they were forced to choose

identity and they were forced to choose

identity and they were forced to choose only from a limited section of voices

only from a limited section of voices

only from a limited section of voices which only maybe one or two is come from

which only maybe one or two is come from

which only maybe one or two is come from the same country it may never be

the same country it may never be

the same country it may never be occurred to you previously but our

occurred to you previously but our

occurred to you previously but our speech is actually as unique as our work

speech is actually as unique as our work

speech is actually as unique as our work as our eyes or even our fingerprint our

as our eyes or even our fingerprint our

as our eyes or even our fingerprint our voice is the basic component in order to

voice is the basic component in order to

voice is the basic component in order to build our image and our identity so what

build our image and our identity so what

build our image and our identity so what they are actively doing is the voice

they are actively doing is the voice

they are actively doing is the voice banking so voice banking is a project

banking so voice banking is a project

banking so voice banking is a project which is they will collect a lot of

which is they will collect a lot of

which is they will collect a lot of different voice samples around the club

different voice samples around the club

different voice samples around the club because they want to use the voice in

because they want to use the voice in

because they want to use the voice in order to make a collection of data

order to make a collection of data

order to make a collection of data collection and in order to have this

collection and in order to have this

collection and in order to have this project voice banking can actually have

project voice banking can actually have

project voice banking can actually have two ways

two ways

two ways so first if you are first seeing you are

so first if you are first seeing you are

so first if you are first seeing you are going to lose your voice in future where

going to lose your voice in future where

going to lose your voice in future where I hope it will not happen so you can

I hope it will not happen so you can

I hope it will not happen so you can actually make a voice banking in order

actually make a voice banking in order

actually make a voice banking in order to let them customize a voice back a

to let them customize a voice back a

to let them customize a voice back a talking machine using your own voice

talking machine using your own voice

talking machine using your own voice however the second approach it can be we

however the second approach it can be we

however the second approach it can be we can actually merge different voices in

can actually merge different voices in

can actually merge different voices in order to create to customize your

order to create to customize your

order to create to customize your personalized voice in order to speak

personalized voice in order to speak

personalized voice in order to speak something about your voice so therefore

something about your voice so therefore

something about your voice so therefore here I mean this idea let me show you a

here I mean this idea let me show you a

here I mean this idea let me show you a successful case about how this Speak

successful case about how this Speak

successful case about how this Speak unique project successfully have a

unique project successfully have a

unique project successfully have a prison in order to regain the box

I’m a student at Edinburgh University

I’m a student at Edinburgh University where I studied wrong so now can you see

where I studied wrong so now can you see

where I studied wrong so now can you see the hardship for those who are unable to

the hardship for those who are unable to

the hardship for those who are unable to speak in order to articulate to begin

speak in order to articulate to begin

speak in order to articulate to begin this is not easy so we as the healthy

this is not easy so we as the healthy

this is not easy so we as the healthy people we have a healthy voice should be

people we have a healthy voice should be

people we have a healthy voice should be always grateful of what we have we

always grateful of what we have we

always grateful of what we have we should always watch our words because we

should always watch our words because we

should always watch our words because we are not being even a voice to hurt

are not being even a voice to hurt

are not being even a voice to hurt people but if they want to do more you

people but if they want to do more you

people but if they want to do more you can actually sign up to become a voice

can actually sign up to become a voice

can actually sign up to become a voice donor in order to contribute to the

donor in order to contribute to the

donor in order to contribute to the speech unit project your voice could

speech unit project your voice could

speech unit project your voice could actually have so now why are we trying

actually have so now why are we trying

actually have so now why are we trying that hard in order to help you to regain

that hard in order to help you to regain

that hard in order to help you to regain your voice we have a lot of different

your voice we have a lot of different

your voice we have a lot of different approaches in order to get our message

approaches in order to get our message

approaches in order to get our message around losing our voice does not mean

around losing our voice does not mean

around losing our voice does not mean that is the end of the world right

that is the end of the world right

that is the end of the world right however the reason behind is even don’t

however the reason behind is even don’t

however the reason behind is even don’t know today we have a lot of different

know today we have a lot of different

know today we have a lot of different approach to deliver your message but

approach to deliver your message but

approach to deliver your message but sometimes we still wish to feel the love

sometimes we still wish to feel the love

sometimes we still wish to feel the love even though our eyes are closed and

even though our eyes are closed and

even though our eyes are closed and that’s all I want to share and thank you

that’s all I want to share and thank you

that’s all I want to share and thank you for letting your ears thank you

for letting your ears thank you

for letting your ears thank you [Applause]

”

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