have a we all my name on the know

i do right to well the of the initial model control whole

generalized

sidelobe canceller based

speech in is not

i i'm going to spray might talking to

for parts

or

oh i one wanna

well starts by explaining the

is spring that you S C and

at a M I and

oh it's do that i use that is

the proposed amc

for each

i

the duration of arrival or based the or

but to to a lower of channel mean type type to montana hundred much a

estimation um

oh is explored

and

the a target directional speech of cells of progress

probability estimation used also explored

and

the pipe parents

oh

the proposed algorithm we use the at mean in and i use summarised to my study

or

are sent to a much channel based the speech enhancement

oh approach is a a cut to as three into these i i've pass

oh pimp or yeah well

yes this

and masking approach you and class are and but china

the the pretend

i

or or other than oh

in he's he's a nineteen is a pretty issue need up over there

oh

by P

that's to or approaching proteins

a plus the in

this part

so

so this is she or

in

compares the two or picks the problem

and other the meant to use and those can signal

oh at at bit proof of peaks from calm uh a a at the bit

or for a as

that takes that in

in the type

to options so that

no that or so as you can also so to obtain a at to and

in contrast

let look and products

but i don't

to noise show can us so that

whole

not have

to a chance of the nose

mean that a collection can thus

oh can pass through

and

my a cancer that generates

but you know as good at the processing and that's it's probably a and it be a map of signals

so

yeah

use uh

oh you do one

and and don't was set

but the lead to by reason is

for a two

in the uh yeah and and C

or

the main problem yeah but to a solution you is

or

how do it

to a show together or

well

oh have a to assess about special

um

especially uh

but

and they should have had attention

mission as you do a petition that's gonna come from that scene everybody a

oh to give us performance so

use

a just a C P

is that there is just a touch and others

come to

the

get that processing that it would be have and the S C

i i have to the do it's again a to been to both

so that was assume is cut can this to time

uh

hi but this stone and so that the is a

uh how the addition is

there's is um

oh have that

how that sparse component is for me not be it's clear to be in a not so

how this is for about a

the

yeah yeah

sure is

so that have a nice

how a decision based M C

a

and to that and is the based them to do and

where the a should be can target

and there's a clear

in from us

yeah a separate this is based on the

how much the time the speech energy is included in the in

to have yeah

a time-frequency bin

so

it's separate addition for this

the

in the where the tears yeah it's important to to run

a a no some put additional approach

is user

it to as

that kind of

speech

that's that's is as probabilities

so this so that a

this so that the shows

or or i or proposed to sort additionally am

oh and i to the conventional or and a she or

in i

a the area she

or of a probability a

but

the clutter probability in

improved the you a cancer uh and

i have a the probability is improve that you know

i the can the kinetics

uh

they have a that

for a a point of high and of the probability use the plan to ask a product of

or require a and clear

but known at least

in our study

so

so missed stats

or

you start from to help the is

or

that this thing is

no permutation of components

and

this and is kind of the components so

yeah nice to have but is time

to have to a

you can try

the

i do to action a speech to has i could mean have to that

and

for um

that

oh like or you the ratio that we can obtain the core in a probability so i could be

a

meaning to i don't tuition are

components

at that we we need to estimate the perry so the kind of all components in target directional components so

the estimation process to use of i could do this

the you venture

uh a can have that the

i

uh

a from a uh had a a a for a to have a use that to probably for the reliable

estimate of to

and it to action a speech of or pretty probabilities

uh

this parameter one

look at this power but that uh

use the pin show is have that

direction or

to not how to a directional components

uh

no

do a tune and tied it to show that component

issue

oh

is is use the can show you that's and clear that or a word special a

information

so

hmmm

in prayer

you improved to

and an additional uh a no

by incorporating a

but you it is gonna press

to

T that estimate

oh i could do this is up where this is opposed to the scope was to plano

the million

you

to

estimate the the of us to have an estimate

so that stats

most type

a problem

the to been can extract to this that to go

but channel in from up to

so this is that in problems

storage to a problem

a this that so we can

i right

that pimp and the estimates condition

oh

this to me yes

but it it about the function to

improvements the

the the data base

you see creation use

uh

can be you to this

or

at this occasion

so we can try to the

oh

you can do that to knots compunction to be formers

right could these

do you do this you can and me

can can it

had to H are not you know a so and there's a comparison like this

uh of that kind of direction and that's fashion

and me yes

oh to the for mapping

and can promote

and for the image compression

we you use spread phonetics

so

me

obtain a the hundred to actually

sure

that's component yeah

and i don't need to completion

or like this

so you know to that i to two action and is the can question we

can you

we can obtain the approximate but that approximately the but don't know the kind of direction ah

and of to the now and then by the collection of components like but these

the

that's can is applied to a

yeah wrapper as channel signal signals

so you doing this

these approximately do

which signals maybe

obtained

with the

a close to can a one channels

i could be a

the

the corpus to the can only

uh

but a it's somewhere else to the just to

to to has a function like these

so so if i in it can obtain

or

a post so it an i by averaging the value

a

up to a poor

um

a to a like open or E

C send to per cent you may take to balance space

use is constructed

you know a you might amounts

and speech and energy G uh from we could do

and

actually mixed need of

the purpose in on it

a you prepared the

to additional provisions for the performance comparison of you

no you reduction in every and i and the of china evaluation of speech quality or

for the had a dish ten

that of

to as you can interval was may now to detect key

and

for about a conventional a separate the decisions are we

for a

i pitch

you know

a in the

let ones

paper

yeah

uh proposed the

what this is a message

so

C so is a noisy signal

yeah

it is quite a and it means all the white house

is

okay

but

and

uh uh of the decision

but

a

yeah

proposed

so we show

but

and and in the menu or lead the T

is that have the least still

it just the that runs

yeah

so

no you reduction and propose

evaluation

oh about

the uh and that the noise reduction was used to compare just signal of that just not just gonna of

new the than a discussion

the

in the

yes

or this proposed the

or

approach

or

have a that's sure

and it has

that the performance

that are our results

or was so in that every test in uh

or pulse

or our proposed approach

uh compared the performance

to

then you only had a distant and

and the parents then

conduct of the addition

and

this an issue

the pesq can has

yeah

the proposed that amc a

oh

has

or better performance

or compare with people most than the other

oh yeah

commissioner soap addition am C

so in conclusion in conclusion

a a plus to a to do this the post to train a was

in this can improve the reliability here

oh a lot of at time

to the city P S

and

however i have a the problem

a decision is was to

yeah i in she maybe yeah

and can of up to this show

okay i that further the to use in providing that and see no it has a consumer

so

it that's shown per the performance

compares them using pesq a and a every scenario

uh uh uh uh that

i for for the was this time to

but from better than

that

conventional

a a a a a to see this

you

thank you very much

i and a questions comments

from the audience

yes please

a a is a microphone here

i

yeah i wanted to ask "'em" your own experiments in the car

it was it did some quite good but you played that the and what i would be interested if you

make different experiments with those will then windows can would

in on and you know file be on one P um and things like that i mean

but that but it but that you try to do that at the critical points of work

oh of of your to the menu been dealing with the in situation

a a a a uh i just the can the noise

the

maybe stay or noise

problem

"'cause" to system

so does it mean that the engine was not one to two

yes i think and

that kind of sees

oh

is

i you the from that of conventional we know

two

i see one

and you

so and how many microphones yeah yeah for this application

well

and and microphones that we have there

how many might microphones

the

do you okay yeah i'll to for the simulations right yes

okay

more comments

quest

so do you expect this in a performance if you have and the noise uh a non stationary noise so

is like the windows or man in exact or

you expect a similar performance then

one

but uh what kind of a do you expect if you have a non-stationary noise or is like you are

the windows close the windows

i i engine noise exactly

two

oh

i se and do you expect a and that performance or do you a a change algorithm if you have

a

and noise that it it is just had a yes

i i i expect this similar performance

or or or all kinds of noise

okay

okay