but the way as in addition on a big the or at the moment variable

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please call per week the nist model or something

presentational by a discussion of speech data or regression

then twenty thousand eleven a short almost is ugly but also a unity it will

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estimate of the system finally

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the baseline system and the other site by d

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and are the natural just you know speech

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as an actual speech


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honest you know

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has basically three aspects lately ready one

environment according to one

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i quality that all speaker b

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then the recording device and as a speakers characteristics

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jane speech

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in the differences between genuine and it


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most of the day

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because of illegal immigrants

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characteristics of gonna the phone

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we'll have more stands opinion is

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concentrate on a weekly

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the initial requires the basis accent but instead of discontent signal x and then it's

previous that unveiling something minus one

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we find that it is your data in the next experiment and minus one in

so that you and then because of this on the amount of structured utilizes the

desire was

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in boston immediate future in the presence

however within a is actually an actual speech signal catches the dependencies

in the signal is also has a signal and these different independent signal is not

a lie i can be your like having something minus one or the u v


well in the context of speech production and perception we know little or no control

recognition and i for this

no one she

so mostly for something or an introduction cognition perception

well whatever you want to thank you speech

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okay statistics of the natural speech we also exploit a pu you know if available

in one

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excluding and less time based on and

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one is in this because it captures of bananas yours was

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so this is and everything the

we begin this is the pu and this is that it wouldn't exist


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in this isn't the video games or two

it is because there isn't dependency structure because of the pu for these kinds of

and in this case

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we can see that you also used the described next sure you domain and then

a justice of you in the netherlands

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c basically women because not more

that is used in these easy we have an input speech

preemphasis problem and yet been investigated the and then be cleaning everything more than fifty

one from a nation

so miserably you'll be explained remedial the reason is there anyone you know

well actually better sticks all basically and dependencies and sequence of both genders speech and

then how did better than the

there is a question that only

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so for example this is the

two can assume one all basically the speech

you know various acoustic and one that we discuss they can control spending analysis and

can see that the view point has got the ones which we discuss not be

a and b

their ability to just really the speech forty one

the final and one

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"'cause" there's not as is that in the component other

was is trained using that as convolutional physically

impulse response will be these the resulting was it is obvious cases of this

all signals are inverse discrete cosine and sinus

that is themselves layers

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and weddings an option

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the there's characteristics within that will use in which their children adaptation transforms used by

one morning or anything they're also that also for the natural speech in the u

a visiting then more only

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that it almost

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than one indicating in the morning shows that are running and you changed

speech production that which should also direct relation

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for this

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actual speech and hence we consider this s


better a discriminative you

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and b a value in the pca projection

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used for the natural and you than the one of the financial speech and

but in order to utilize probability speech and that or distinctions this

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batteries but this in figure you're to be figure in the world melodies

for spectral

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ten miliseconds each other ones for an s and h

we can see clearly there at the start with just here in both cases are

lower there are one get better result shows you are working together and it is

features really able to see what


and high resolution of formant structure an overall distortion

one an active speech

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can be captured but only

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during speech

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values of an index that is

well human speech

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a ribbons in next

thus the phone recognition as well

and then be seen that are really

we see their four one and can see that for the various different as in

this distribution as producing features and testing a each altogether as it is there is

measured for different values of you

a one different messages consider

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for that this is the t i one

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is longer than surrounding wasn't two database

and it is that you one i in this work you the initial search

and in experiment is a little difference you the

these are not i logistic thing and assisting different no matter just like

for each of these features are going fourteen on the cross gender engine is varying

from one twenty thirty nine ninety

the motivation z-norm mixture component gmms okay and ninety five one

and we use basically different ones

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you can see that basically

and anything that's

forty eight was the one they but it is my final and basically we consider

forty eight to five they are used for six point five significant and is a

twenty five percent

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this experiment

and this is basically the

locatable score retire fungus you gmm and was you sure well based on all distributions

of the solutions

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you forty eight one

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features we can

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but with features it also captures complementary information

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and then we also show the performance using a detection error tradeoff curve so we

can also they're the performance of the det calls for a way to one this

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and this is an existing data for me from clean the proposed features and screams


and similar training actually almost or with

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the decision features

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physically model issues

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so that reducing the problem first final one is okay

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characteristics like benefit

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three one and you'll be playing on the only problem

a message in which

so we can see their this is the sum of implementation and fast implementation and

they are very real distinct and is a weighting

involve a harmonic structure is or

in an actual speech but there is no result obviously

you need for

this is definitely a cost you difference between the natural and the


finally we evaluated the sickly

using this costings you can see that

the views different contributions like environment acoustic environment that voice recording ways

and we can see their own but for the proposed features to meet is even

da was to find the list equal and

existing we just like dimensions using consisting and

so this is showing me for an answer was you just on different conditions

find it was always in this work we take your batteries exploiting question

the idea was features to d c you know okay the menu

movies easy and everything but

and this is only on better for different decomposition of a controversial but was not

affected by the owners of different one

number of channels but she was adamant use this for most beneficial for the two


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we should definitely a landing on the nist is immensely challenging

things as well

with this knowledge yet results using line data and in as you gonna condition a

one time someone colours audio research

we also kind of the organisers of recognition workshop twenty and challenges of this is

what we also want to challenge

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indeed it was made available but not from in this experiment be

sarcastically meaningful system not

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on the phone and h