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1
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
:
2
5
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2
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4
7
52
In
d
o
n
esian
J
E
lec
E
n
g
&
C
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m
p
Sci
,
Vo
l.
3
6
,
No
.
2
,
No
v
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b
er
20
24
:
9
3
3
-
9
4
1
934
T
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b
tr
ac
tio
n
m
eth
o
d
.
T
h
e
s
p
ec
tr
u
m
o
f
m
ag
n
itu
d
e
of
th
e
clea
r
s
p
ee
ch
s
ig
n
al
is
esti
m
ated
b
y
s
u
b
tr
ac
tin
g
t
h
e
esti
m
ated
n
o
is
e
s
p
ee
ch
s
ig
n
al
f
r
o
m
th
e
n
o
is
y
s
p
ee
ch
s
ig
n
al.
B
y
an
aly
zin
g
th
e
s
ig
n
al
d
u
r
in
g
n
o
n
-
s
p
ee
ch
s
ig
n
al
ac
tiv
ity
,
an
esti
m
ate
o
f
th
e
n
o
is
e's
m
ag
n
itu
d
e
s
p
ec
tr
u
m
is
m
ad
e
.
Oth
er
tech
n
iq
u
es
ar
e
em
p
l
o
y
ed
t
o
elim
i
n
ate
an
y
r
em
ain
i
n
g
n
o
is
e
ca
u
s
ed
b
y
th
e
s
p
ec
tr
al
s
u
b
tr
ac
tio
n
m
et
h
o
d
.
T
h
e
m
eth
o
d
s
ar
e
h
alf
wav
e,
m
ag
n
itu
d
e
a
v
er
ag
in
g
a
n
d
r
esid
u
al
n
o
is
e
r
e
d
u
ctio
n
.
L
im
itatio
n
s
:
a
s
s
u
m
p
tio
n
m
a
d
e
th
at
t
h
e
b
ac
k
g
r
o
u
n
d
n
o
is
e
e
n
v
ir
o
n
m
en
t
r
em
ain
s
s
tatio
n
ar
y
wh
ich
is
n
o
t
tr
u
e,
an
d
it g
en
e
r
ates m
u
s
ical
n
o
is
e.
Z
h
en
g
et
a
l.
[
2
]
o
u
tlin
es
th
e
m
eth
o
d
s
f
o
r
g
ettin
g
o
v
e
r
th
e
d
r
awb
ac
k
s
o
f
th
e
c
o
n
v
e
n
tio
n
a
l
s
p
ec
tr
u
m
s
u
b
tr
ac
tio
n
a
p
p
r
o
ac
h
.
T
h
e
ass
u
m
p
tio
n
ex
p
r
ess
ed
in
th
e
s
p
ec
tr
al
s
u
b
tr
ac
tio
n
th
at
th
e
n
o
is
e
is
s
tatio
n
ar
y
is
n
o
t
tr
u
e
in
r
ea
l
tim
e
ap
p
licatio
n
s
,
h
en
ce
it
in
tr
o
d
u
ce
s
m
u
s
ical
n
o
is
e.
T
o
av
o
i
d
th
is
h
er
e
au
th
o
r
h
as
m
o
d
if
ie
d
th
e
b
asic
s
p
ec
tr
al
s
u
b
tr
ac
tio
n
in
t
o
two
f
ac
to
r
s
th
o
s
e
ar
e,
s
u
b
tr
a
ctio
n
f
ac
to
r
o
r
weig
h
tin
g
f
ac
t
o
r
wh
ich
is
u
s
ed
to
er
ad
icate
m
o
s
t
o
f
th
e
b
r
o
ad
b
an
d
n
o
is
e
b
y
r
em
o
v
i
n
g
wid
e
p
ea
k
s
.
An
o
th
er
f
ac
t
o
r
u
s
ed
is
th
e
s
p
ec
tr
al
f
ac
to
r
wh
ich
h
elp
s
in
elim
in
atin
g
t
h
e
m
u
s
ical
n
o
is
e
p
er
ce
iv
e
d
d
u
r
in
g
th
e
p
r
o
ce
s
s
.
Me
r
its
:
t
h
e
p
r
o
p
o
s
ed
m
eth
o
d
r
em
o
v
es
a
d
d
ed
b
r
o
ad
b
an
d
n
o
is
e
as
well
as
th
e
m
u
s
ica
l
n
o
is
e
s
ig
n
al
g
en
er
ate
d
b
y
th
e
b
asic
s
p
ec
tr
al
s
u
b
tr
ac
tio
n
ap
p
r
o
ac
h
.
Sp
ec
tr
a
l
s
u
b
tr
ac
tio
n
f
ac
to
r
m
ain
ly
d
e
p
en
d
s
o
n
th
e
s
ig
n
al
to
n
o
is
e
r
atio
(
SNR
)
v
alu
e;
h
en
ce
t
h
e
m
et
h
o
d
is
ad
a
p
tiv
e
in
n
atu
r
e.
L
i
m
itatio
n
s
:
t
h
e
e
f
f
i
cien
cy
o
f
t
h
e
r
ec
o
m
m
e
n
d
ed
m
eth
o
d
is
d
ep
e
n
d
en
t
o
n
th
e
d
ec
is
io
n
o
f
t
h
e
s
u
b
tr
ac
t
io
n
f
ac
to
r
an
d
t
h
e
f
lo
o
r
f
ac
to
r
.
T
o
y
in
et
a
l.
[
3
]
ex
p
lain
s
th
e
m
eth
o
d
u
s
ed
to
en
h
a
n
ce
th
e
n
o
is
y
s
p
ee
ch
s
ig
n
al,
s
h
o
r
t
d
u
r
atio
n
n
o
n
-
s
tatio
n
ar
y
s
ig
n
al,
co
r
r
u
p
te
d
b
y
th
e
b
r
o
ad
b
a
n
d
n
o
is
e
p
r
o
p
o
s
ed
ap
p
r
o
ac
h
is
“a
d
ap
tiv
e
wien
er
f
ilter
”
wh
er
e
s
p
ec
tr
al
esti
m
ate
o
f
th
e
p
r
e
v
io
u
s
f
r
am
es
ar
e
u
s
ed
to
f
in
d
th
e
s
p
ec
tr
al
esti
m
ate
o
f
th
e
cu
r
r
en
t
f
r
am
e
a
n
d
s
p
ec
tr
al
esti
m
ate
o
f
th
e
cu
r
r
en
t
f
r
am
e
is
u
s
ed
to
u
p
d
ate
t
h
e
c
o
ef
f
icien
ts
o
f
th
e
wien
er
f
ilter
o
n
p
r
e
v
io
u
s
f
r
am
e.
T
h
is
m
eth
o
d
is
f
o
llo
wed
b
y
s
p
ec
tr
al
s
m
o
o
th
in
g
,
w
h
ich
is
p
er
f
o
r
m
e
d
b
ased
o
n
t
h
e
s
p
e
ctr
al
ch
an
g
e.
Sli
g
h
t
t
em
p
o
r
al
s
m
o
o
th
in
g
is
ap
p
lie
d
f
o
r
th
e
f
ast
s
p
ec
tr
al
ch
an
g
es
an
d
s
lig
h
t
te
m
p
o
r
al
,
w
h
en
th
e
s
p
ec
tr
al
ch
an
g
e
is
f
ast,
am
o
u
n
t
o
f
th
e
s
m
o
o
th
in
g
is
in
cr
ea
s
ed
wh
e
n
s
p
ec
tr
al
c
h
an
g
e
is
v
e
r
y
s
lo
w.
Me
r
its
:
t
h
e
ad
ap
tiv
e
n
atu
r
e
o
f
th
e
p
r
o
p
o
s
ed
m
eth
o
d
h
as
b
ee
n
in
cr
ea
s
ed
b
y
u
s
in
g
s
p
ec
tr
al
c
h
an
g
es
to
u
p
d
ate
co
ef
f
icien
ts
o
f
th
e
wien
er
f
ilter
.
L
im
itatio
n
s
:
t
h
is
m
eth
o
d
in
tr
o
d
u
ce
s
m
u
s
ical
n
o
is
e
as we
ll a
s
th
e
en
h
a
n
ce
s
ig
n
al
is
s
lig
h
t d
u
ll.
Z
h
en
g
et
a
l.
[
4
]
aim
s
at
r
ed
u
ci
n
g
t
h
e
m
u
s
ical
n
o
is
e
g
e
n
er
ated
b
y
s
p
ec
tr
al
s
u
b
tr
ac
tio
n
m
eth
o
d
.
Pro
p
o
s
ed
m
eth
o
d
in
v
o
lv
es
“wie
n
er
f
ilter
in
g
”
an
d
“wa
v
elet
p
ac
k
et
d
ec
o
m
p
o
s
itio
n
”.
E
n
h
an
ce
d
s
ig
n
al
is
d
iv
id
ed
b
ased
o
n
wav
elet
p
ac
k
et
d
ec
o
m
p
o
s
itio
n
m
eth
o
d
.
Po
wer
s
p
ec
tr
al
d
en
s
ity
o
f
t
h
e
wav
elet
p
a
c
k
et
co
ef
f
icien
ts
is
f
ilter
ed
b
y
wien
er
f
ilter
in
g
m
eth
o
d
.
I
t
is
o
b
s
er
v
ed
th
at
m
u
s
ical
n
o
is
e
is
p
lace
d
in
a
m
o
r
e
d
etailed
m
an
n
er
as
co
ef
f
icien
ts
.
So
,
th
e
s
p
ec
tr
u
m
s
u
b
tr
a
ctio
n
m
eth
o
d
'
s
p
r
o
d
u
ctio
n
o
f
m
u
s
ical
n
o
is
e
is
d
ec
r
ea
s
es
.
Me
r
its
:
t
h
e
q
u
ality
o
f
m
u
s
ical
n
o
is
e
is
d
r
asti
ca
lly
r
ed
u
ce
d
with
o
u
t a
f
f
ec
tin
g
th
e
in
tellig
ib
ilit
y
o
f
th
e
s
p
ee
ch
.
L
im
itatio
n
s
:
q
u
ality
o
f
clea
n
s
p
ee
c
h
is
d
ep
e
n
d
an
t
th
e
o
n
n
u
m
b
er
o
f
d
e
co
m
p
o
s
itio
n
s
tag
es,
f
o
r
im
p
r
o
v
e
t
h
e
q
u
ality
we
h
av
e
t
o
in
cr
ea
s
e
n
u
m
b
er
o
f
d
ec
o
m
p
o
s
itio
n
s
tag
es.
Das
et
a
l
.
[
5
]
p
r
esen
ted
th
e
n
ec
ess
ar
y
co
r
r
ec
tio
n
to
th
e
f
u
n
d
am
en
tal
s
p
ec
tr
al
s
u
b
tr
ac
tio
n
ap
p
r
o
ac
h
,
th
e
p
r
ed
icate
d
o
n
th
e
co
n
ce
p
t t
h
at
th
e
clea
r
s
p
ee
ch
s
ig
n
al
an
d
th
e
n
o
is
e
s
ig
n
al
d
o
n
'
t c
o
r
r
elat
e.
T
h
er
ef
o
r
e,
n
o
is
e
co
r
r
u
p
te
d
s
p
ee
ch
s
ig
n
al
th
at
h
as
b
ee
n
tain
ted
b
y
n
o
is
e
th
at
is
lin
k
ed
with
th
e
s
p
ee
ch
s
ig
n
a
l
ca
n
b
e
e
n
h
an
ce
d
u
s
in
g
th
e
p
r
o
p
o
s
ed
a
p
p
r
o
ac
h
.
W
e
esti
m
ate
th
e
clea
n
s
p
ee
ch
m
ag
n
itu
d
e
s
p
ec
tr
u
m
b
y
s
u
b
tr
a
ctin
g
an
esti
m
ate
o
f
th
e
cr
o
s
s
-
co
r
r
elatio
n
b
etwe
en
th
e
clea
n
s
p
ee
ch
s
ig
n
al
an
d
th
e
n
o
is
e
s
ig
n
al
af
ter
f
ir
s
t
el
im
in
atin
g
th
e
esti
m
ated
n
o
is
e
s
p
ec
tr
u
m
f
r
o
m
n
o
is
y
s
p
ee
ch
.
I
t
is
n
ec
ess
ar
y
to
f
in
d
th
e
c
r
o
s
s
-
co
r
r
elatio
n
b
etwe
en
n
o
is
e
a
n
d
clea
n
s
p
ee
ch
b
u
t
clea
n
s
p
ee
ch
is
n
o
t
ac
ce
s
s
ed
h
en
ce
a
co
r
r
elatio
n
is
co
m
p
u
ted
b
etwe
en
t
h
e
n
o
is
y
s
p
ee
ch
s
ig
n
al
an
d
n
o
is
e
.
T
h
is
m
eth
o
d
is
f
o
llo
wed
b
y
th
e
“p
er
ce
p
tu
al
weig
h
tin
g
f
u
n
ctio
n
”
t
o
r
ed
u
ce
n
o
is
e
as
well
as
to
im
p
r
o
v
e
th
e
s
p
ee
ch
q
u
ality
.
W
h
er
e
we
ig
h
tin
g
f
u
n
ctio
n
is
co
m
p
u
ted
b
ased
o
n
th
e
p
s
y
ch
o
ac
o
u
s
tics
m
o
d
el.
Me
r
its
:
t
h
is
tech
n
iq
u
e
g
ets
o
v
er
th
e
d
r
aw
b
ac
k
s
o
f
th
e
s
p
ec
tr
u
m
s
u
b
tr
ac
tio
n
m
e
th
o
d
.
,
wh
er
e
it
ca
n
b
e
u
s
ed
f
o
r
r
ea
l
tim
e
ap
p
licatio
n
s
ex
.
,
s
p
ee
ch
co
r
r
u
p
ted
b
y
th
e
c
o
lo
u
r
e
d
n
o
is
e.
L
im
itatio
n
s
:
t
h
e
c
o
m
p
u
tatio
n
o
f
th
e
co
r
r
elatio
n
b
etwe
en
n
o
is
e
an
d
s
p
ee
ch
s
ig
n
al
is
a
len
g
th
y
a
n
d
c
o
m
p
lex
m
eth
o
d
,
w
h
ich
in
tr
o
d
u
ce
s
d
is
to
r
tio
n
.
Hen
ce
t
h
is
m
et
h
o
d
o
n
ly
f
o
cu
s
es o
n
th
e
n
o
is
e
r
ed
u
ctio
n
.
R
o
y
an
d
Paliwal
[
6
]
ad
d
r
ess
es
p
r
o
b
lem
o
f
th
e
b
asic
s
p
ec
tr
al
s
u
b
tr
ac
tio
n
ap
p
r
o
ac
h
,
th
e
f
o
llo
win
g
p
r
esu
p
p
o
s
es th
at
th
e
n
o
is
e
s
ig
n
al
an
d
th
e
p
r
ec
is
e
s
p
ee
ch
s
ig
n
al
ar
e
b
o
th
in
h
er
en
tl
y
s
tatio
n
ar
y
.
B
u
t th
is
m
eth
o
d
f
ails
wh
en
th
e
r
e
is
n
o
n
-
s
tatio
n
ar
ity
p
r
esen
t
in
th
e
an
y
o
f
t
h
e
b
o
th
s
ig
n
als.
T
o
o
v
e
r
co
m
e
th
is
p
r
o
b
lem
th
e
au
th
o
r
m
o
d
elled
th
e
n
o
n
-
s
tatio
n
ar
y
s
ig
n
al
in
to
th
e
s
u
m
o
f
s
in
u
s
o
id
s
k
n
o
wn
as “
to
n
es”,
a
n
d
s
tated
th
at
w
i
n
d
o
w
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
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esian
J
E
lec
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&
C
o
m
p
Sci
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SS
N:
2
5
0
2
-
4
7
52
S
p
ee
ch
e
n
h
a
n
ce
men
t b
y
u
s
in
g
n
o
ve
l m
u
ltib
a
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d
s
p
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tr
a
l su
b
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n
…
(
Ja
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.
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e
n
g
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h
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s
s
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l
e
ct
e
d
b
a
s
e
d
o
n
t
h
e
t
o
n
e
d
u
r
a
t
i
o
n
.
I
n
p
r
o
p
o
s
e
d
w
o
r
k
m
u
l
t
i
p
l
e
s
p
ec
t
r
a
l
s
u
b
t
r
a
ct
i
o
n
s
t
a
g
es
a
r
e
u
s
e
d
w
i
t
h
d
i
f
f
e
r
e
n
t
w
i
n
d
o
w
l
e
n
g
t
h
.
S
u
m
o
f
e
n
h
a
n
c
e
d
s
i
g
n
a
l
f
r
o
m
ea
c
h
s
t
a
g
e
a
r
e
s
u
m
m
e
d
t
o
g
e
t
t
h
e
o
u
t
p
u
t
.
B
o
ll
[
7
]
ex
p
lain
ed
t
h
e
te
ch
n
iq
u
e
f
o
r
m
in
im
izin
g
th
e
a
u
d
ito
r
y
n
o
is
e
p
r
o
d
u
ce
d
b
y
t
h
e
s
p
ec
tr
al
s
u
b
tr
ac
tio
n
m
eth
o
d
.
Pro
p
o
s
ed
m
eth
o
d
h
elp
s
to
en
h
an
ce
th
e
clea
n
s
p
ee
ch
s
ig
n
al
co
r
r
u
p
ted
b
y
th
e
s
tatio
n
ar
y
n
o
is
e.
T
h
is
m
eth
o
d
esti
m
ates th
e
s
p
ec
tr
u
m
o
f
t
h
e
n
o
is
e
b
ette
r
th
an
th
e
b
asic a
v
er
a
g
i
n
g
m
et
h
o
d
.
I
n
th
is
m
eth
o
d
f
is
t sil
en
ce
f
r
am
e
an
d
s
p
ee
ch
f
r
am
e
ar
e
s
ep
ar
ated
b
y
u
s
in
g
b
asic a
n
aly
s
is
f
r
am
e.
Fu
r
th
er
an
aly
s
is
f
r
am
e
len
g
th
is
in
cr
ea
s
ed
till
it
co
v
er
s
all
th
e
s
ilen
t
f
r
am
es.
L
im
itatio
n
s
:
p
r
o
p
o
s
ed
m
eth
o
d
ca
n
b
e
u
s
e
d
o
n
ly
w
h
en
n
o
is
e
ad
d
ed
is
co
n
s
tan
t
h
en
ce
ca
n
n
o
t b
e
u
s
ed
f
o
r
co
lo
u
r
ed
n
o
is
e.
I
n
a
n
y
ty
p
ical
s
p
ee
c
h
e
n
h
an
c
em
en
t
tech
n
iq
u
es
m
e
n
tio
n
ed
i
n
th
e
ab
o
v
e
p
ap
er
s
d
escr
ib
e
th
e
s
p
ee
c
h
s
ig
n
al's
s
m
all
-
tim
e
m
ag
n
itu
d
e
s
p
ec
tr
u
m
,
k
ee
p
in
g
p
h
ase
s
p
ec
tr
u
m
u
n
ch
a
n
g
ed
.
B
u
t
C
h
en
et
a
l.
[
8
]
h
as
co
m
b
in
ed
b
o
t
h
ch
a
n
g
ed
m
ag
n
itu
d
e
an
d
p
h
ase
s
p
ec
tr
u
m
af
te
r
th
e
e
n
h
an
ce
m
en
t
to
f
o
r
m
th
e
m
o
d
if
ie
d
co
m
p
lex
s
ig
n
al
s
p
ec
tr
u
m
.
T
h
is
m
eth
o
d
is
ap
p
licab
le
to
th
e
co
n
d
itio
n
s
wh
er
e
s
p
ee
ch
n
o
is
e
en
er
g
y
is
les
s
co
m
p
ar
ed
to
th
e
s
p
ee
ch
en
er
g
y
.
L
im
itatio
n
s
:
th
is
m
eth
o
d
f
ails
wh
en
n
o
is
e
is
n
o
n
-
wh
ite
n
o
is
e
as,
b
ab
b
le
n
o
is
e,
co
lo
u
r
ed
n
o
is
e,
as it in
tr
o
d
u
ce
s
d
is
to
r
tio
n
as we
ll a
s
r
esid
u
al
n
o
is
e.
B
h
ar
ti
et
a
l.
[
9
]
h
as
s
tated
p
r
o
b
lem
o
f
th
e
o
n
e
h
a
v
in
g
s
en
s
o
r
y
-
n
eu
r
al
h
ea
r
in
g
im
p
air
m
e
n
t,
f
ac
in
g
p
r
o
b
lem
in
s
p
ee
ch
p
er
ce
p
tio
n
d
u
e
to
th
e
in
cr
ea
s
ed
in
tr
a
-
s
p
e
ec
h
s
p
ec
tr
al
m
ask
in
g
.
Pro
p
o
s
e
d
m
eth
o
d
in
v
o
lv
es
two
m
eth
o
d
s
,
f
ir
s
t
m
eth
o
d
is
s
p
ec
tr
al
s
u
b
tr
ac
tio
n
m
et
h
o
d
to
s
u
p
p
r
ess
th
e
ex
ter
n
al
n
o
is
e.
Seco
n
d
m
eth
o
d
is
m
u
lti
-
b
an
d
f
r
eq
u
e
n
cy
co
m
p
r
ess
io
n
to
r
ed
u
ce
in
tr
a
-
s
p
ee
ch
m
ask
in
g
.
T
h
e
s
p
ee
ch
s
ig
n
al
'
s
s
p
ec
tr
u
m
in
th
e
m
u
lti
-
b
an
d
f
r
e
q
u
en
c
y
c
o
m
p
r
ess
io
n
tech
n
iq
u
e
is
s
eg
m
en
ted
in
to
b
a
n
d
s
an
d
s
p
ec
tr
al
co
m
p
o
n
en
ts
ar
e
co
m
p
r
ess
ed
at
th
e
ce
n
tr
e
o
f
th
e
f
r
am
e
an
d
co
n
ce
n
tr
ate
t
h
e
s
p
ee
ch
en
er
g
y
in
to
n
ar
r
o
w
b
an
d
s
to
r
ed
u
ce
m
ask
in
g
b
y
ad
jace
n
t sp
ec
tr
al
c
o
m
p
o
n
en
ts
.
3.
O
UT
CO
M
E
O
F
L
I
T
E
RAT
URE SU
RVEY
W
e
ar
e
g
o
in
g
to
s
u
m
m
ar
iz
e
th
e
e
x
is
tin
g
s
p
ee
ch
en
h
an
ce
m
en
t
m
eth
o
d
s
.
T
h
is
also
g
iv
es
th
e
lim
itatio
n
s
o
r
p
r
o
b
lem
s
f
ac
e
d
d
u
r
in
g
th
e
p
r
o
ce
s
s
in
g
as
well
as
d
r
awb
ac
k
s
o
f
th
o
s
e
m
eth
o
d
s
.
Fro
m
th
e
liter
atu
r
e
s
u
r
v
ey
we
ca
n
o
b
s
er
v
e
th
at
th
e
m
eth
o
d
b
asically
u
s
ed
to
s
u
p
p
r
ess
th
e
n
o
is
e
p
r
esen
t
in
th
e
co
r
r
u
p
te
d
s
p
ee
ch
is
s
p
ec
tr
al
s
u
b
tr
ac
tio
n
m
eth
o
d
,
wh
e
r
e
b
y
s
u
b
tr
ac
tin
g
th
e
m
ag
n
itu
d
e
s
p
ec
tr
u
m
o
f
th
e
p
r
ed
icted
n
o
is
e
f
r
o
m
th
at
o
f
th
e
n
o
is
y
s
p
ee
ch
s
ig
n
al,
we
ar
e
g
o
in
g
to
b
e
ab
le
to
esti
m
ate
th
e
clea
n
s
p
ee
c
h
s
ig
n
al.
T
h
e
m
ain
d
r
awb
ac
k
s
o
f
th
e
m
eth
o
d
w
er
e
th
e
ass
u
m
p
tio
n
s
an
d
th
e
m
eth
o
d
w
o
r
k
o
n
ly
wh
e
n
th
e
s
p
ee
ch
s
ig
n
al
is
s
tatio
n
ar
y
in
n
atu
r
e
an
d
n
o
is
e
is
u
n
co
r
r
elate
d
to
th
e
s
p
ee
ch
s
ig
n
al.
So
m
e
o
th
er
m
eth
o
d
s
o
f
s
p
ee
ch
en
h
an
ce
m
e
n
t
d
is
cu
s
s
ed
in
th
e
liter
atu
r
e
s
u
r
v
ey
a
r
e
wien
er
f
ilter
in
g
m
eth
o
d
,
wav
elet
p
ac
k
et
d
ec
o
m
p
o
s
itio
n
m
eth
o
d
,
Fre
q
u
en
cy
c
o
m
p
r
ess
io
n
m
eth
o
d
,
m
u
lti
-
b
a
n
d
s
p
ec
t
r
al
s
u
b
tr
ac
tio
n
m
eth
o
d
.
E
v
e
r
y
m
eth
o
d
i
n
v
o
lv
es
lim
itatio
n
s
s
o
m
e
o
f
th
em
ar
e
m
en
tio
n
ed
b
elo
w,
−
Pro
b
lem
s
f
ac
ed
b
y
all
o
f
th
e
a
f
o
r
em
en
tio
n
ed
tech
n
iq
u
es
wer
e
th
e
g
en
er
atio
n
o
f
m
u
s
ical
n
o
is
e,
p
r
esen
ce
o
f
r
esid
u
al
n
o
is
e
af
ter
p
r
o
ce
s
s
in
g
an
d
d
is
to
r
tio
n
ca
u
s
ed
d
u
e
to
t
h
e
p
r
o
ce
s
s
in
g
.
−
W
av
elet
p
ac
k
et
d
ec
o
m
p
o
s
itio
n
m
eth
o
d
r
ed
u
ce
s
m
u
s
ical
n
o
is
e,
b
u
t
th
e
ef
f
ec
tiv
en
ess
o
f
t
h
is
ap
p
r
o
ac
h
is
d
ep
en
d
e
n
t
o
n
th
e
n
u
m
b
er
o
f
d
ec
o
m
p
o
s
itio
n
s
tag
es,
h
en
ce
b
etter
q
u
ality
ca
n
b
e
o
b
tain
e
d
o
n
ly
with
th
e
in
cr
ea
s
ed
co
m
p
le
x
ity
.
−
Sig
n
al
s
u
b
s
p
ac
e
ap
p
r
o
ac
h
ca
n
b
e
u
s
ed
to
a
v
o
id
th
e
n
o
n
-
s
tatio
n
ar
ity
p
r
o
b
lem
as
well
as
it
a
ls
o
r
ed
u
ce
s
th
e
r
esid
u
al
n
o
is
e
b
u
t c
a
u
s
es so
m
e
d
is
to
r
tio
n
in
th
e
p
r
o
ce
s
s
ed
s
p
ee
ch
.
Hen
ce
s
o
m
e
o
f
th
e
m
eth
o
d
s
wer
e
s
u
cc
ess
f
u
l
in
r
e
d
u
cin
g
t
h
e
m
u
s
ical
n
o
is
e
b
u
t
wer
e
f
ail
ed
wh
en
it
co
m
e
f
o
r
r
esid
u
al
o
r
d
is
to
r
tio
n
.
Pro
p
o
s
ed
wo
r
k
is
d
esig
n
e
d
to
o
v
er
co
m
e
th
ese
p
r
o
b
lem
s
.
B
y
en
h
an
ci
n
g
t
h
e
s
p
ee
ch
s
ig
n
al'
s
p
er
ce
p
tio
n
an
d
co
m
p
r
eh
en
s
ib
ilit
y
,
th
e
s
p
ee
ch
e
n
h
an
ce
m
en
t
ap
p
r
o
ac
h
is
u
s
ed
to
in
cr
ea
s
e
t
h
e
s
p
ee
ch
s
ig
n
al'
s
in
tellig
en
ce
.
I
t
is
al
s
o
u
s
ed
in
m
an
y
r
ea
l
t
im
e
a
p
p
licatio
n
s
as
in
m
o
b
ile
co
m
m
u
n
icatio
n
,
an
d
h
ea
r
i
n
g
aid
s
.
A
m
o
n
g
th
e
ex
i
s
tin
g
m
eth
o
d
s
o
f
s
p
ee
c
h
en
h
a
n
ce
m
en
t
is
th
e
b
asic
s
p
ec
tr
al
s
u
b
tr
ac
tio
n
m
eth
o
d
,
th
at
en
h
an
ce
s
th
e
n
o
is
e
co
r
r
u
p
ted
s
p
ee
ch
s
ig
n
al
wh
ich
,
is
co
n
s
id
er
ed
to
b
e
n
o
n
-
s
tatio
n
ar
y
an
d
wh
er
e
,
n
o
is
e
is
u
n
co
r
r
elate
d
to
th
e
s
p
ee
c
h
s
ig
n
al.
T
h
ese
ass
u
m
p
tio
n
s
n
o
t
r
e
ally
ex
is
t
in
m
o
s
t
o
f
th
e
r
ea
l
tim
e
ap
p
licatio
n
s
.
T
h
er
ef
o
r
e,
a
n
ef
f
ec
tiv
e
s
p
ee
ch
e
n
h
an
ce
m
e
n
t
ap
p
r
o
ac
h
is
r
e
q
u
i
r
ed
i
n
o
r
d
er
to
g
et
ar
o
u
n
d
th
e
d
r
aw
b
ac
k
s
o
f
th
e
s
p
ec
tr
al
s
u
b
tr
ac
tio
n
tech
n
iq
u
e.
Hen
c
e
p
r
o
p
o
s
ed
th
e
w
o
r
k
“Sp
ee
ch
en
h
an
ce
m
en
t
u
s
in
g
m
u
lti
-
b
an
d
s
p
ec
tr
al
s
u
b
t
r
ac
tio
n
u
s
in
g
c
r
o
s
s
s
p
ec
tr
al
s
u
b
tr
ac
tio
n
”.
Ob
jectiv
es
o
f
p
r
o
p
o
s
ed
wo
r
k
a
r
e
i)
t
o
m
in
im
ize
th
e
n
o
is
e
p
r
esen
t
in
th
e
co
r
r
u
p
ted
s
p
ee
ch
s
ig
n
al
;
ii
)
t
o
elim
in
ate
th
e
m
u
s
ical
n
o
is
e
g
en
er
ate
d
b
y
t
h
e
s
p
ec
tr
al
s
u
b
tr
ac
tio
n
m
eth
o
d
; a
n
d
iii)
t
o
elim
in
ate
th
e
p
o
s
s
ib
le
d
is
to
r
tio
n
th
at
ca
n
ca
u
s
e
d
u
r
in
g
p
r
o
ce
s
s
in
g
.
4.
PR
O
P
O
SE
D
M
E
T
H
O
D
T
h
e
p
r
o
p
o
s
ed
w
o
r
k
i
n
tr
o
d
u
ce
s
two
s
p
ee
ch
en
h
a
n
ce
m
en
t
alg
o
r
ith
m
s
in
o
r
d
er
to
p
e
r
f
o
r
m
th
e
f
u
n
d
am
e
n
tal
s
p
ec
tr
al
s
u
b
tr
ac
ti
o
n
ap
p
r
o
ac
h
an
d
p
r
ev
e
n
t
th
e
m
u
s
ical
n
o
is
e
th
at
ca
n
b
e
p
r
o
d
u
ce
d
as
a
r
esu
lt
o
f
th
is
m
eth
o
d
.
T
h
e
f
i
r
s
t
tech
n
iq
u
e
u
s
es
a
m
o
d
if
ied
f
o
r
m
o
f
m
u
lt
i
-
b
an
d
s
p
ec
tr
al
s
u
b
tr
ac
tio
n
.
T
h
is
ap
p
r
o
ac
h
is
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
52
In
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
3
6
,
No
.
2
,
No
v
em
b
er
20
24
:
9
3
3
-
9
4
1
936
u
s
ed
to
h
an
d
le
n
o
is
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p
ee
c
h
s
ig
n
als
th
at
h
av
e
s
u
f
f
er
ed
f
r
o
m
ad
d
itiv
e
n
o
is
e
an
d
ar
e
n
o
n
-
s
tatio
n
ar
y
[
1
0
]
.
T
h
e
SNR
o
f
th
e
cu
r
r
en
t
f
r
am
e
s
er
v
es
as
th
e
f
o
u
n
d
atio
n
f
o
r
d
o
in
g
s
p
ec
tr
al
s
u
b
tr
ac
tio
n
.
Sectio
n
1
o
f
th
e
d
o
cu
m
e
n
t
co
n
tain
s
all
o
f
th
e
m
eth
o
d
'
s
s
p
ec
if
ics.
I
n
o
r
d
er
to
h
an
d
le
th
e
n
o
is
y
s
p
ee
ch
s
ig
n
al
,
th
at
h
as
b
ee
n
tain
ted
b
y
n
o
is
e
lin
k
ed
to
th
e
s
p
ee
ch
s
i
g
n
al,
th
e
s
ec
o
n
d
tech
n
iq
u
e
co
m
p
r
is
es
co
m
p
u
tin
g
th
e
r
elat
io
n
s
h
ip
b
etwe
en
th
e
n
o
is
e
-
f
r
ee
an
d
clea
n
s
ig
n
als o
f
s
p
ee
ch
.
I
n
s
ec
tio
n
2
,
th
e
co
m
p
u
tatio
n
'
s
s
p
ec
if
ics ar
e
ex
p
lain
ed
[
1
1
]
.
4
.
1
.
M
o
dified
m
ulti
-
ba
nd
s
p
ec
t
ra
l sig
na
l
L
et
:
w
(
n
)
-
E
n
h
a
n
cin
g
th
e
n
o
is
y
s
p
e
ec
h
s
ig
n
al
.
a
(
n
)
-
A
d
d
itiv
e
n
o
is
e
.
s
(
n
)
-
No
is
e
f
r
ee
s
p
ee
ch
s
ig
n
al.
T
h
u
s
,
W
(
n
)
is
p
r
o
v
id
ed
b
y
(
1
)
.
(
)
=
(
)
+
(
)
(
1
)
U
s
in
g
th
e
f
r
eq
u
en
cy
d
o
m
ain
c
o
n
v
er
s
io
n
,
let
s
(
n
)
b
e
ex
p
r
ess
ed
as
(
2
)
.
(
)
=
(
)
+
(
)
(
2
)
T
h
e
n
o
is
e
-
co
r
r
u
p
te
d
s
p
ee
ch
s
i
g
n
al'
s
p
o
wer
s
p
ec
tr
u
m
is
s
h
o
wn
as
(
3
)
.
|
(
)
|
2
=
|
(
)
|
2
+
|
(
)
|
2
+
(
)
(
)
∗
+
(
)
∗
(
)
(
3
)
T
h
e
f
u
n
d
am
en
tal
s
p
ec
tr
al
s
u
b
tr
ac
tio
n
m
eth
o
d
r
eq
u
ir
es
th
at
th
e
n
o
is
e
s
ig
n
al
alo
n
g
with
th
e
n
o
is
e
-
co
r
r
u
p
te
d
s
ig
n
al
ar
e
u
n
co
r
r
ela
ted
.
(
)
.
(
)
∗
+
(
)
∗
.
(
)
ter
m
s
in
(
3
)
ar
e
n
eg
lecte
d
.
T
h
er
ef
o
r
e,
(
4
)
m
ay
b
e
u
s
ed
to
p
r
o
d
u
ce
th
e
clea
n
s
p
ee
ch
s
ig
n
al
S(f
)
.
|
(
)
|
2
=
|
(
)
|
2
−
|
(
)
|
2
(
4
)
E
v
en
s
o
,
th
is
ap
p
r
o
ac
h
m
ak
es
th
e
u
n
f
ea
s
ib
le
ass
u
m
p
tio
n
th
at
n
o
is
e
is
eq
u
ally
d
is
tr
ib
u
ted
ac
r
o
s
s
th
e
tain
ted
s
p
ee
ch
s
ig
n
al,
wh
ich
i
s
im
p
r
ac
tical.
So
,
if
we
u
s
e
th
e
s
am
e
tech
n
iq
u
e,
th
e
n
o
is
y
s
p
ee
ch
s
ig
n
al
will
b
e
r
ed
u
ce
d
b
y
th
e
s
am
e
am
o
u
n
t
o
f
a
n
ticip
ated
n
o
is
e
[
1
2
]
.
A
d
if
f
er
e
n
t
ap
p
r
o
ac
h
o
f
s
p
e
ec
h
en
h
an
ce
m
en
t
is
n
ec
ess
ar
y
to
p
r
ev
en
t
th
is
,
in
wh
ich
th
e
a
m
o
u
n
t
o
f
n
o
is
e
to
b
e
r
em
o
v
ed
r
elies
o
n
t
h
e
S
NR
in
th
e
r
elev
a
n
t
s
ec
tio
n
o
f
th
e
s
ig
n
al
W
(
n
)
.
T
h
e
o
v
er
s
u
b
tr
ac
tio
n
f
ac
to
r
i
s
ca
lc
u
lated
u
s
in
g
m
o
d
if
ie
d
m
u
lti
-
b
an
d
s
p
ec
tr
al
s
u
b
tr
ac
tio
n
,
wh
ich
is
d
ep
en
d
e
n
t
o
n
th
e
S
NR
v
alu
e.
I
n
o
r
d
er
to
ca
lcu
late
clea
n
s
p
ee
ch
,
o
v
er
s
u
b
tr
ac
tio
n
ca
n
b
e
in
tr
o
d
u
ce
d
in
to
(
4
)
.
T
h
e
f
ac
to
r
ca
n
th
en
b
e
o
b
tain
ed
b
y
(
5
)
.
|
(
)
|
2
=
|
(
)
|
2
−
|
(
)
|
2
(
5
)
In
th
e
co
n
n
ec
tio
n
b
etwe
en
an
d
SNR
in
th
is
p
ap
er
ex
p
lain
ed
[
1
3
]
.
As f
o
r
th
e
r
elatio
n
s
h
ip
:
α
=
{
5
4
1
−
0
.
15
(
)
<
5
−
5
<
<
20
>
20
(
6
)
4
.
2
.
Cro
s
s
-
co
rr
ela
t
io
n t
ec
hn
iqu
e
I
n
(
3
)
,
(
)
.
(
)
∗
+
(
)
∗
.
(
)
is
r
eg
ar
d
ed
as
th
e
cr
o
s
s
-
co
r
r
elatio
n
ter
m
th
at
is
ig
n
o
r
ed
i
n
th
e
s
p
ec
tr
al
s
u
b
tr
ac
tio
n
m
eth
o
d
.
No
n
eth
eless
,
th
er
e
is
s
o
m
e
ass
o
ciatio
n
b
etwe
en
s
p
ee
ch
s
ig
n
al
an
d
n
o
is
e
in
r
ea
l
-
tim
e
ap
p
licatio
n
s
[
1
4
]
.
T
h
u
s
,
i
t
is
ess
en
tial
to
id
en
tify
th
ese
co
r
r
elatio
n
wo
r
d
s
,
x
dc
a
n
d
x
cd
.
Sin
ce
we
ar
e
u
n
ale
to
ac
ess
to
p
r
ec
is
e
s
p
ee
ch
,
we
ca
n
d
eter
m
in
e
a
co
r
r
elatio
n
b
etwe
en
th
e
n
o
is
e
s
ig
n
al
an
d
t
h
e
co
r
r
u
p
ted
s
p
ee
ch
s
ig
n
al.
Fo
r
ex
am
p
le,
x
yd
wh
e
r
e
x
sd
is
y
ield
s
,
=
+
(
7
)
|
(
)
2
|
=
{
|
(
)
|
2
−
|
(
)
2
|
−
|
(
)
|
∗
|
(
)
|
|
(
)
|
2
>
|
(
)
2
|
|
(
)
2
|
(
8
)
w
h
er
e
is
th
e
ca
lcu
latio
n
o
f
t
h
e
o
v
er
s
p
ec
tr
al
s
u
b
tr
ac
tio
n
f
ac
t
o
r
,
u
s
in
g
(
6
)
a
n
d
it
is
th
e
r
ep
o
r
ted
v
alu
e
o
f
0
.
0
0
2
f
o
r
th
e
s
p
ec
tr
al
f
lo
o
r
f
ac
to
r
f
r
o
m
th
e
p
u
b
licatio
n
[
15
]
.
I
s
a
co
r
r
elatio
n
f
ac
to
r
th
at
esti
m
ates
h
o
w
clo
s
ely
th
e
n
o
is
y
s
p
ee
ch
s
ig
n
al
an
d
esti
m
ated
n
o
is
y
s
p
ee
ch
s
ig
n
al
a
r
e
c
o
r
r
elate
d
.
E
q
u
atio
n
t
o
d
eter
m
i
n
e
is
:
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2
5
0
2
-
4
7
52
S
p
ee
ch
e
n
h
a
n
ce
men
t b
y
u
s
in
g
n
o
ve
l m
u
ltib
a
n
d
s
p
ec
tr
a
l su
b
t
r
a
ctio
n
…
(
Ja
g
a
d
is
h
S
.
Ja
ka
ti
)
937
=
|
−
|
(
9
)
w
h
er
e,
=
1
/
2
∑
|
(
)
|
∗
|
(
)
|
=
1
/
2
∑
|
(
)
|
=
1
/
2
∑
|
(
)
|
w
h
er
e,
μ
y
,
μ
n
ar
e
t
h
e
m
ea
n
s
v
alu
es
o
f
th
e
n
o
is
e
co
r
r
u
p
ted
s
p
ee
ch
s
ig
n
al
an
d
n
o
is
e
s
ig
n
al
.
W
h
er
e
0<
n
<N
/2
,
N
is
th
e
len
g
h
t
o
f
f
ast
f
o
u
r
ier
t
r
an
s
f
o
r
m
.
σ
y
2
,
σ
n
2
ar
e
th
e
v
a
r
ian
ce
s
o
f
th
e
n
o
is
e
co
r
r
u
p
te
d
s
p
ee
ch
s
ig
n
al
an
d
en
h
an
ce
d
n
o
is
y
s
ig
n
al.
A
n
o
is
e
co
r
r
u
p
te
d
s
p
ee
ch
s
ig
n
al
is
in
itially
s
ep
ar
ated
in
to
2
0
-
m
s
f
r
am
es
(
1
6
0
s
am
p
les
/
f
r
am
e)
.
Fo
r
th
is
,
Ham
m
in
g
W
in
d
o
w
is
em
p
lo
y
ed
(
with
win
d
o
w
s
ize
1
6
0
)
.
T
ec
h
n
iq
u
es
f
o
r
win
d
o
win
g
m
ay
ca
u
s
e
s
p
ec
tr
al
leak
ag
e
n
ea
r
th
e
ed
g
es
o
f
th
e
win
d
o
w
,
wh
ich
m
ay
r
esu
lt
in
in
f
o
r
m
atio
n
lo
s
s
;
h
en
ce
,
5
0
%
o
v
er
lap
p
i
n
g
is
p
er
f
o
r
m
ed
b
ef
o
r
e
s
ig
n
al
p
r
o
c
ess
in
g
to
p
r
ev
en
t
th
e
s
am
e
[
1
6
]
.
W
in
d
o
wed
n
o
is
y
v
o
ice
s
ig
n
al
is
d
en
o
ted
b
y
(
1
0
)
.
(
)
=
(
)
∗
(
)
(
10
)
Fro
m
(
1
)
,
(
)
=
[
(
)
+
(
)
]
∗
(
)
(
11
)
=
(
)
+
(
)
Af
ter
co
m
p
u
tin
g
,
f
ast
f
o
u
r
ie
r
t
r
an
s
f
r
o
m
(
FF
T
)
o
f
th
e
n
o
is
e
co
r
r
u
p
te
d
s
p
ee
ch
s
am
p
le,
th
e
m
ag
n
itu
d
e
s
p
ec
tr
u
m
is
ca
lcu
lated
u
s
in
g
(
3
)
a
n
d
(
2
)
.
T
h
e
n
o
is
y
s
p
ee
ch
s
ig
n
al'
s
f
r
am
e
m
ag
n
itu
d
e
s
p
ec
tr
u
m
is
s
ep
ar
ated
in
to
f
r
am
es
with
4
0
s
am
p
les
e
ac
h
in
m
o
d
if
ied
m
u
ltib
an
d
s
p
ec
tr
al
s
u
b
tr
ac
tio
n
[
1
7
]
.
B
ased
o
n
th
e
SNR
v
alu
es
o
f
th
ese
f
r
am
e
s
,
s
p
ec
tr
al
s
u
b
tr
ac
tio
n
is
ca
r
r
ied
o
u
t
in
d
e
p
en
d
en
tly
f
o
r
ea
c
h
f
r
am
e
u
s
in
g
(
5
)
a
n
d
(
6
)
b
y
ca
lcu
latin
g
th
e
o
v
er
s
u
b
tr
ac
tio
n
f
ac
to
r
.
Fin
ally
,
th
e
c
o
r
r
elatio
n
f
ac
to
r
is
d
eter
m
in
e
d
u
s
in
g
(
8
)
an
d
(
9
)
a
n
d
(
7
)
.
I
t
is
p
o
s
s
ib
le
to
r
etr
iev
e
th
e
p
r
ec
is
e
s
p
ee
ch
s
ig
n
al
m
ag
n
itu
d
e.
C
o
m
p
lex
s
p
ec
tr
u
m
is
cr
ea
ted
b
y
in
co
r
p
o
r
atin
g
th
e
p
r
ed
icted
n
o
n
n
o
is
y
s
p
ee
ch
s
ig
n
al
m
ag
n
itu
d
e
s
p
ec
t
r
u
m
with
th
e
o
r
ig
i
n
al
s
p
ee
ch
s
ig
n
al
u
n
alter
e
d
p
h
ase
s
p
ec
tr
u
m
[
1
8
]
.
T
o
tr
an
s
late
a
co
m
p
lex
s
p
ec
tr
u
m
in
to
a
tim
e
d
o
m
ain
s
ig
n
al,
in
v
er
s
e
f
r
e
q
u
en
cy
f
ou
r
ier
tr
an
s
f
o
r
m
is
u
s
ed
.
I
n
th
e
s
am
e
way
th
at
5
0
%
o
v
er
la
p
p
in
g
is
u
s
ed
f
o
r
f
r
a
m
in
g
[
1
9
]
.
T
h
e
clea
r
s
p
ee
ch
s
ig
n
al
is
ac
h
iev
ed
v
ia
5
0
%
o
v
er
lap
ad
d
itio
n
.
T
h
e
F
ig
u
r
e
1
illu
s
tr
ates th
e
v
ar
io
u
s
p
r
o
ce
s
s
es th
at
g
o
in
t
o
p
u
ttin
g
th
e
s
u
g
g
ested
s
tr
ateg
y
in
t
o
p
r
ac
tice
[2
0]
.
5.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
I
n
th
is
p
r
o
p
o
s
ed
m
eth
o
d
,
s
p
ee
ch
q
u
ality
is
ev
alu
ated
u
s
in
g
a
s
u
b
jectiv
e
lis
ten
in
g
test
an
d
s
p
ec
tr
o
g
r
am
an
al
y
s
is
.
T
h
ese
an
aly
s
is
tech
n
iq
u
es
ar
e
u
s
ed
to
co
m
p
ar
e
th
e
p
e
r
f
o
r
m
an
ce
o
f
th
e
s
tated
ap
p
r
o
ac
h
to
th
o
s
e
o
f
th
e
cu
r
r
en
t
s
p
ee
c
h
en
h
an
ce
m
e
n
t
m
eth
o
d
.
I
n
a
s
u
b
jectiv
e
lis
ten
in
g
test
,
li
s
ten
er
s
ar
e
u
s
ed
to
co
m
p
ar
e
p
r
o
ce
s
s
ed
s
p
ee
ch
to
an
u
n
p
r
o
ce
s
s
ed
s
p
ee
ch
s
ig
n
al.
T
h
e
s
p
ee
ch
q
u
ality
ca
n
b
e
r
ated
b
y
lis
ten
er
s
u
s
in
g
a
p
r
e
d
eter
m
in
ed
s
ca
le
[
2
1
]
.
A
s
p
ec
tr
o
g
r
am
is
a
r
e
p
r
e
s
en
tatio
n
o
f
a
s
p
ee
ch
s
ig
n
al'
s
tim
e
an
d
f
r
e
q
u
en
c
y
,
with
th
e
f
r
eq
u
en
c
y
ch
an
g
in
g
as
th
e
tim
e
ch
an
g
es.
T
h
e
s
p
ec
tr
o
g
r
a
m
'
s
co
lo
u
r
co
r
r
esp
o
n
d
s
to
th
e
s
p
ee
ch
'
s
en
er
g
y
at
t
h
at
f
r
eq
u
en
cy
.
Dar
k
co
lo
u
r
i
n
d
icate
s
a
h
ig
h
-
en
er
g
y
s
p
ea
k
in
g
s
ig
n
al
[
2
2
]
.
T
h
e
s
p
ec
tr
o
g
r
a
m
an
aly
s
is
o
f
n
o
is
y
s
p
ee
ch
s
ig
n
als
p
er
v
er
te
d
b
y
b
a
b
b
le
n
o
is
e
at
0
d
B
an
d
1
5
d
B
is
s
h
o
wn
in
Fig
u
r
es
2
an
d
3
,
r
es
p
ec
tiv
ely
[
2
3
]
.
Als
o
,
th
e
s
p
ec
tr
o
g
r
am
an
al
y
s
is
o
f
th
e
im
p
r
o
v
ed
s
p
ee
ch
s
o
u
n
d
s
is
s
h
o
wn
in
Fig
u
r
es
4
an
d
5
.
I
t
h
as
b
ee
n
n
o
ticed
t
h
at
u
tili
zi
n
g
th
e
s
u
g
g
ested
s
tr
ateg
y
h
a
s
im
p
r
o
v
e
d
s
p
ee
ch
q
u
ality
.
T
h
e
av
er
ag
e
r
atin
g
f
o
r
th
e
m
o
d
if
ied
m
u
ltib
an
d
s
p
ec
tr
al
s
u
b
tr
ac
tio
n
s
u
b
jectiv
e
lis
ten
in
g
test
f
o
r
s
ig
n
als with
0
dB
SNR
an
d
1
5
d
B
SNR
is
2
.
7
an
d
2
.
6
(
lo
w
)
,
r
esp
ec
tiv
ely
[
2
4
]
.
T
h
e
s
u
g
g
est
ed
ap
p
r
o
ac
h
h
as a
n
av
er
ag
e
r
atin
g
o
f
3
.
7
an
d
3
.
6
f
o
r
s
ig
n
als
with
0
dB
SNR
an
d
1
5
d
B
SNR
,
r
esp
ec
tiv
ely
(
g
r
ea
ter
th
an
th
at
o
f
p
r
ev
io
u
s
m
et
h
o
d
)
[
2
5
]
,
[
2
6
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
52
In
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
3
6
,
No
.
2
,
No
v
em
b
er
20
24
:
9
3
3
-
9
4
1
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Fig
u
r
e
1
.
Flo
w
ch
a
r
t
f
o
r
th
e
p
r
o
p
o
s
ed
m
eth
o
d
Fig
u
r
e
2
.
Sig
n
al
0
d
B
SNR
b
ab
b
le
n
o
is
e
s
p
ee
ch
s
ig
n
al
Fig
u
r
e
3
.
Sig
n
al
1
5
d
B
SNR
b
ab
b
le
n
o
is
e
s
p
ee
ch
s
ig
n
al
Fig
u
r
e
4
.
Sig
n
al
e
n
h
an
ce
d
b
y
t
h
e
p
r
o
p
o
s
ed
m
eth
o
d
Fig
u
r
e
5
.
Sig
n
al
e
n
h
an
ce
d
b
y
m
u
ltib
an
d
s
p
ec
tr
al
s
u
b
tr
ac
tio
n
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i
s
y
s
p
e
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c
h
s
i
g
n
a
l
y
n
s
n
a
n
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m
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h
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2
5
0
2
-
4
7
52
S
p
ee
ch
e
n
h
a
n
ce
men
t b
y
u
s
in
g
n
o
ve
l m
u
ltib
a
n
d
s
p
ec
tr
a
l su
b
t
r
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ctio
n
…
(
Ja
g
a
d
is
h
S
.
Ja
ka
ti
)
939
6.
CO
NCLU
SI
O
N
I
n
th
is
s
tu
d
y
,
th
e
is
s
u
es
an
d
r
estrictio
n
s
o
f
th
e
b
ase
s
p
ec
tr
a
l
s
u
b
tr
ac
tio
n
m
eth
o
d
a
r
e
d
is
cu
s
s
ed
.
B
y
ca
lcu
latin
g
th
e
v
alu
e
o
f
th
e
o
v
er
s
u
b
tr
ac
tio
n
f
ac
to
r
,
we
p
er
f
o
r
m
e
d
m
u
ltib
an
d
s
p
ec
tr
al
s
u
b
tr
ac
tio
n
in
th
is
r
esear
ch
.
C
r
o
s
s
-
co
r
r
elatio
n
ap
p
r
o
ac
h
was
u
s
ed
to
co
n
s
tr
u
ct
ad
d
itio
n
al
cr
o
s
s
s
p
ec
tr
al
co
m
p
o
n
en
ts
.
Acc
o
r
d
i
n
g
to
th
e
r
esu
lts
an
d
d
is
cu
s
s
io
n
s
,
th
e
s
u
g
g
ested
m
eth
o
d
p
er
f
o
r
m
s
th
e
s
p
ec
tr
u
m
s
u
b
tr
ac
tio
n
m
eth
o
d
i
n
ter
m
s
o
f
th
e
ex
ce
llen
ce
o
f
s
p
ee
ch
s
ig
n
a
l.
RE
F
E
R
E
NC
E
S
[
1
]
.
Z
h
e
n
g
,
Y
.
K
e
,
X
.
Lu
o
,
a
n
d
X
.
L
i
,
“
o
n
v
o
l
u
t
i
o
n
a
l
n
e
u
r
a
l
n
e
t
w
o
r
k
-
b
a
s
e
d
mo
d
e
l
s
f
o
r
sp
e
e
c
h
d
e
n
o
i
s
i
n
g
a
n
d
d
e
r
e
v
e
r
b
e
r
a
t
i
o
n
:
a
l
g
o
r
i
t
h
ms
a
n
d
a
p
p
l
i
c
a
t
i
o
n
s,
”
i
n
I
o
T
-
e
n
a
b
l
e
d
C
o
n
v
o
l
u
t
i
o
n
a
l
N
e
u
r
a
l
N
e
t
w
o
rks:
T
e
c
h
n
i
q
u
e
s
a
n
d
A
p
p
l
i
c
a
t
i
o
n
s,
N
e
w
Y
o
r
k
:
R
i
v
e
r
Pu
b
l
i
sh
e
rs
,
2
0
2
3
,
p
p
.
6
5
–
9
5
.
[
2
]
.
Zh
e
n
g
,
.
Li
u
,
A
.
Li
,
Y
.
K
e
,
a
n
d
X
.
Li
,
“
L
o
w
-
l
a
t
e
n
c
y
mo
n
a
u
r
a
l
sp
e
e
c
h
e
n
h
a
n
c
e
me
n
t
w
i
t
h
d
e
e
p
f
i
l
t
e
r
-
b
a
n
k
e
q
u
a
l
i
z
e
r
,
”
T
h
e
J
o
u
rn
a
l
o
f
t
h
e
Ac
o
u
s
t
i
c
a
l
S
o
c
i
e
t
y
o
f
A
m
e
ri
c
a
,
v
o
l
.
1
5
1
,
n
o
.
5
,
p
p
.
3
2
9
1
–
3
3
0
4
,
M
a
y
2
0
2
2
,
d
o
i
:
1
0
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Evaluation Warning : The document was created with Spire.PDF for Python.