Infant Cries Identificaton by Using Codebook As Feature Matching, And MFCC As Feature Extraction
Journal of Thooretical and Applied Information Technology
20"' October 20l3 Yo! 56 No.2
C 2005 - 2013 JATIT & LLS. All lights reseNed
lS:>N. ＱＹＲＭｬｍｾ＠
WWW. Hllll.org
I -ISSN: 1817-J l?S
INF ANT CRIES IDENTIFICATION
BY USING CODEBOOK AS FEATURE MATCHING,
AND MFCC AS FEATURE EXTRACTION
i\1E011ANITA OE\\ I RENA '-'Tl, 1 AGUS BUONO, 1WISNU ANANTA KUSUMA
1
1
Diploma Program of Bogor Agricultural University
Compukr Science Department of Bogor Agricultural University
E-mnil: 1mcJha nuho a "ahoo.com. ｾｵ､･ｨ｡＠
ii vahoo.co.id , lananta ci'iph.ac.id
2
ABSTRACT
In this paper, \\C focused on automation of Dunstan Bab) Language. This system uses MFCC as feature
e\lraetion and codebook as ti!oture matching. The codebook or clusters is made from the proceeds of all the
buhy's cries du1a, by using the k-mcans clustering. The datn is taken from Dunstan Baby Language videos
1hat has been processed. The d:ita is divided into two, 1raining data and testing data. There are 140 training
dato, each of \\hich represents the 28 hungry infant cries. 28 sleepy infant cries, 28 \\anted to burp infant
cries, 28 in pain infant cric,. and 28 uncomfortable infant cries (could be because his diaper is wet/too
hot/cold air or an} thing else}. lhe ｬ｣ｾｵｮｧ＠
data is 35, respectively 7 infant cries for each type of infant cry.
The research '.tr) i ng frame length: 25 ms/frame length = 275. 40 ms/frame length = 440. 60 ms/ frame
length = 660. O\ erlap frame: 0°o. ＲＵｾｯＮ＠
40%, the number of codewords: I to 18, except for frame length
275 and O\.crlap frame = O u-,ing I to 29 clusters. The identification of this type of infant cries uses the
minimum distance of euclidean distance. Accuraq \aluc is between 37% and 94%. Sound 'ch' is the most
familiar. whereas sound ·m,11· is always missunderstood and generally it is known as 'neh' and 'eairh' .
The weakness point of this research is the silent is onl) be cut at the beginning and at the end of speech
signal. Hopefully. in the nc\t research. the silent cnn be cul in the middle of sound so that it can produce
more specific sound. It has impucl on the bigger accurac) as \\ell.
Keywords: Codebook. D1111.11t111 baby la11g11age, Infant cries. K-means cf11sreri11g, MFCC
I.
I NTRODUCTION
The first verbal communication which is
mastered b) a bab> is cr:ang. Currently, there is a
system that learns the meaning of a 0-3 month old
infanl cries \\hich is called ｄｵｮｾｴ｡＠
!lab) Language
(DDL). DBL is introduced b) Priscilla Dunstan, nn
Auslralinn
mu!>ician
"ho
has
gol
1nlent
to
remember all 1..inJs of sounds. kM\\O as sound
photograph..'\ccording to DBI 'cr-sion, there are
lhc bab) languages: ..nch" means hunger, "owh..
means tired \\hich indicates lhat the baby is getting
sleepy. "eh'. means that the baby \\ants to burp,
"eairh" means pain (\\ind) in the stomach. and
"heh" means uneomfonablc (could ll thing else).
The expenise to determine the meaning or
infant cries in DBL version is still a bit sparse so
the information of bab) ·s Lr) meaning is not
readil) a\·ailable to the parenti.. Current!}. a S)Stem
to transl';.:r knowledge nbout DBL is b) attending a
training or seminar, or b) ｳｴｵ､ｾ＠
ing their own infant
cries meaning (in DBL version) \\hich is nlread)'
packaged in the fonn of optical discs. The materials
of DBL can also be downloaded on the internet.
DBL system users, particularly in Indonesia, will be
mun: connc.Jcm '"ith the ｾｵｮ｣ｬＺｩｯ＠
they make if
there is a software that can automatically generate
the meaning of their infant cries. It can strengthen
their conclusions. In addition, this software will
olso be useful for parents who do not attend any
DBL 1taining or seminar, so parenls can understand
the language or the crymg of their baby.
Research on infant cries has been done by
researchers, such as: cries classification of normal
nod abnormal (hypoxia-oxygen lacl..s) infant by
using a neural neh\Orl.. which produces 85%
accuracy f I], the classificntion of healthy infants
and infants who experienced pain like brain
damage, lip cleft palate, hydrocephalus, and sudden
infant death syndrome by using Hidden Markov
Model (HMM) which produces 91% accuracy [2].
Other research is the classification of three types of
infant cries who are nonnal, deaf, and infants with
usphyxia (can not breathe spontaneously and
regularly) at the age of one day to nine months, by
437
Journal of Theoretic al and Applied Information Technology
c
ISSN
ＱＹＲＭＸＶ
20111 October 2013 Yo!. 56 No.2
2005 - 2013 JATIT & LLS All r1ghts reserved·
E-ISSN: 181H
Ｔｾ＠
hot/cold air or ｮｹｴｨｩｾ＠
else}. The testing data is 35,
rcspccti,el> 7 infant cries for each type of infant
cry.
ｵｾｩｮ･＠
a neural ncl\\ori. '' hicl1 produces 86%
accurac) 13 ].
The classilication of' infont cri..:s ｣｡ｬｾ､＠
t.:n
20"' October 20l3 Yo! 56 No.2
C 2005 - 2013 JATIT & LLS. All lights reseNed
lS:>N. ＱＹＲＭｬｍｾ＠
WWW. Hllll.org
I -ISSN: 1817-J l?S
INF ANT CRIES IDENTIFICATION
BY USING CODEBOOK AS FEATURE MATCHING,
AND MFCC AS FEATURE EXTRACTION
i\1E011ANITA OE\\ I RENA '-'Tl, 1 AGUS BUONO, 1WISNU ANANTA KUSUMA
1
1
Diploma Program of Bogor Agricultural University
Compukr Science Department of Bogor Agricultural University
E-mnil: 1mcJha nuho a "ahoo.com. ｾｵ､･ｨ｡＠
ii vahoo.co.id , lananta ci'iph.ac.id
2
ABSTRACT
In this paper, \\C focused on automation of Dunstan Bab) Language. This system uses MFCC as feature
e\lraetion and codebook as ti!oture matching. The codebook or clusters is made from the proceeds of all the
buhy's cries du1a, by using the k-mcans clustering. The datn is taken from Dunstan Baby Language videos
1hat has been processed. The d:ita is divided into two, 1raining data and testing data. There are 140 training
dato, each of \\hich represents the 28 hungry infant cries. 28 sleepy infant cries, 28 \\anted to burp infant
cries, 28 in pain infant cric,. and 28 uncomfortable infant cries (could be because his diaper is wet/too
hot/cold air or an} thing else}. lhe ｬ｣ｾｵｮｧ＠
data is 35, respectively 7 infant cries for each type of infant cry.
The research '.tr) i ng frame length: 25 ms/frame length = 275. 40 ms/frame length = 440. 60 ms/ frame
length = 660. O\ erlap frame: 0°o. ＲＵｾｯＮ＠
40%, the number of codewords: I to 18, except for frame length
275 and O\.crlap frame = O u-,ing I to 29 clusters. The identification of this type of infant cries uses the
minimum distance of euclidean distance. Accuraq \aluc is between 37% and 94%. Sound 'ch' is the most
familiar. whereas sound ·m,11· is always missunderstood and generally it is known as 'neh' and 'eairh' .
The weakness point of this research is the silent is onl) be cut at the beginning and at the end of speech
signal. Hopefully. in the nc\t research. the silent cnn be cul in the middle of sound so that it can produce
more specific sound. It has impucl on the bigger accurac) as \\ell.
Keywords: Codebook. D1111.11t111 baby la11g11age, Infant cries. K-means cf11sreri11g, MFCC
I.
I NTRODUCTION
The first verbal communication which is
mastered b) a bab> is cr:ang. Currently, there is a
system that learns the meaning of a 0-3 month old
infanl cries \\hich is called ｄｵｮｾｴ｡＠
!lab) Language
(DDL). DBL is introduced b) Priscilla Dunstan, nn
Auslralinn
mu!>ician
"ho
has
gol
1nlent
to
remember all 1..inJs of sounds. kM\\O as sound
photograph..'\ccording to DBI 'cr-sion, there are
lhc bab) languages: ..nch" means hunger, "owh..
means tired \\hich indicates lhat the baby is getting
sleepy. "eh'. means that the baby \\ants to burp,
"eairh" means pain (\\ind) in the stomach. and
"heh" means uneomfonablc (could ll thing else).
The expenise to determine the meaning or
infant cries in DBL version is still a bit sparse so
the information of bab) ·s Lr) meaning is not
readil) a\·ailable to the parenti.. Current!}. a S)Stem
to transl';.:r knowledge nbout DBL is b) attending a
training or seminar, or b) ｳｴｵ､ｾ＠
ing their own infant
cries meaning (in DBL version) \\hich is nlread)'
packaged in the fonn of optical discs. The materials
of DBL can also be downloaded on the internet.
DBL system users, particularly in Indonesia, will be
mun: connc.Jcm '"ith the ｾｵｮ｣ｬＺｩｯ＠
they make if
there is a software that can automatically generate
the meaning of their infant cries. It can strengthen
their conclusions. In addition, this software will
olso be useful for parents who do not attend any
DBL 1taining or seminar, so parenls can understand
the language or the crymg of their baby.
Research on infant cries has been done by
researchers, such as: cries classification of normal
nod abnormal (hypoxia-oxygen lacl..s) infant by
using a neural neh\Orl.. which produces 85%
accuracy f I], the classificntion of healthy infants
and infants who experienced pain like brain
damage, lip cleft palate, hydrocephalus, and sudden
infant death syndrome by using Hidden Markov
Model (HMM) which produces 91% accuracy [2].
Other research is the classification of three types of
infant cries who are nonnal, deaf, and infants with
usphyxia (can not breathe spontaneously and
regularly) at the age of one day to nine months, by
437
Journal of Theoretic al and Applied Information Technology
c
ISSN
ＱＹＲＭＸＶ
20111 October 2013 Yo!. 56 No.2
2005 - 2013 JATIT & LLS All r1ghts reserved·
E-ISSN: 181H
Ｔｾ＠
hot/cold air or ｮｹｴｨｩｾ＠
else}. The testing data is 35,
rcspccti,el> 7 infant cries for each type of infant
cry.
ｵｾｩｮ･＠
a neural ncl\\ori. '' hicl1 produces 86%
accurac) 13 ].
The classilication of' infont cri..:s ｣｡ｬｾ､＠
t.:n