AM
A. Marinov
12 records found
1
Bachelor thesis
(2022)
-
A.
Marinov
(author),
O.E.
Scharenborg
(mentor),
T.B.
Patel
(mentor),
Joana
Gonçalves
(graduation committee member)
A problem prevalent in many modern-day Automatic Speech Recognition (ASR) systems is the presence of bias and its reduction. Bias can be observed when an ASR system performs worse on a subset of its speakers compared to the rest rather than having the same overall generalization
...
A problem prevalent in many modern-day Automatic Speech Recognition (ASR) systems is the presence of bias and its reduction. Bias can be observed when an ASR system performs worse on a subset of its speakers compared to the rest rather than having the same overall generalization for everyone. This can be seen by using Word Error Rates (WER) as a metric. Depending on the ASR system in question the type of bias differs. However, techniques have been proposed and shown to succeed in reducing WER, and subsequently bias, by the use of data augmentation techniques for the recorded speech. These techniques perturb the audio in a certain way. Afterward, it is added to a model's training set and the model is retrained with the added data. One such technique is SpecSwap. This paper explores how using SpecSwap affects the WER performance of a hybrid-model ASR system using the JASMIN-CGN dataset's West-Dutch region. For comparison, a state-of-the-art data augmentation technique, VTLP, was also used, which has been shown to be effective in other cases. The experiments both led to a consistent WER increase. Therefore it was concluded that the data provided for the region was too little for the augmentation policy to be effective in any of the subcategories or in the overall performance of the system. However, SpecSwap shows potential in mitigating the widely discussed gender bias in ASR systems by reducing the difference between male and female speakers' WER.
Journal article
(2010)
-
B.C.
Arnold
(author),
B.C.
Arnold
(author),
G
Chen
(author),
G
Chen
(author),
D.
Kong
(author),
D.
Kong
(author),
H.
Park
(author),
H.
Park
(author),
D.
Son
(author),
D.
Son
(author),
S.
SONG
(author),
S.
SONG
(author),
S.
Jung
(author),
S.
Jung
(author),
B.C.
Hong
(author),
B.C.
Hong
(author),
H.
Kim
(author),
H.
Kim
(author),
J.H.
Kim
(author),
J.H.
Kim
(author),
K.S.
Lee
(author),
K.S.
Lee
(author),
S.
Park
(author),
S.
Park
(author),
H
Chen
(author),
H
Chen
(author),
J.
Kim
(author),
J.
Kim
(author),
M.
Choi
(author),
M.
Choi
(author),
G.
Hahn
(author),
G.
Hahn
(author),
S.
Choi
(author),
S.
Choi
(author),
YH
Choi
(author),
YH
Choi
(author),
J.L.
Goh
(author),
J.L.
Goh
(author),
H.
Jeong
(author),
H.
Jeong
(author),
T.
Kim
(author),
T.
Kim
(author),
J
Lee
(author),
J
Lee
(author),
S
Lee
(author),
S
Lee
(author),
C.
Jiang
(author),
C.
Jiang
(author),
P.I.
Petrov
(author),
P.I.
Petrov
(author),
J.
Williams
(author),
J.
Williams
(author),
M.
Ahmad
(author),
M.
Ahmad
(author),
M.
Ahmad
(author),
I.
Ahmed
(author),
I.
Ahmed
(author),
I.
Ahmed
(author),
M.S.
Asghar
(author),
M.S.
Asghar
(author),
M.S.
Asghar
(author),
M.A.A.
Awan
(author),
M.A.A.
Awan
(author),
M.A.A.
Awan
(author),
I.
Hussain
(author),
I.
Hussain
(author),
I.
Hussain
(author),
M.W.
Khan
(author),
M.W.
Khan
(author),
M.W.
Khan
(author),
S.
Muhammad
(author),
S.
Muhammad
(author),
S.
Muhammad
(author),
H.
Shahzad
(author),
H.
Shahzad
(author),
H.
Shahzad
(author),
D.
Liang
(author),
D.
Liang
(author),
P.M.
Zalewski
(author),
P.M.
Zalewski
(author),
A.E.
David
(author),
A.E.
David
(author),
P
Ribeiro
(author),
P
Ribeiro
(author),
PGR
Silva
(author),
PGR
Silva
(author),
M.
Finger
(author),
M.
Finger
(author),
M.
Finger
(author),
M.
Finger
(author),
A.
Denisov
(author),
A.
Denisov
(author),
V.
Kim
(author),
V.
Kim
(author),
A.
Anisimov
(author),
A.
Anisimov
(author),
A.J.
Levine
(author),
A.J.
Levine
(author),
B.
Liu
(author),
B.
Liu
(author),
V.
Petrov
(author),
V.
Petrov
(author),
M.
Daniël
(author),
M.
Daniël
(author),
J.I.
Hernández
(author),
J.I.
Hernández
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B.
Gómez
(author),
B.
Gómez
(author),
J.
Bos
(author),
J.
Bos
(author),
D.
Campi
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D.
Campi
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M.
Hansen
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M.
Hansen
(author),
J.
Harvey
(author),
J.
Harvey
(author),
H.
Hoffmann
(author),
H.
Hoffmann
(author),
R.J.
Loos
(author),
R.J.
Loos
(author),
X
Meng
(author),
X
Meng
(author),
F.E.
Meijers
(author),
F.E.
Meijers
(author),
M.
Mulders
(author),
M.
Mulders
(author),
L.
Orsini
(author),
L.
Orsini
(author),
E
Perez
(author),
E
Perez
(author),
A.
Sharma
(author),
A.
Sharma
(author),
S.
König
(author),
S.
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(author),
F.A.
Meier
(author),
F.A.
Meier
(author),
Z.
Chen
(author),
Z.
Chen
(author),
A.J.H.
Herve
(author),
A.J.H.
Herve
(author),
A.
Sanchez
(author),
A.
Sanchez
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J.
Tao
(author),
J.
Tao
(author),
M.
Weber
(author),
M.
Weber
(author),
A.
Schmidt
(author),
A.
Schmidt
(author),
Y.
Chang
(author),
Y.
Chang
(author),
E.
Chen
(author),
E.
Chen
(author),
W.
Chen
(author),
W.
Chen
(author),
A.C.S.
Go
(author),
A.C.S.
Go
(author),
C.
Kuo
(author),
C.
Kuo
(author),
S
Li
(author),
S
Li
(author),
W
Lin
(author),
W
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(author),
P.L.T.
Chang
(author),
P.L.T.
Chang
(author),
J
Wang
(author),
J
Wang
(author),
Y.
Chao
(author),
Y.
Chao
(author),
K.
Chen
(author),
K.
Chen
(author),
Y.
Lei
(author),
Y.
Lei
(author),
S.
Lin
(author),
S.
Lin
(author),
R.
Lu
(author),
R.
Lu
(author),
J
Schumann
(author),
J
Schumann
(author),
C.C.
Wang
(author),
C.C.
Wang
(author),
Charlie
Wang
(author),
Charlie
Wang
(author),
M.
Wang
(author),
M.
Wang
(author),
M.
Kaya
(author),
M.
Kaya
(author),
M.
Kaya
(author),
M.
Kaya
(author),
M.O.
Kaya
(author),
M.O.
Kaya
(author),
M.O.
Kaya
(author),
M.O.
Kaya
(author),
Z
Wang
(author),
Z
Wang
(author),
N.O.
Sonmez
(author),
N.O.
Sonmez
(author),
N.O.
Sonmez
(author),
N.O.
Sonmez
(author),
T.O.C.
Cheng
(author),
T.O.C.
Cheng
(author),
M.
Hansen
(author),
M.
Hansen
(author),
RR
Brown
(author),
RR
Brown
(author),
J.
Williams
(author),
J.
Williams
(author),
J.P.
Hays
(author),
J.P.
Hays
(author),
A.
Papageorgiou
(author),
A.
Papageorgiou
(author),
A.V.
Rose
(author),
A.V.
Rose
(author),
A.
Khan
(author),
A.
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(author),
R.E.
Taylor
(author),
R.E.
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Z.
Xue
(author),
Z.
Xue
(author),
J.
Rohlf
(author),
J.
Rohlf
(author),
S
Wu
(author),
S
Wu
(author),
S.
Bhattacharya
(author),
S.
Bhattacharya
(author),
D.C.C.
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(author),
D.C.C.
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(author),
P.
Cox
(author),
P.
Cox
(author),
H
Liu
(author),
H
Liu
(author),
M.
Nikolic
(author),
M.
Nikolic
(author),
J.N.V.
Smith
(author),
J.N.V.
Smith
(author),
M.
Tripathi
(author),
M.
Tripathi
(author),
J.H.C.
Hauser
(author),
J.H.C.
Hauser
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S.
Schmid
(author),
S.
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(author),
Z.
Zhang
(author),
Z.
Zhang
(author),
X.
Yang
(author),
X.
Yang
(author),
A.
Chandra
(author),
A.
Chandra
(author),
F.
LIU
(author),
F.
LIU
(author),
H
Liu
(author),
H
Liu
(author),
A.
Luthra
(author),
A.
Luthra
(author),
H.
Nguyen
(author),
H.
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(author),
B.
Shen
(author),
B.
Shen
(author),
V.
Sharma
(author),
V.
Sharma
(author),
S.C.
Simon
(author),
S.C.
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Y.
Ma
(author),
Y.
Ma
(author),
J.
Cai
(author),
J.
Cai
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Y.
Yang
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Y.
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L
Zhang
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L
Zhang
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K.
Zhu
(author),
K.
Zhu
(author),
R.
Zhu
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R.
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B.
Akgün
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B.
Akgün
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S.
Wagner
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S.
Wagner
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A.
Chatterjee
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A.
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A.
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S.
Das
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S.
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B.A.
Kreis
(author),
B.A.
Kreis
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VB
Kuznetsov
(author),
VB
Kuznetsov
(author),
Y.
GE
(author),
Y.
GE
(author),
X.
Shi
(author),
X.
Shi
(author),
W.
Sun
(author),
W.
Sun
(author),
W.Y.
Teo
(author),
W.Y.
Teo
(author),
Y.
Weng
(author),
Y.
Weng
(author),
S.
Banerjee
(author),
S.
Banerjee
(author),
P.
Bhat
(author),
P.
Bhat
(author),
J.G.
Butler
(author),
J.G.
Butler
(author),
H.Y.
Cheung
(author),
H.Y.
Cheung
(author),
D.M.J.
Dykstra
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D.M.J.
Dykstra
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L.
Feng
(author),
L.
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(author),
S.
GUO
(author),
S.
GUO
(author),
Y.
Guo
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Y.
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M.K.P.
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(author),
M.K.P.
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C.
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(author),
C.
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(author),
J.
Kaiser
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J.
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C.O.S.
Lei
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C.O.S.
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S.A.
Los
(author),
S.A.
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(author),
K.A.
Mishra
(author),
K.A.
Mishra
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R.V.
Rivera
(author),
R.V.
Rivera
(author),
S.
Ryu
(author),
S.
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S.
Sharma
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S.
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Z.
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Z.
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R.
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R.
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R.A.
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J.
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J.
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M
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J.
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J.
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B.
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B.
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D.
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D.
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L.
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L.
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Y.
Mao
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Y.
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J.L.
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J.L.
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M
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J
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K.
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K.
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M.G.A.
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M.G.A.
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MC
Castro
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MC
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D.
Hofman
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D.
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E.
Albayrak
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E.
Albayrak
(author),
RO
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RO
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S
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S
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L.F.K.
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S.
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S.
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J.
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J.
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K.W.A.
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K.W.A.
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Z.
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Z.
Guo
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N.Q.
Tran
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N.Q.
Tran
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Y
Zhang
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Y
Zhang
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S.J.
Sanders
(author),
S.J.
Sanders
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T.K.
Bolton
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T.K.
Bolton
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H.H.
Teng
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H.H.
Teng
(author),
A.
Liu
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A.
Liu
(author),
Z.
Wan
(author),
Z.
Wan
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D.J.
Wright
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D.J.
Wright
(author),
G.
Bauer
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G.
Bauer
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M.
Chan
(author),
M.
Chan
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Y.
Kim
(author),
Y.
Kim
(author),
Y.
Lee
(author),
Y.
Lee
(author),
W
Li
(author),
W
Li
(author),
T.
Ma
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T.
Ma
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M.
Rudolph
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M.
Rudolph
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B.
Zhu
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B.
Zhu
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S.
Xie
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S.
Xie
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A.
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A.
Yoon
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J.H.A.
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J.H.A.
Mans
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J
Zhang
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J
Zhang
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D.
Sanders
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D.
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D.
Claes
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D.
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J.
Keller
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J.
Keller
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S.
Malik
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S.
Malik
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A.
Kumar
(author),
A.
Kumar
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A
Kumar
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A
Kumar
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A
Kumar
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A.
Kumar
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A.
Kumar
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A
Kumar
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K.L.
Smith
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K.L.
Smith
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A.M.
Gomez
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A.M.
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L.I.P.
Taylor
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L.I.P.
Taylor
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S.
Won
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S.
Won
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D.K.
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J.
Gu
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J.
Gu
(author),
G.F.
Williams
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G.F.
Williams
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N.J.
Adam
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N.J.
Adam
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A.
Hunt
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A.
Hunt
(author),
Andres
Hunt
(author),
Andres
Hunt
(author),
J.C.
Jones
(author),
J.C.
Jones
(author),
E.A.
Laird
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E.A.
Laird
(author),
M.T.
Mooney
(author),
M.T.
Mooney
(author),
A
Fedorov
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A
Fedorov
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A.K.
Hektor
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A.K.
Hektor
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J.M.M.
Werner
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J.M.M.
Werner
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Z.
Xie
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Z.
Xie
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X
Huang
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X
Huang
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A.J.M.
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A.J.M.
Lopez
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N.I.
Ippolito
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N.I.
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M.
Jones
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M.
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C
Liu
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C
Liu
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H.W.
Yoo
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H.W.
Yoo
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Y.
Zheng
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Y.
Zheng
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P.
Jindal
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P.
Jindal
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L.D.
Gross
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L.D.
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F.
Geurts
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F.
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J
Liu
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J
Liu
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L.
Sabbatini
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L.
Sabbatini
(author),
Y.S.
Chung
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Y.S.
Chung
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M.A.
Bhatti
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M.A.
Bhatti
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M.
Yan
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M.
Yan
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S.
Thomas
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S.
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T.G.
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T.G.
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Z.
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Z.
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C.T.
Nguyen
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C.T.
Nguyen
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P.D.
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P.D.
van Hove
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S.
Sengupta
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S.
Sengupta
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H.
Kim
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H.
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S
Lee
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S
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BE
Cox
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BE
Cox
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M.H.
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M.H.
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S.
Dutta
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S.
Dutta
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A.
Mohapatra
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A.
Mohapatra
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W.M.
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W.M.
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T.R.
Le Grand
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T.R.
Le Grand
(author),
T.R.
Le Grand
(author),
K.T.J.
Klein
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K.T.J.
Klein
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M.C.O.
Thomas
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M.C.O.
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M.
Weber
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M.
Weber
(author),
G.
Hilgers
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G.
Hilgers
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G.
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A.
Meyer
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A.
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A.
Meyer
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S.A.
Schmitz
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S.A.
Schmitz
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S.A.
Schmitz
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M.
Hashemi
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M.
Hashemi
(author),
M.C.W.
Davids
(author),
M.C.W.
Davids
(author),
M.C.W.
Davids
(author),
M.M.
Duda
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M.M.
Duda
(author),
M.M.
Duda
(author),
A.
Meyer
(author),
A.
Meyer
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R.
Schmidt
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R.
Schmidt
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C.C.
Wissing
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C.C.
Wissing
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C.
Sander
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C.
Sander
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Commissioning studies of the CMS hadron calorimeter have identified sporadic uncharacteristic noise and a small number of malfunctioning calorimeter channels. Algorithms have been developed to identify and address these problems in the data. The methods have been tested on cosmic
...
Commissioning studies of the CMS hadron calorimeter have identified sporadic uncharacteristic noise and a small number of malfunctioning calorimeter channels. Algorithms have been developed to identify and address these problems in the data. The methods have been tested on cosmic ray muon data, calorimeter noise data, and single beam data collected with CMS in 2008. The noise rejection algorithms can be applied to LHC collision data at the trigger level or in the offline analysis. The application of the algorithms at the trigger level is shown to remove 90% of noise events with fake missing transverse energy above 100 GeV, which is sufficient for the CMS physics trigger operation.
@en