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Source__TitleSource__YearSource__Author__Author__NameList__Person__LastSource__Author__Author__NameList__Person__FirstMong muốnSource__TitleSource__Year
Source__Author__Author__NameList__Person__Last
Source__Author__Author__NameList__Person__First
2
Measuring dialect pronunciation differences using Levenshtein distance2004HeeringaWilbert Jan
Measuring dialect pronunciation differences using Levenshtein distance
2004HeeringaWilbert Jan
3
Method and apparatus for channel estimation2001Vandenameele-LeplaPatrick
Method and apparatus for channel estimation
2001
Vandenameele-Lepla
Patrick
4
Bow: a toolkit for statistical language modeling1996MccallumAndrew
Bow: a toolkit for statistical language modeling
1996MccallumAndrew
5
Building a Treebank for French2003AbeilléAnne
Building a Treebank for French
2003AbeilléAnne
6
ClémentLionel
Building a Treebank for French
Building a Treebank for French
ClémentLionel
7
ToussenelFrançois
Building a Treebank for French
Building a Treebank for French
ToussenelFrançois
8
Unsupervised spoken keyword spotting via segmental DTW on Gaussian posteriorgrams2009ZhangYaodong
Unsupervised spoken keyword spotting via segmental DTW on Gaussian posteriorgrams
Unsupervised spoken keyword spotting via segmental DTW on Gaussian posteriorgrams
2009ZhangYaodong
9
GlassJames R.
Unsupervised spoken keyword spotting via segmental DTW on Gaussian posteriorgrams
Unsupervised spoken keyword spotting via segmental DTW on Gaussian posteriorgrams
GlassJames R.
10
IEEE International Conference on Computer Vision and Pattern Recognition2008DaubneyBen
IEEE International Conference on Computer Vision and Pattern Recognition
IEEE International Conference on Computer Vision and Pattern Recognition
2008DaubneyBen
11
GibsonDavid
IEEE International Conference on Computer Vision and Pattern Recognition
IEEE International Conference on Computer Vision and Pattern Recognition
GibsonDavid
12
CampbellNeill W
IEEE International Conference on Computer Vision and Pattern Recognition
IEEE International Conference on Computer Vision and Pattern Recognition
CampbellNeill W
13
Handwritten Numeral Databases of Indian Scripts and Multistage Recognition of Mixed Numerals2009BhattacharyaUjjwal
Handwritten Numeral Databases of Indian Scripts and Multistage Recognition of Mixed Numerals
Handwritten Numeral Databases of Indian Scripts and Multistage Recognition of Mixed Numerals
2009BhattacharyaUjjwal
14
ChaudhuriBidyut Baran
Handwritten Numeral Databases of Indian Scripts and Multistage Recognition of Mixed Numerals
Handwritten Numeral Databases of Indian Scripts and Multistage Recognition of Mixed Numerals
ChaudhuriBidyut Baran
15
Tonal Pitch Space2001LerdahlFred
Tonal Pitch Space
Tonal Pitch Space
2001LerdahlFred
16
The AMI Meeting Corpus: A Pre-announcement2006CarlettaJ.
The AMI Meeting Corpus: A Pre-announcement
The AMI Meeting Corpus: A Pre-announcement
2006CarlettaJ.
17
AshbyS.
The AMI Meeting Corpus: A Pre-announcement
The AMI Meeting Corpus: A Pre-announcement
AshbyS.
18
BourbanS.
The AMI Meeting Corpus: A Pre-announcement
The AMI Meeting Corpus: A Pre-announcement
BourbanS.
19
FlynnM.
The AMI Meeting Corpus: A Pre-announcement
The AMI Meeting Corpus: A Pre-announcement
FlynnM.
20
GuillemotM.
The AMI Meeting Corpus: A Pre-announcement
The AMI Meeting Corpus: A Pre-announcement
GuillemotM.
21
HainT.
The AMI Meeting Corpus: A Pre-announcement
The AMI Meeting Corpus: A Pre-announcement
HainT.
22
KadlecJ.
The AMI Meeting Corpus: A Pre-announcement
The AMI Meeting Corpus: A Pre-announcement
KadlecJ.
23
KaraiskosV.
The AMI Meeting Corpus: A Pre-announcement
The AMI Meeting Corpus: A Pre-announcement
KaraiskosV.
24
KraaijW.
The AMI Meeting Corpus: A Pre-announcement
The AMI Meeting Corpus: A Pre-announcement
KraaijW.
25
KronenthalM.
The AMI Meeting Corpus: A Pre-announcement
The AMI Meeting Corpus: A Pre-announcement
KronenthalM.
26
LathoudG.
The AMI Meeting Corpus: A Pre-announcement
The AMI Meeting Corpus: A Pre-announcement
LathoudG.
27
LincolnM.
The AMI Meeting Corpus: A Pre-announcement
The AMI Meeting Corpus: A Pre-announcement
LincolnM.
28
LisowskaA.
The AMI Meeting Corpus: A Pre-announcement
The AMI Meeting Corpus: A Pre-announcement
LisowskaA.
29
McCowanL.
The AMI Meeting Corpus: A Pre-announcement
The AMI Meeting Corpus: A Pre-announcement
McCowanL.
30
PostW.
The AMI Meeting Corpus: A Pre-announcement
The AMI Meeting Corpus: A Pre-announcement
PostW.
31
ReidsmaD.
The AMI Meeting Corpus: A Pre-announcement
The AMI Meeting Corpus: A Pre-announcement
ReidsmaD.
32
WellnerP.
The AMI Meeting Corpus: A Pre-announcement
The AMI Meeting Corpus: A Pre-announcement
WellnerP.
33
Natural Image Statistics2009HyvarinenAapo
34
HurriJarmo
35
HoyerPatrik O.
36
A Primer on Wavelets and Their Scientific Applications1999WalkerJames S.
37
Particle filtering algorithms for tracking an acoustic source in a reverberant environment2003WardDarren B.
38
LehmannEric A.
39
WilliamsonRobert C.
40
Spoken language understanding : systems for extracting semantic information from speech2011TurGokhan
41
MoriRenato De
42
Fusion of Heterogeneous Speaker Recognition Systems in the STBU Submission for the NIST Speaker Recognition Evaluation 20062007BrummerN.
43
BurgetL.
44
CernockyJ. H.
45
GlembekO.
46
GrezlF.
47
KarafiatM.
48
LeeuwenD. A. van
49
MatejkaP.
50
SchwarzP.
51
StrasheimA.
52
Approaches and applications of audio diarization2005ReynoldsDouglas A.
53
Torres-CarrasquilloPedro A.
54
Multiple fundamental frequency estimation based on harmonicity and spectral smoothness2003KlapuriAnssi P.
55
Application of Deep Belief Networks for natural language understanding2014SarikayaRuhi
56
HintonGeoffrey E.
57
DeorasAnoop
58
Singing-voice separation from monaural recordings using robust principal component analysis2012HuangPo Sen
59
ChenScott Deeann
60
SmaragdisParis
61
Hasegawa-JohnsonMark
62
위험전압 검토에 따른 개선된 접지설비 모델2008홍순석
63
신복성
64
Machine learning for real-time single-trial EEG-analysis: from brain-computer interfacing to mental state monitoring.2008MüllerKlaus-Robert
65
TangermannMichael
66
DornhegeGuido
67
KrauledatMatthias
68
CurioGabriel
69
BlankertzBenjamin
70
Chord Segmentation and Recognition using EM-Trained Hidden Markov Models2003ShehAlexander
71
EllisDaniel P. W.
72
A binaural room impulse response database for the evaluation of dereverberation algorithms2009JeubMarco
73
SchaferMagnus
74
VaryPeter
75
Minimum prediction residual principle applied to speech recognition1975ItakuraFumitada
76
The TREC spoken document retrieval track: a success story2000GarofoloJohn S.
77
AuzanneCedric G. P.
78
VoorheesEllen M.
79
Speech and Audio Signal Processing2011LeeuwenD.A. van
80
Speech recognition in noise as a function of the number of spectral channels : Comparison of acoustic hearing and cochlear implants2001FriesenLendra M.
81
ShannonRobert V.
82
BaskentDeniz
83
WangXiaosong
84
Design and description of CS-ACELP: a toll quality 8 kb/s speech coder1998SalamiRedwan
85
LaflammeClaude
86
AdoulJean-Pierre
87
KataokaAkitoshi
88
HayashiShinji
89
MoriyaTakehiro
90
LamblinClaude
91
MassalouxDominique
92
ProustStéphane
93
KroonPeter
94
ShohamYair
95
Toward a Broad-coverage Bilingual Corpus for Speech Translation of Travel Conversations in the Real World.2002TakezawaToshiyuki
96
SumitaEiichiro
97
SugayaFumiaki
98
YamamotoHirofumi
99
YamamotoSeiichi
100
Building a Large Annotated Corpus of Learner English: The NUS Corpus of Learner English2013DahlmeierDaniel