LAFACE, Pietro
 Distribuzione geografica
Continente #
NA - Nord America 7.326
AS - Asia 5.292
EU - Europa 4.469
AF - Africa 344
SA - Sud America 131
OC - Oceania 85
Continente sconosciuto - Info sul continente non disponibili 3
Totale 17.650
Nazione #
US - Stati Uniti d'America 7.108
CN - Cina 3.531
IT - Italia 1.174
DE - Germania 803
GB - Regno Unito 509
FR - Francia 479
IN - India 467
KR - Corea 296
JP - Giappone 278
RU - Federazione Russa 247
ES - Italia 231
CA - Canada 168
NL - Olanda 160
IE - Irlanda 122
IR - Iran 110
SG - Singapore 107
GR - Grecia 82
AU - Australia 80
MY - Malesia 77
UA - Ucraina 76
BR - Brasile 75
DZ - Algeria 73
MA - Marocco 66
TW - Taiwan 64
VN - Vietnam 61
HK - Hong Kong 60
ZA - Sudafrica 60
TR - Turchia 59
ID - Indonesia 58
FI - Finlandia 57
CZ - Repubblica Ceca 56
PL - Polonia 56
CH - Svizzera 54
EG - Egitto 52
SE - Svezia 48
EU - Europa 42
MX - Messico 34
ET - Etiopia 29
DK - Danimarca 28
RO - Romania 28
CL - Cile 25
IL - Israele 24
TN - Tunisia 24
AP - ???statistics.table.value.countryCode.AP??? 23
BE - Belgio 23
LT - Lituania 23
PT - Portogallo 23
AT - Austria 21
NG - Nigeria 20
PK - Pakistan 17
PH - Filippine 16
AR - Argentina 15
CU - Cuba 13
RS - Serbia 13
KP - Corea 12
HU - Ungheria 11
NO - Norvegia 11
SA - Arabia Saudita 11
SK - Slovacchia (Repubblica Slovacca) 10
CO - Colombia 9
KZ - Kazakistan 8
MM - Myanmar 8
SI - Slovenia 7
TH - Thailandia 7
UZ - Uzbekistan 7
AL - Albania 6
JO - Giordania 6
LU - Lussemburgo 6
EE - Estonia 5
AE - Emirati Arabi Uniti 4
BD - Bangladesh 4
CI - Costa d'Avorio 4
KE - Kenya 4
LV - Lettonia 4
QA - Qatar 4
SD - Sudan 4
VE - Venezuela 4
YE - Yemen 4
IQ - Iraq 3
LB - Libano 3
LK - Sri Lanka 3
LY - Libia 3
NZ - Nuova Zelanda 3
PE - Perù 3
PS - Palestinian Territory 3
BG - Bulgaria 2
CY - Cipro 2
FJ - Figi 2
HN - Honduras 2
IS - Islanda 2
KH - Cambogia 2
MN - Mongolia 2
SC - Seychelles 2
ZW - Zimbabwe 2
AZ - Azerbaigian 1
BA - Bosnia-Erzegovina 1
BH - Bahrain 1
BZ - Belize 1
CM - Camerun 1
GE - Georgia 1
Totale 17.650
Città #
Beijing 1.504
Hangzhou 1.267
Seattle 828
Houston 624
Fairfield 622
Ashburn 554
Turin 414
Mountain View 353
Ann Arbor 318
Woodbridge 280
Santa Cruz 274
Shenzhen 272
Wilmington 237
Buffalo 236
Cambridge 211
San Ramon 204
Southend 133
Boardman 126
Saint Petersburg 120
Dublin 113
Seoul 112
Madrid 103
Herkenbosch 102
Höst 94
San Diego 81
Torino 77
University Park 76
Baltimore 71
Los Angeles 71
Wuhan 67
Bengaluru 64
Milan 64
Las Vegas 61
Toronto 60
Abiko 57
Singapore 57
Chicago 54
London 51
Shanghai 50
Hefei 48
Tokyo 42
Bangalore 41
Guangzhou 39
Taipei 39
Atlanta 38
Dong Ket 38
San Jose 37
Darmstadt 36
Redmond 36
Muizenberg 34
Phoenix 34
Aachen 32
Fremont 32
San Francisco 32
Tianjin 32
Vigone 32
Moscow 31
Brno 30
Mumbai 30
Paris 30
Sion 30
Guwahati 29
Zaragoza 29
Barcelona 27
Clearwater 27
Istanbul 27
Montréal 27
Ottawa 27
Rome 26
Chennai 25
Harbin 25
Xian 25
Krakow 24
Athens 23
Chandler 23
Chengdu 23
Norwalk 23
Denver 22
Scranton 22
Cairo 21
Henderson 21
San Mateo 21
Central District 20
Hanoi 20
Joensuu 20
Riva 20
Balik Pulau 19
Nanjing 19
Pune 19
Suzhou 19
Varese 19
Boydton 18
Kolkata 18
New York 18
San Donato Milanese 18
Stamford 18
Amsterdam 17
Casablanca 17
Richardson 17
Stockholm 17
Totale 11.685
Nome #
Parallel implementation of Artificial Neural Network training for speech recognition, file e384c42e-03db-d4b2-e053-9f05fe0a1d67 1.289
Pairwise Discriminative Speaker Verification in the I-Vector Space, file e384c42e-26db-d4b2-e053-9f05fe0a1d67 741
Nuance - Politecnico di Torino’s 2012 NIST Speaker Recognition Evaluation System, file e384c42e-2e40-d4b2-e053-9f05fe0a1d67 736
Analysis of Large-Scale SVM Training Algorithms for Language and Speaker Recognition, file e384c42e-181d-d4b2-e053-9f05fe0a1d67 716
Large scale training of Pairwise Support Vector Machines for speaker recognition, file e384c42e-351e-d4b2-e053-9f05fe0a1d67 635
Speaker recognition by means of Deep Belief Networks, file e384c42e-27fb-d4b2-e053-9f05fe0a1d67 611
Compensation of Nuisance Factors for Speaker and Language Recognition, file e384c42d-f637-d4b2-e053-9f05fe0a1d67 594
Comparison of speaker recognition approaches for real applications, file e384c42e-0dd1-d4b2-e053-9f05fe0a1d67 588
Fast and Memory Effective I-Vector Extraction Using a Factorized Sub-Space, file e384c42e-2e41-d4b2-e053-9f05fe0a1d67 588
Linear hidden transformations for adaptation of hybrid ANN/HMM models, file e384c42d-f955-d4b2-e053-9f05fe0a1d67 554
Factorized Sub-Space Estimation for Fast and Memory Effective I-vector Extraction, file e384c42e-2acf-d4b2-e053-9f05fe0a1d67 526
Channel Factors Compensation in Model and Feature Domain for Speaker Recognition, file e384c42d-f212-d4b2-e053-9f05fe0a1d67 504
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting, file e384c42e-0538-d4b2-e053-9f05fe0a1d67 476
Parallel implementation of artificial neural network training, file e384c42e-0b57-d4b2-e053-9f05fe0a1d67 474
Loquendo - Politecnico di Torino's 2006 NIST Speaker Recognition Evaluation System, file e384c42d-f504-d4b2-e053-9f05fe0a1d67 456
Training pairwise Support Vector Machines with large scale datasets, file e384c42e-3353-d4b2-e053-9f05fe0a1d67 446
FAST DISCRIMINATIVE SPEAKER VERIFICATION IN THE I–VECTOR SPACE, file e384c42e-0c4e-d4b2-e053-9f05fe0a1d67 440
Memory-aware i-vector extraction by means of subspace factorization, file e384c42e-376b-d4b2-e053-9f05fe0a1d67 414
GENDER INDEPENDENT DISCRIMINATIVE SPEAKER RECOGNITION IN I–VECTOR SPACE, file e384c42e-181f-d4b2-e053-9f05fe0a1d67 410
Directory Assistance: Learning User Formulations for Business Listings, file e384c42d-f1ae-d4b2-e053-9f05fe0a1d67 378
Adaptation of Hybrid ANN/HMM Models using Linear Hidden Transformations and Conservative Training, file e384c42e-0539-d4b2-e053-9f05fe0a1d67 376
On the use of i-vector posterior distributions in Probabilistic Linear Discriminant Analysis, file e384c42e-9977-d4b2-e053-9f05fe0a1d67 374
Learning New User Formulations in Automatic Directory Assistance., file e384c42d-f1af-d4b2-e053-9f05fe0a1d67 357
Memory and computation trade-offs for efficient i-vector extraction, file e384c42e-96a2-d4b2-e053-9f05fe0a1d67 333
Learning Pronunciation and Formulation Variants in Continuous Speech Applications, file e384c42d-f1b2-d4b2-e053-9f05fe0a1d67 331
On the Use of a Multilingual Neural Network Front-End, file e384c42d-ff54-d4b2-e053-9f05fe0a1d67 329
LOQUENDO-POLITECNICO DI TORINO SYSTEM FOR THE 2009 NIST LANGUAGE RECOGNITION EVALUATION, file e384c42e-0b55-d4b2-e053-9f05fe0a1d67 322
Loquendo - Politecnico di Torino’s 2008 NIST Speaker Recognition Evaluation System, file e384c42e-086e-d4b2-e053-9f05fe0a1d67 303
Generative pairwise models for speaker recognition, file e384c42e-3355-d4b2-e053-9f05fe0a1d67 301
Acoustic Language Identification Using Fast Discriminative Training, file e384c42d-f503-d4b2-e053-9f05fe0a1d67 287
LOQUENDO - POLITECNICO DI TORINO’S 2010 NISTSPEAKER RECOGNITION EVALUATION SYSTEM, file e384c42e-0c4f-d4b2-e053-9f05fe0a1d67 282
Memory and computation effective approaches for i–vector extraction, file e384c42e-1c9c-d4b2-e053-9f05fe0a1d67 232
Experiments in Confidence Scoring for Word and Sentence Verification., file e384c42d-f1b0-d4b2-e053-9f05fe0a1d67 226
A Confidence Measure Invariant to Language and Grammar, file e384c42d-f20f-d4b2-e053-9f05fe0a1d67 219
Politecnico di Torino System for the 2007 NIST Language Recognition Evaluation, file e384c42d-ff53-d4b2-e053-9f05fe0a1d67 218
Speeding-up Neural Network Training Using Sentence and Frame Selection, file e384c42d-f505-d4b2-e053-9f05fe0a1d67 208
Language Recognition Using Language Factors, file e384c42e-04f6-d4b2-e053-9f05fe0a1d67 199
Language Identification Using Acoustic Models an Speaker Compensated Cepstral-Time Matrices, file e384c42d-f506-d4b2-e053-9f05fe0a1d67 167
Comparison of Large–scale SVM Training Algorithms for Language Recognition, file e384c42e-144a-d4b2-e053-9f05fe0a1d67 159
Adapting Hybrid ANN/HMM to Speech Variations, file e384c42e-3c9c-d4b2-e053-9f05fe0a1d67 159
Unsupervised Segmentation and Verification of Multi-Speaker Conversational Speech, file e384c42d-f210-d4b2-e053-9f05fe0a1d67 152
Joint estimation of PLDA and nonlinear transformations of speaker vectors, file e384c42f-b3c5-d4b2-e053-9f05fe0a1d67 148
Word Confidence Using Duration Models, file e384c42e-04f5-d4b2-e053-9f05fe0a1d67 146
Speaker Recognition using Channel Factor Feature Compensation, file e384c42d-f211-d4b2-e053-9f05fe0a1d67 144
Learning of User Formulations for Business Listings in Automatic Directory Assistance, file e384c42d-f1b1-d4b2-e053-9f05fe0a1d67 139
Synergy of Spectral and Perceptual Features in Multi-source Connectionist Speech Recognition, file e384c42d-f1ac-d4b2-e053-9f05fe0a1d67 126
Toward Automatic Adaptationof the Acoustic Models and of the Formulation Variants in a Directory Assistance Application, file e384c42d-f1ad-d4b2-e053-9f05fe0a1d67 97
Speaker Recognition Using e–Vectors, file e384c42f-f1a0-d4b2-e053-9f05fe0a1d67 87
Scoring heterogeneous speaker vectors using nonlinear transformations and tied PLDa models, file e384c430-1843-d4b2-e053-9f05fe0a1d67 45
Exact memory–constrained UPGMA for large scale speaker clustering, file e384c431-55df-d4b2-e053-9f05fe0a1d67 13
Nuance - Politecnico di Torino’s 2016 NIST Speaker Recognition Evaluation System, file e384c42f-b88c-d4b2-e053-9f05fe0a1d67 4
Exact memory–constrained UPGMA for large scale speaker clustering, file e384c431-67c7-d4b2-e053-9f05fe0a1d67 4
Speaker recognition by means of acoustic and phonetically informed GMMs, file e384c42d-4cd0-d4b2-e053-9f05fe0a1d67 3
I–vector transformation and scaling for PLDA based speaker recognition, file e384c42e-cd37-d4b2-e053-9f05fe0a1d67 2
Tied Normal Variance-Mean Mixtures for Linear Score Calibration, file e384c430-eec2-d4b2-e053-9f05fe0a1d67 2
On the use of i-vector posterior distributions in Probabilistic Linear Discriminant Analysis, file e384c431-aa47-d4b2-e053-9f05fe0a1d67 2
Stream-Based Speaker Segmentation Using Speaker Factors and Eigenvoices, file e384c42d-fd41-d4b2-e053-9f05fe0a1d67 1
FAST SPEAKER RECOGNITION SCORING USING I-VECTOR POSTERIORS AND PROBABILISTIC LINEAR DISCRIMINANT ANALYSIS, file e384c42e-f4ff-d4b2-e053-9f05fe0a1d67 1
Nonlinear i-vector transformations for PLDA-based speaker recognition, file e384c42f-6ac1-d4b2-e053-9f05fe0a1d67 1
E--vectors: JFA and i--vectors revisited, file e384c42f-7547-d4b2-e053-9f05fe0a1d67 1
Joint estimation of PLDA and nonlinear transformations of speaker vectors, file e384c432-21f5-d4b2-e053-9f05fe0a1d67 1
Scoring heterogeneous speaker vectors using nonlinear transformations and tied PLDa models, file e384c433-287c-d4b2-e053-9f05fe0a1d67 1
Totale 18.078
Categoria #
all - tutte 32.591
article - articoli 9.882
book - libri 0
conference - conferenze 22.706
curatela - curatele 0
other - altro 0
patent - brevetti 3
selected - selezionate 0
volume - volumi 0
Totale 65.182


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2018/2019644 0 0 0 0 0 0 0 0 0 153 253 238
2019/20201.521 166 119 77 169 174 156 146 122 172 74 82 64
2020/20211.309 66 155 76 132 165 94 106 110 50 96 121 138
2021/20222.031 99 123 91 396 311 101 171 50 49 145 365 130
2022/2023972 58 94 233 139 38 126 84 77 72 41 10 0
2023/202410 0 0 0 0 0 0 0 5 5 0 0 0
Totale 18.078