| Md Jahangir Alam |
Deep Neural Networks for extracting Baum-Welch statistics for Speaker Recognition |
| Md Jahangir Alam |
Supervised/Unsupervised Voice Activity Detectors for Text-dependent Speaker Recognition on the RSR2015 Corpus |
| Federico Alegre |
Short-Duration Speaker Modelling with Phone Adaptive Training
|
| Hagai Aronowitz |
Compensating Inter-Dataset Variability in PLDA Hyper-Parameters for Robust Speaker Recognition |
| Mathieu Avanzi |
Swiss French Regional Accent Identification
|
| Mohamad Hasan Bahari |
GMM Weights Adaptation Based on Subspace Approaches for Speaker Verification |
| Désiré Bansé |
The NIST 2014 Speaker Recognition i-vector Machine Learning Challenge |
| Claude Barras |
Person Instance Graphs for Named Speaker Identification in TV Broadcast |
| Christophe Beaugeant |
Short-Duration Speaker Modelling with Phone Adaptive Training
|
| Samy Bengio |
Telephone Conversation Speaker Diarization Using Mealy-HMMs |
| Sangeeta Biswas |
Discriminative PLDA training with application-specific loss functions for speaker verification |
| Sangeeta Biswas |
i-Vector Selection for Effective PLDA Modeling in Speaker Recognition |
| Jean-François Bonastre |
Exploring some limits of Gaussian PLDA modeling for i-vector distributions |
| Jean-François Bonastre |
Telephone Conversation Speaker Diarization Using Mealy-HMMs |
| Herve Bourlard |
Modeling Overlapping Speech using Vector Taylor Series |
| Pierre-Michel Bousquet |
Exploring some limits of Gaussian PLDA modeling for i-vector distributions |
| Jos Bouten |
NFI-FRITS: A forensic speaker recognition database and some first experiments |
| Simon Bozonnet |
Short-Duration Speaker Modelling with Phone Adaptive Training
|
| Hervé Bredin |
Person Instance Graphs for Named Speaker Identification in TV Broadcast |
| Niko Brümmer |
A comparison of linear and non-linear calibrations for speaker recognition |
| Niko Brümmer |
Unsupervised Domain Adaptation for I-Vector Speaker Recognition
|
| Lukas Burget |
GMM Weights Adaptation Based on Subspace Approaches for Speaker Verification |
| Christoph Busch |
Towards Duration Invariance of i-Vector-based Adaptive Score Normalization |
| Liping Chen |
Local Variability Modeling for Text-Independent Speaker Verification |
| Sandro Cumani |
Generative pairwise models for speaker recognition |
| Lirong Dai |
Local Variability Modeling for Text-Independent Speaker Verification |
| Najim Dehak |
GMM Weights Adaptation Based on Subspace Approaches for Speaker Verification |
| Reda Déhak |
GMM Weights Adaptation Based on Subspace Approaches for Speaker Verification |
| Paul Deléglise |
Recent Improvements on ILP-based Clustering for Broadcast News Speaker Diarization |
| Kris Demuynck |
Combining Joint Factor Analysis and iVectors for Robust Language Recognition |
| Brecht Desplanques |
Combining Joint Factor Analysis and iVectors for Robust Language Recognition |
| Pranay Dighe |
Modeling Overlapping Speech using Vector Taylor Series |
| Simon Dobrisek |
Incorporating Duration Information into I-Vector-Based Speaker Recognition Systems |
| George R. Doddington |
NIST Language Recognition Evaluation – Past and Future |
| George R. Doddington |
Effects of the New Testing Paradigm of the 2012 NIST Speaker Recognition Evaluation |
| George R. Doddington |
The NIST 2014 Speaker Recognition i-vector Machine Learning Challenge |
| Pierre Dumouchel |
Supervised/Unsupervised Voice Activity Detectors for Text-dependent Speaker Recognition on the RSR2015 Corpus |
| Grégor Dupuy |
Recent Improvements on ILP-based Clustering for Broadcast News Speaker Diarization |
| Laurent El Shafey |
Hierarchical speaker clustering methods for the NIST i-vector Challenge |
| Hakan Erdogan |
A Latent Dirichlet Allocation Based Front-End for Speaker Verification |
| Yannick Estève |
Recent Improvements on ILP-based Clustering for Broadcast News Speaker Diarization |
| Nicholas Evans |
Short-Duration Speaker Modelling with Phone Adaptive Training
|
| Laura Fernandez Gallardo |
Spectral Sub-band Analysis of Speaker Verification Employing Narrowband and Wideband Speech |
| Marc Ferras |
Modeling Overlapping Speech using Vector Taylor Series |
| Marc Ferras |
Hierarchical speaker clustering methods for the NIST i-vector Challenge |
| Luciana Ferrer |
Application of Convolutional Neural Networks to Language Identification in Noisy Conditions |
| Luciana Ferrer |
Trial-based Calibration for Speaker Recognition in Unseen Conditions |
| Javier Franco-Pedroso |
What are we missing with i-vectors? A perceptual analysis of i-vector-based falsely accepted trials |
| Daniel Garcia-Romero |
Unsupervised Clustering Approaches for Domain Adaptation in Speaker Recognition Systems |
| Daniel Garcia-Romero |
Unsupervised Domain Adaptation for I-Vector Speaker Recognition
|
| Daniel Garcia-Romero |
The NIST 2014 Speaker Recognition i-vector Machine Learning Challenge |
| Philip N. Garner |
Swiss French Regional Accent Identification
|
| Omid Ghahabi |
i-Vector Modeling with Deep Belief Networks for Multi-Session Speaker Recognition |
| Juana Gil |
What are we missing with i-vectors? A perceptual analysis of i-vector-based falsely accepted trials |
| Ondrej Glembek |
Neural Network Bottleneck Features for Language Identification |
| John J. Godfrey |
The NIST 2014 Speaker Recognition i-vector Machine Learning Challenge |
| John J. Godfrey |
NIST Language Recognition Evaluation – Past and Future |
| John J. Godfrey |
Effects of the New Testing Paradigm of the 2012 NIST Speaker Recognition Evaluation |
| Jean-Philippe Goldman |
Swiss French Regional Accent Identification
|
| Rosa Gonzalez Hautamäki |
Comparison of human listeners and speaker verification systems using voice mimicry data |
| Joaquin Gonzalez-Rodriguez |
What are we missing with i-vectors? A perceptual analysis of i-vector-based falsely accepted trials |
| Craig S. Greenberg |
NIST Language Recognition Evaluation – Past and Future |
| Craig S. Greenberg |
Effects of the New Testing Paradigm of the 2012 NIST Speaker Recognition Evaluation |
| Craig Greenberg |
The NIST 2014 Speaker Recognition i-vector Machine Learning Challenge |
| Wu Guo |
Local Variability Modeling for Text-Independent Speaker Verification |
| Vishwa Gupta |
Deep Neural Networks for extracting Baum-Welch statistics for Speaker Recognition |
| John H.L. Hansen |
Supra-Segmental Feature Based Speaker Trait Detection
|
| John H.L. Hansen |
Robust Language Recognition Based on Diverse Features |
| John H.L. Hansen |
Investigating State-of-the-Art Speaker Verification in the case of Unlabeled Development Data |
| Ville Hautamäki |
Comparison of human listeners and speaker verification systems using voice mimicry data |
| Javier Hernando |
i-Vector Modeling with Deep Belief Networks for Multi-Session Speaker Recognition |
| Keikichi Hirose |
Speaker-basis Accent Clustering Using Invariant Structure Analysis and the Speech Accent Archive |
| Mohammad Mahdi Homayounpour |
Linearly Constrained Minimum Variance for Robust I-vector Based Speaker Recognition |
| John M. Howard |
NIST Language Recognition Evaluation – Past and Future |
| John M. Howard |
Effects of the New Testing Paradigm of the 2012 NIST Speaker Recognition Evaluation |
| Yusuf Ziya Işık |
A Latent Dirichlet Allocation Based Front-End for Speaker Verification |
| Alam Jahangir |
Joint Factor Analysis for Text-Dependent Speaker Verification |
| Weiwu Jiang |
An Integration of Random Subspace Sampling and Fishervoice for Speaker Verification |
| Shun Kasahara |
Speaker-basis Accent Clustering Using Invariant Structure Analysis and the Speech Accent Archive |
| Klaus Kasper |
Towards Duration Invariance of i-Vector-based Adaptive Score Normalization |
| Patrick Kenny |
Joint Factor Analysis for Text-Dependent Speaker Verification |
| Patrick Kenny |
Deep Neural Networks for extracting Baum-Welch statistics for Speaker Recognition |
| Patrick Kenny |
Supervised/Unsupervised Voice Activity Detectors for Text-dependent Speaker Recognition on the RSR2015 Corpus |
| Abbas Khosravani |
Linearly Constrained Minimum Variance for Robust I-vector Based Speaker Recognition |
| Elie Khoury |
Swiss French Regional Accent Identification
|
| Elie Khoury |
Hierarchical speaker clustering methods for the NIST i-vector Challenge |
| Tomi Kinnunen |
Comparison of human listeners and speaker verification systems using voice mimicry data |
| Tomi Kinnunen |
The NIST 2014 Speaker Recognition i-vector Machine Learning Challenge |
| Marcel Kockmann |
Joint Factor Analysis for Text-Dependent Speaker Verification |
| Vinay Kumar |
Allpass modelling of Fourier phase for speaker verification |
| Pietro Laface |
Generative pairwise models for speaker recognition |
| Itshak Lapidot |
Telephone Conversation Speaker Diarization Using Mealy-HMMs |
| Anne-Maria Laukkanen |
Comparison of human listeners and speaker verification systems using voice mimicry data |
| Antoine Laurent |
Person Instance Graphs for Named Speaker Identification in TV Broadcast |
| Aaron Lawson |
Application of Convolutional Neural Networks to Language Identification in Noisy Conditions |
| Aaron Lawson |
Trial-based Calibration for Speaker Recognition in Unseen Conditions |
| Alexandros Lazaridis |
Swiss French Regional Accent Identification
|
| Viet-Bac Le |
Person Instance Graphs for Named Speaker Identification in TV Broadcast |
| Kong Aik Lee |
Text-Dependent Speaker Verification System in VHF Communication Channel |
| Kong Aik Lee |
Local Variability Modeling for Text-Independent Speaker Verification |
| Yun Lei |
Application of Convolutional Neural Networks to Language Identification in Noisy Conditions |
| Yun Lei |
Trial-based Calibration for Speaker Recognition in Unseen Conditions |
| Zhifeng Li |
An Integration of Random Subspace Sampling and Fishervoice for Speaker Verification |
| Na Li |
An Integration of Random Subspace Sampling and Fishervoice for Speaker Verification |
| Haizhou Li |
Text-Dependent Speaker Verification System in VHF Communication Channel |
| Haizhou Li |
Local Variability Modeling for Text-Independent Speaker Verification |
| Zhi-Yi Li |
Text-Independent Speaker Verification via State Alignment |
| Wei-Wei Liu |
Text-Independent Speaker Verification via State Alignment |
| Jia Liu |
Text-Independent Speaker Verification via State Alignment |
| Gang Liu |
Supra-Segmental Feature Based Speaker Trait Detection
|
| Gang Liu |
Robust Language Recognition Based on Diverse Features |
| Gang Liu |
Investigating State-of-the-Art Speaker Verification in the case of Unlabeled Development Data |
| Jeff Ma |
Neural Network Bottleneck Features for Language Identification |
| Bin Ma |
Text-Dependent Speaker Verification System in VHF Communication Channel |
| Bin Ma |
Local Variability Modeling for Text-Independent Speaker Verification |
| Takehiko Makino |
Speaker-basis Accent Clustering Using Invariant Structure Analysis and the Speech Accent Archive |
| Sri Harish Mallidi |
Neural Network Bottleneck Features for Language Identification |
| Sébastien Marcel |
Swiss French Regional Accent Identification
|
| Sébastien Marcel |
Hierarchical speaker clustering methods for the NIST i-vector Challenge |
| Jean-Pierre Martens |
Combining Joint Factor Analysis and iVectors for Robust Language Recognition |
| Alvin Martin |
The NIST 2014 Speaker Recognition i-vector Machine Learning Challenge |
| Alvin F. Martin |
NIST Language Recognition Evaluation – Past and Future |
| Alvin F. Martin |
Effects of the New Testing Paradigm of the 2012 NIST Speaker Recognition Evaluation |
| Pavel Matejka |
Neural Network Bottleneck Features for Language Identification |
| Driss Matrouf |
Exploring some limits of Gaussian PLDA modeling for i-vector distributions |
| Sebastian Möller |
Spectral Sub-band Analysis of Speaker Verification Employing Narrowband and Wideband Speech |
| Alan Mccree |
Multiclass Discriminative Training of i-vector Language Recognition |
| Alan Mccree |
Unsupervised Clustering Approaches for Domain Adaptation in Speaker Recognition Systems |
| Alan Mccree |
Unsupervised Domain Adaptation for I-Vector Speaker Recognition
|
| Alan Mccree |
The NIST 2014 Speaker Recognition i-vector Machine Learning Challenge |
| Mitchell McLaren |
Application of Convolutional Neural Networks to Language Identification in Noisy Conditions |
| Mitchell McLaren |
Trial-based Calibration for Speaker Recognition in Unseen Conditions |
| Sylvain Meignier |
Recent Improvements on ILP-based Clustering for Broadcast News Speaker Diarization |
| Helen Meng |
An Integration of Random Subspace Sampling and Fishervoice for Speaker Verification |
| Nobuaki Minematsu |
Speaker-basis Accent Clustering Using Invariant Structure Analysis and the Speech Accent Archive |
| Abhinav Misra |
Investigating State-of-the-Art Speaker Verification in the case of Unlabeled Development Data |
| K Sri Rama Murty |
Allpass modelling of Fourier phase for speaker verification |
| Andreas Nautsch |
Towards Duration Invariance of i-Vector-based Adaptive Score Normalization |
| Tim Ng |
Neural Network Bottleneck Features for Language Identification |
| Sergey Novoselov |
STC Speaker Recognition System for the NIST i-Vector Challenge |
| Pierre Ouellet |
Joint Factor Analysis for Text-Dependent Speaker Verification |
| Pierre Ouellet |
Deep Neural Networks for extracting Baum-Welch statistics for Speaker Recognition |
| Pierre Ouellet |
Supervised/Unsupervised Voice Activity Detectors for Text-dependent Speaker Recognition on the RSR2015 Corpus |
| Rubén Pérez |
What are we missing with i-vectors? A perceptual analysis of i-vector-based falsely accepted trials |
| Timur Pekhovsky |
STC Speaker Recognition System for the NIST i-Vector Challenge |
| Oldrich Plchot |
GMM Weights Adaptation Based on Subspace Approaches for Speaker Verification |
| Mark Przybocki |
The NIST 2014 Speaker Recognition i-vector Machine Learning Challenge |
| Christian Rathgeb |
Towards Duration Invariance of i-Vector-based Adaptive Score Normalization |
| Herbert Reininger |
Towards Duration Invariance of i-Vector-based Adaptive Score Normalization |
| Douglas Reynolds |
Unsupervised Clustering Approaches for Domain Adaptation in Speaker Recognition Systems |
| Douglas Reynolds |
The NIST 2014 Speaker Recognition i-vector Machine Learning Challenge |
| Johan Rohdin |
Discriminative PLDA training with application-specific loss functions for speaker verification |
| Johan Rohdin |
i-Vector Selection for Effective PLDA Modeling in Speaker Recognition |
| Sophie Rosset |
Person Instance Graphs for Named Speaker Identification in TV Broadcast |
| Daisuke Saito |
Speaker-basis Accent Clustering Using Invariant Structure Analysis and the Speech Accent Archive |
| Achintya Sarkar |
Person Instance Graphs for Named Speaker Identification in TV Broadcast |
| Ruhi Sarıkaya |
A Latent Dirichlet Allocation Based Front-End for Speaker Verification |
| Nicolas Scheffer |
Application of Convolutional Neural Networks to Language Identification in Noisy Conditions |
| Nicolas Scheffer |
Trial-based Calibration for Speaker Recognition in Unseen Conditions |
| Koichi Shinoda |
Discriminative PLDA training with application-specific loss functions for speaker verification |
| Koichi Shinoda |
i-Vector Selection for Effective PLDA Modeling in Speaker Recognition |
| Navid Shokouhi |
Investigating State-of-the-Art Speaker Verification in the case of Unlabeled Development Data |
| Stephen Shum |
Unsupervised Clustering Approaches for Domain Adaptation in Speaker Recognition Systems |
| Stephen Shum |
Unsupervised Domain Adaptation for I-Vector Speaker Recognition
|
| Konstantin Simonchik |
STC Speaker Recognition System for the NIST i-Vector Challenge |
| Giovanni Soldi |
Short-Duration Speaker Modelling with Phone Adaptive Training
|
| Themos Stafylakis |
Joint Factor Analysis for Text-Dependent Speaker Verification |
| Themos Stafylakis |
Deep Neural Networks for extracting Baum-Welch statistics for Speaker Recognition |
| Themos Stafylakis |
Supervised/Unsupervised Voice Activity Detectors for Text-dependent Speaker Recognition on the RSR2015 Corpus |
| Vincent M. Stanford |
Effects of the New Testing Paradigm of the 2012 NIST Speaker Recognition Evaluation |
| Vitomir Struc |
Incorporating Duration Information into I-Vector-Based Speaker Recognition Systems |
| Albert Swart |
A comparison of linear and non-linear calibrations for speaker recognition |
| Yao Tian |
Text-Independent Speaker Verification via State Alignment |
| David van der Vloed |
NFI-FRITS: A forensic speaker recognition database and some first experiments |
| Hugo Van hamme |
GMM Weights Adaptation Based on Subspace Approaches for Speaker Verification |
| David van Leeuwen |
NFI-FRITS: A forensic speaker recognition database and some first experiments |
| David van Leeuwen |
A comparison of linear and non-linear calibrations for speaker recognition |
| Carlos Vaquero |
Unsupervised Domain Adaptation for I-Vector Speaker Recognition
|
| Bostjan Vesnicer |
Incorporating Duration Information into I-Vector-Based Speaker Recognition Systems |
| Karthika Vijayan |
Allpass modelling of Fourier phase for speaker verification |
| Michael Wagner |
Spectral Sub-band Analysis of Speaker Verification Employing Narrowband and Wideband Speech |
| Changhuai You |
Text-Dependent Speaker Verification System in VHF Communication Channel |
| Chengzhu Yu |
Investigating State-of-the-Art Speaker Verification in the case of Unlabeled Development Data |
| Jerneja Zganec-Gros |
Incorporating Duration Information into I-Vector-Based Speaker Recognition Systems |
| Bing Zhang |
Neural Network Bottleneck Features for Language Identification |
| Le Zhang |
Neural Network Bottleneck Features for Language Identification |
| Qian Zhang |
Robust Language Recognition Based on Diverse Features |
| Wei-Qiang Zhang |
Text-Independent Speaker Verification via State Alignment |
| Jinghua Zhong |
An Integration of Random Subspace Sampling and Fishervoice for Speaker Verification |
