Table of Contents

• Speaker Recognition for Forensic ApplicationsJoseph P. Campbell. [doi]
• Large Scale Learning of a Joint Embedding SpaceSamy Bengio. [doi]
• Speaking in adverse conditions: from behavioural observations to intelligibility-enhancing speech modificationsMartin Cooke. [doi]
• Effects of the New Testing Paradigm of the 2012 NIST Speaker Recognition EvaluationAlvin F. Martin, Craig S. Greenberg, John M. Howard, George R. Doddington, John J. Godfrey, Vincent M. Stanford. 1-5 [doi]
• NFI-FRITS: A forensic speaker recognition database and some first experimentsDavid van der Vloed, Jos S. Bouten, David A. van Leeuwen. 6-13 [doi]
• A comparison of linear and non-linear calibrations for speaker recognitionDavid A. van Leeuwen, Niko Brummer, Albert Swart. 14-18 [doi]
• Trial-based Calibration for Speaker Recognition in Unseen ConditionsYun Lei, Luciana Ferrer, Aaron Lawson, Mitchell McLaren, Nicolas Scheffer. 19-25 [doi]
• Discriminative PLDA training with application-specific loss functions for speaker verificationJohan Rohdin, Sangeeta Biswas, Koichi Shinoda. 26-32 [doi]
• What are we missing with i-vectors? A perceptual analysis of i-vector-based falsely accepted trialsJoaquin Gonzalez-Rodriguez, Juana Gil, Rubén Pérez, Javier Franco-Pedroso. 33-40 [doi]
• Exploring some limits of Gaussian PLDA modeling for i-vector distributionsPierre-Michel Bousquet, Jean-François Bonastre, Driss Matrouf. 41-47 [doi]
• GMM Weights Adaptation Based on Subspace Approaches for Speaker VerificationNajim Dehak, Oldrich Plchot, Mohamad Hasan Bahari, Lukás Burget, Hugo Van Hamme, Réda Dehak. 48-53 [doi]
• Local Variability Modeling for Text-Independent Speaker VerificationKong-Aik Lee, Bin Ma, Haizhou Li 0001, Liping Chen, Wu Guo, Li-Rong Dai. 54-59 [doi]
• Towards Duration Invariance of i-Vector-based Adaptive Score NormalizationAndreas Nautsch, Christian Rathgeb, Christoph Busch, Herbert Reininger, Klaus Kasper. 60-67 [doi]
• Text-Independent Speaker Verification via State AlignmentZhi-Yi Li, Wei-Qiang Zhang, Wei-Wei Liu 0001, Yao Tian, Jia Liu 0001. 68-72 [doi]
• Combining Joint Factor Analysis and iVectors for Robust Language RecognitionBrecht Desplanques, Kris Demuynck, Jean-Pierre Martens. 73-80 [doi]
• Spectral Sub-band Analysis of Speaker Verification Employing Narrowband and Wideband SpeechLaura Fernández Gallardo, Michael Wagner 0004, Sebastian Möller 0001. 81-87 [doi]
• An Integration of Random Subspace Sampling and Fishervoice for Speaker VerificationJinghua Zhong, Weiwu Jiang, Helen Meng, Na Li, Zhifeng Li 0001. 88-93 [doi]
• Supra-Segmental Feature Based Speaker Trait DetectionGang Liu 0001, John H. L. Hansen. 94-99 [doi]
• i-Vector Selection for Effective PLDA Modeling in Speaker RecognitionJohan Rohdin, Sangeeta Biswas, Koichi Shinoda. 100-105 [doi]
• Swiss French Regional Accent IdentificationAlexandros Lazaridis, Elie el Khoury, Jean Philippe Goldman, Mathieu Avanzi, Sébastien Marcel, Philip N. Garner. 106-111 [doi]
• Allpass modelling of Fourier phase for speaker verificationKarthika Vijayan, Vinay Kumar, K. Sri Rama Murty. 112-117 [doi]
• Investigating State-of-the-Art Speaker Verification in the case of Unlabeled Development DataGang Liu 0001, John H. L. Hansen, Chengzhu Yu, Abhinav Misra, Navid Shokouhi. 118-122 [doi]
• Supervised/Unsupervised Voice Activity Detectors for Text-dependent Speaker Recognition on the RSR2015 CorpusPatrick Kenny, Themos Stafylakis, Pierre Ouellet, Md. Jahangir Alam, Pierre Dumouchel. 123-130 [doi]
• A Latent Dirichlet Allocation Based Front-End for Speaker VerificationYusuf Ziya Isik, Hakan Erdogan, Ruhi Sarikaya. 131-136 [doi]
• Comparison of human listeners and speaker verification systems using voice mimicry dataVille Hautamäki, Rosa González Hautamäki, Tomi Kinnunen, Anne-Maria Laukkanen. 137-144 [doi]
• NIST Language Recognition Evaluation - Past and FutureAlvin F. Martin, Craig S. Greenberg, John M. Howard, George R. Doddington, John J. Godfrey. 145-151 [doi]
• Robust Language Recognition Based on Diverse FeaturesGang Liu 0001, Qian Zhang, John H. L. Hansen. 152-157 [doi]
• Speaker-basis Accent Clustering Using Invariant Structure Analysis and the Speech Accent ArchiveNobuaki Minematsu, Shun Kasahara, Takehiko Makino, Daisuke Saito, Keikichi Hirose. 158-165 [doi]
• Multiclass Discriminative Training of i-vector Language RecognitionAlan McCree. 166-172 [doi]
• Telephone Conversation Speaker Diarization Using Mealy-HMMsJean-François Bonastre, Itshak Lapidot, Samy Bengio. 173-178 [doi]
• Person Instance Graphs for Named Speaker Identification in TV BroadcastHervé Bredin, Antoine Laurent, Achintya Kumar Sarkar, Viet Bac Le, Sophie Rosset, Claude Barras. 179-186 [doi]
• Recent Improvements on ILP-based Clustering for Broadcast News Speaker DiarizationGrégor Dupuy, Sylvain Meignier, Paul Deléglise, Yannick Estève. 187-193 [doi]
• Modeling Overlapping Speech using Vector Taylor SeriesPranay Dighe, Marc Ferras, Hervé Bourlard. 194-199 [doi]
• Joint Factor Analysis for Text-Dependent Speaker VerificationPatrick Kenny, Themos Stafylakis, Md. Jahangir Alam, Pierre Ouellet, Marcel Kockmann. 200-207 [doi]
• Short-Duration Speaker Modelling with Phone Adaptive TrainingGiovanni Soldi, Simon Bozonnet, Federico Alegre, Christophe Beaugeant, Nicholas W. D. Evans. 208-215 [doi]
• Text-Dependent Speaker Verification System in VHF Communication ChannelChanghuai You, Kong-Aik Lee, Bin Ma, Haizhou Li 0001. 216-223 [doi]
• The NIST 2014 Speaker Recognition i-vector Machine Learning ChallengeAlan McCree, Douglas A. Reynolds, Daniel Garcia-Romero, Tomi Kinnunen, Craig S. Greenberg, Désiré Bansé, George R. Doddington, John J. Godfrey, Alvin F. Martin, Mark A. Przybocki. 224-230 [doi]
• STC Speaker Recognition System for the NIST i-Vector ChallengeSergey Novoselov, Timur Pekhovsky, Konstantin Simonchik. 231-240 [doi]
• Incorporating Duration Information into I-Vector-Based Speaker Recognition SystemsBostjan Vesnicer, Jerneja Zganec Gros, Simon Dobrisek, Vitomir Struc. 241-248 [doi]
• Linearly Constrained Minimum Variance for Robust I-vector Based Speaker RecognitionAbbas Khosravani, Mohammad Mehdi Homayounpour. 249-253 [doi]
• Hierarchical speaker clustering methods for the NIST i-vector ChallengeMarc Ferras, Elie el Khoury, Sébastien Marcel, Laurent El Shafey. 254-259 [doi]
• Unsupervised Domain Adaptation for I-Vector Speaker RecognitionNiko Brummer, Alan McCree, Stephen Shum, Daniel Garcia-Romero, Carlos Vaquero. 260-264 [doi]
• Unsupervised Clustering Approaches for Domain Adaptation in Speaker Recognition SystemsAlan McCree, Stephen Shum, Douglas A. Reynolds, Daniel Garcia-Romero. 265-272 [doi]
• Generative pairwise models for speaker recognitionSandro Cumani, Pietro Laface. 273-279 [doi]
• Compensating Inter-Dataset Variability in PLDA Hyper-Parameters for Robust Speaker RecognitionHagai Aronowitz. 280-286 [doi]
• Application of Convolutional Neural Networks to Language Identification in Noisy ConditionsYun Lei, Luciana Ferrer, Aaron Lawson, Mitchell McLaren, Nicolas Scheffer. 287-292 [doi]
• Deep Neural Networks for extracting Baum-Welch statistics for Speaker RecognitionPatrick Kenny, Themos Stafylakis, Pierre Ouellet, Vishwa Gupta, Md. Jahangir Alam. 293-298 [doi]
• Neural Network Bottleneck Features for Language IdentificationPavel Matejka, Le Zhang, Tim Ng, Ondrej Glembek, Jeff Z. Ma, Bing Zhang 0004, Sri Harish Mallidi. 299-304 [doi]
• i-Vector Modeling with Deep Belief Networks for Multi-Session Speaker RecognitionOmid Ghahabi, Javier Hernando. 305-310 [doi]