dblp: Odyssey 2014 (original) (raw)

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Odyssey 2014: Joensuu, Finland

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  • Keynote
  • Calibration, Evaluation & Forensics
  • Speaker Modeling I
  • Posters
  • Language Recognition
  • Speaker Diarization
  • Keynote
  • Text-dependent Speaker Recognition
  • Nist I-Vector Special Session
  • Keynote
  • Speaker Modeling II
  • Neural Nets for Speaker and Language Modeling

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    Odyssey 2014: The Speaker and Language Recognition Workshop, Joensuu, Finland, June 16-19, 2014. ISCA 2014

Keynote

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  Joseph P. Campbell:
  Speaker Recognition for Forensic Applications.

Calibration, Evaluation & Forensics

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    Alvin F. Martin, Craig S. Greenberg, John M. Howard, George R. Doddington, John J. Godfrey, Vincent M. Stanford:
    Effects of the New Testing Paradigm of the 2012 NIST Speaker Recognition Evaluation. 1-5
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    David van der Vloed, Jos S. Bouten, David A. van Leeuwen:
    NFI-FRITS: A forensic speaker recognition database and some first experiments. 6-13
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    David A. van Leeuwen, Niko Brummer, Albert Swart:
    A comparison of linear and non-linear calibrations for speaker recognition. 14-18
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    Yun Lei, Luciana Ferrer, Aaron Lawson, Mitchell McLaren, Nicolas Scheffer:
    Trial-based Calibration for Speaker Recognition in Unseen Conditions. 19-25

Speaker Modeling I

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    Johan Rohdin, Sangeeta Biswas, Koichi Shinoda:
    Discriminative PLDA training with application-specific loss functions for speaker verification. 26-32
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    Joaquin Gonzalez-Rodriguez, Juana Gil, Rubén Pérez, Javier Franco-Pedroso:
    What are we missing with i-vectors? A perceptual analysis of i-vector-based falsely accepted trials. 33-40
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    Pierre-Michel Bousquet, Jean-François Bonastre, Driss Matrouf:
    Exploring some limits of Gaussian PLDA modeling for i-vector distributions. 41-47
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    Najim Dehak, Oldrich Plchot, Mohamad Hasan Bahari, Lukás Burget, Hugo Van hamme, Réda Dehak:
    GMM Weights Adaptation Based on Subspace Approaches for Speaker Verification. 48-53

Posters

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    Andreas Nautsch, Christian Rathgeb, Christoph Busch, Herbert Reininger, Klaus Kasper:
    Towards Duration Invariance of i-Vector-based Adaptive Score Normalization. 60-67
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    Zhi-Yi Li, Wei-Qiang Zhang, Wei-Wei Liu, Yao Tian, Jia Liu:
    Text-Independent Speaker Verification via State Alignment. 68-72
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    Kong Aik Lee, Bin Ma, Haizhou Li, Liping Chen, Wu Guo, Li-Rong Dai:
    Local Variability Modeling for Text-Independent Speaker Verification. 54-59
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    Yusuf Ziya Isik, Hakan Erdogan, Ruhi Sarikaya:
    A Latent Dirichlet Allocation Based Front-End for Speaker Verification. 131-136
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    Ville Hautamäki, Rosa González Hautamäki, Tomi Kinnunen, Anne-Maria Laukkanen:
    Comparison of human listeners and speaker verification systems using voice mimicry data. 137-144
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    Patrick Kenny, Themos Stafylakis, Pierre Ouellet, Md. Jahangir Alam, Pierre Dumouchel:
    Supervised/Unsupervised Voice Activity Detectors for Text-dependent Speaker Recognition on the RSR2015 Corpus. 123-130
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    Johan Rohdin, Sangeeta Biswas, Koichi Shinoda:
    i-Vector Selection for Effective PLDA Modeling in Speaker Recognition. 100-105
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    Brecht Desplanques, Kris Demuynck, Jean-Pierre Martens:
    Combining Joint Factor Analysis and iVectors for Robust Language Recognition. 73-80
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    Alexandros Lazaridis, Elie Khoury, Jean-Philippe Goldman, Mathieu Avanzi, Sébastien Marcel, Philip N. Garner:
    Swiss French Regional Accent Identification. 106-111
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    Laura Fernández Gallardo, Michael Wagner, Sebastian Möller:
    Spectral Sub-band Analysis of Speaker Verification Employing Narrowband and Wideband Speech. 81-87
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    Gang Liu, John H. L. Hansen:
    Supra-Segmental Feature Based Speaker Trait Detection. 94-99
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    Karthika Vijayan, Vinay Kumar, K. Sri Rama Murty:
    Allpass modelling of Fourier phase for speaker verification. 112-117
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    Jinghua Zhong, Weiwu Jiang, Helen Meng, Na Li, Zhifeng Li:
    An Integration of Random Subspace Sampling and Fishervoice for Speaker Verification. 88-93
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    Gang Liu, John H. L. Hansen, Chengzhu Yu, Abhinav Misra, Navid Shokouhi:
    Investigating State-of-the-Art Speaker Verification in the case of Unlabeled Development Data. 118-122

Language Recognition

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    Alvin F. Martin, Craig S. Greenberg, John M. Howard, George R. Doddington, John J. Godfrey:
    NIST Language Recognition Evaluation - Past and Future. 145-151
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    Gang Liu, Qian Zhang, John H. L. Hansen:
    Robust Language Recognition Based on Diverse Features. 152-157
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    Nobuaki Minematsu, Shun Kasahara, Takehiko Makino, Daisuke Saito, Keikichi Hirose:
    Speaker-basis Accent Clustering Using Invariant Structure Analysis and the Speech Accent Archive. 158-165
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    Alan McCree:
    Multiclass Discriminative Training of i-vector Language Recognition. 166-172

Speaker Diarization

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    Jean-François Bonastre, Itshak Lapidot, Samy Bengio:
    Telephone Conversation Speaker Diarization Using Mealy-HMMs. 173-178
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    Hervé Bredin, Antoine Laurent, Achintya Kumar Sarkar, Viet Bac Le, Sophie Rosset, Claude Barras:
    Person Instance Graphs for Named Speaker Identification in TV Broadcast. 179-186
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    Grégor Dupuy, Sylvain Meignier, Paul Deléglise, Yannick Estève:
    Recent Improvements on ILP-based Clustering for Broadcast News Speaker Diarization. 187-193
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    Pranay Dighe, Marc Ferras, Hervé Bourlard:
    Modeling Overlapping Speech using Vector Taylor Series. 194-199

Keynote

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  Martin Cooke:
  Speaking in adverse conditions: from behavioural observations to intelligibility-enhancing speech modifications.

Text-dependent Speaker Recognition

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    Patrick Kenny, Themos Stafylakis, Md. Jahangir Alam, Pierre Ouellet, Marcel Kockmann:
    Joint Factor Analysis for Text-Dependent Speaker Verification. 200-207
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    Giovanni Soldi, Simon Bozonnet, Federico Alegre, Christophe Beaugeant, Nicholas W. D. Evans:
    Short-Duration Speaker Modelling with Phone Adaptive Training. 208-215
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    Changhuai You, Kong Aik Lee, Bin Ma, Haizhou Li:
    Text-Dependent Speaker Verification System in VHF Communication Channel. 216-223

Nist I-Vector Special Session

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    Alan 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:
    The NIST 2014 Speaker Recognition i-vector Machine Learning Challenge. 224-230
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    Sergey Novoselov, Timur Pekhovsky, Konstantin Simonchik:
    STC Speaker Recognition System for the NIST i-Vector Challenge. 231-240
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    Bostjan Vesnicer, Jerneja Zganec-Gros, Simon Dobrisek, Vitomir Struc:
    Incorporating Duration Information into I-Vector-Based Speaker Recognition Systems. 241-248
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    Abbas Khosravani, Mohammad Mehdi Homayounpour:
    Linearly Constrained Minimum Variance for Robust I-vector Based Speaker Recognition. 249-253
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    Marc Ferras, Elie Khoury, Sébastien Marcel, Laurent El Shafey:
    Hierarchical speaker clustering methods for the NIST i-vector Challenge. 254-259

Keynote

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  Samy Bengio:
  Large Scale Learning of a Joint Embedding Space.

Speaker Modeling II

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    Niko Brummer, Alan McCree, Stephen Shum, Daniel Garcia-Romero, Carlos Vaquero:
    Unsupervised Domain Adaptation for I-Vector Speaker Recognition. 260-264
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    Alan McCree, Stephen Shum, Douglas A. Reynolds, Daniel Garcia-Romero:
    Unsupervised Clustering Approaches for Domain Adaptation in Speaker Recognition Systems. 265-272
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    Sandro Cumani, Pietro Laface:
    Generative pairwise models for speaker recognition. 273-279
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    Hagai Aronowitz:
    Compensating Inter-Dataset Variability in PLDA Hyper-Parameters for Robust Speaker Recognition. 280-286

Neural Nets for Speaker and Language Modeling

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    Yun Lei, Luciana Ferrer, Aaron Lawson, Mitchell McLaren, Nicolas Scheffer:
    Application of Convolutional Neural Networks to Language Identification in Noisy Conditions. 287-292
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    Patrick Kenny, Themos Stafylakis, Pierre Ouellet, Vishwa Gupta, Md. Jahangir Alam:
    Deep Neural Networks for extracting Baum-Welch statistics for Speaker Recognition. 293-298
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    Pavel Matejka, Le Zhang, Tim Ng, Ondrej Glembek, Jeff Z. Ma, Bing Zhang, Sri Harish Mallidi:
    Neural Network Bottleneck Features for Language Identification. 299-304
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    Omid Ghahabi, Javier Hernando:
    i-Vector Modeling with Deep Belief Networks for Multi-Session Speaker Recognition. 305-310

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