default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDOdyssey 2014: Joensuu, Finland
- Odyssey 2014: The Speaker and Language Recognition Workshop, Joensuu, Finland, June 16-19, 2014. ISCA 2014
Keynote
- Joseph P. Campbell:
Speaker Recognition for Forensic Applications.
Calibration, Evaluation & Forensics
- 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 - David van der Vloed, Jos S. Bouten, David A. van Leeuwen:
NFI-FRITS: A forensic speaker recognition database and some first experiments. 6-13 - David A. van Leeuwen, Niko Brummer, Albert Swart:
A comparison of linear and non-linear calibrations for speaker recognition. 14-18 - Yun Lei, Luciana Ferrer, Aaron Lawson, Mitchell McLaren, Nicolas Scheffer:
Trial-based Calibration for Speaker Recognition in Unseen Conditions. 19-25
Speaker Modeling I
- Johan Rohdin, Sangeeta Biswas, Koichi Shinoda:
Discriminative PLDA training with application-specific loss functions for speaker verification. 26-32 - 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 - Pierre-Michel Bousquet, Jean-François Bonastre, Driss Matrouf:
Exploring some limits of Gaussian PLDA modeling for i-vector distributions. 41-47 - 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
- Andreas Nautsch, Christian Rathgeb, Christoph Busch, Herbert Reininger, Klaus Kasper:
Towards Duration Invariance of i-Vector-based Adaptive Score Normalization. 60-67 - Zhi-Yi Li, Wei-Qiang Zhang, Wei-Wei Liu, Yao Tian, Jia Liu:
Text-Independent Speaker Verification via State Alignment. 68-72 - Kong Aik Lee, Bin Ma, Haizhou Li, Liping Chen, Wu Guo, Li-Rong Dai:
Local Variability Modeling for Text-Independent Speaker Verification. 54-59 - Yusuf Ziya Isik, Hakan Erdogan, Ruhi Sarikaya:
A Latent Dirichlet Allocation Based Front-End for Speaker Verification. 131-136 - Ville Hautamäki, Rosa González Hautamäki, Tomi Kinnunen, Anne-Maria Laukkanen:
Comparison of human listeners and speaker verification systems using voice mimicry data. 137-144 - 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 - Johan Rohdin, Sangeeta Biswas, Koichi Shinoda:
i-Vector Selection for Effective PLDA Modeling in Speaker Recognition. 100-105 - Brecht Desplanques, Kris Demuynck, Jean-Pierre Martens:
Combining Joint Factor Analysis and iVectors for Robust Language Recognition. 73-80 - Alexandros Lazaridis, Elie Khoury, Jean-Philippe Goldman, Mathieu Avanzi, Sébastien Marcel, Philip N. Garner:
Swiss French Regional Accent Identification. 106-111 - Laura Fernández Gallardo, Michael Wagner, Sebastian Möller:
Spectral Sub-band Analysis of Speaker Verification Employing Narrowband and Wideband Speech. 81-87 - Gang Liu, John H. L. Hansen:
Supra-Segmental Feature Based Speaker Trait Detection. 94-99 - Karthika Vijayan, Vinay Kumar, K. Sri Rama Murty:
Allpass modelling of Fourier phase for speaker verification. 112-117 - Jinghua Zhong, Weiwu Jiang, Helen Meng, Na Li, Zhifeng Li:
An Integration of Random Subspace Sampling and Fishervoice for Speaker Verification. 88-93 - 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
- Alvin F. Martin, Craig S. Greenberg, John M. Howard, George R. Doddington, John J. Godfrey:
NIST Language Recognition Evaluation - Past and Future. 145-151 - Gang Liu, Qian Zhang, John H. L. Hansen:
Robust Language Recognition Based on Diverse Features. 152-157 - 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 - Alan McCree:
Multiclass Discriminative Training of i-vector Language Recognition. 166-172
Speaker Diarization
- Jean-François Bonastre, Itshak Lapidot, Samy Bengio:
Telephone Conversation Speaker Diarization Using Mealy-HMMs. 173-178 - 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 - Grégor Dupuy, Sylvain Meignier, Paul Deléglise, Yannick Estève:
Recent Improvements on ILP-based Clustering for Broadcast News Speaker Diarization. 187-193 - Pranay Dighe, Marc Ferras, Hervé Bourlard:
Modeling Overlapping Speech using Vector Taylor Series. 194-199
Keynote
- Martin Cooke:
Speaking in adverse conditions: from behavioural observations to intelligibility-enhancing speech modifications.
Text-dependent Speaker Recognition
- Patrick Kenny, Themos Stafylakis, Md. Jahangir Alam, Pierre Ouellet, Marcel Kockmann:
Joint Factor Analysis for Text-Dependent Speaker Verification. 200-207 - Giovanni Soldi, Simon Bozonnet, Federico Alegre, Christophe Beaugeant, Nicholas W. D. Evans:
Short-Duration Speaker Modelling with Phone Adaptive Training. 208-215 - 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
- 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 - Sergey Novoselov, Timur Pekhovsky, Konstantin Simonchik:
STC Speaker Recognition System for the NIST i-Vector Challenge. 231-240 - Bostjan Vesnicer, Jerneja Zganec-Gros, Simon Dobrisek, Vitomir Struc:
Incorporating Duration Information into I-Vector-Based Speaker Recognition Systems. 241-248 - Abbas Khosravani, Mohammad Mehdi Homayounpour:
Linearly Constrained Minimum Variance for Robust I-vector Based Speaker Recognition. 249-253 - Marc Ferras, Elie Khoury, Sébastien Marcel, Laurent El Shafey:
Hierarchical speaker clustering methods for the NIST i-vector Challenge. 254-259
Keynote
- Samy Bengio:
Large Scale Learning of a Joint Embedding Space.
Speaker Modeling II
- Niko Brummer, Alan McCree, Stephen Shum, Daniel Garcia-Romero, Carlos Vaquero:
Unsupervised Domain Adaptation for I-Vector Speaker Recognition. 260-264 - Alan McCree, Stephen Shum, Douglas A. Reynolds, Daniel Garcia-Romero:
Unsupervised Clustering Approaches for Domain Adaptation in Speaker Recognition Systems. 265-272 - Sandro Cumani, Pietro Laface:
Generative pairwise models for speaker recognition. 273-279 - Hagai Aronowitz:
Compensating Inter-Dataset Variability in PLDA Hyper-Parameters for Robust Speaker Recognition. 280-286
Neural Nets for Speaker and Language Modeling
- Yun Lei, Luciana Ferrer, Aaron Lawson, Mitchell McLaren, Nicolas Scheffer:
Application of Convolutional Neural Networks to Language Identification in Noisy Conditions. 287-292 - Patrick Kenny, Themos Stafylakis, Pierre Ouellet, Vishwa Gupta, Md. Jahangir Alam:
Deep Neural Networks for extracting Baum-Welch statistics for Speaker Recognition. 293-298 - 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 - Omid Ghahabi, Javier Hernando:
i-Vector Modeling with Deep Belief Networks for Multi-Session Speaker Recognition. 305-310
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2026-01-29 02:07 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
