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ORCIDOdyssey 2010: Brno, Czech Republic
- Odyssey 2010: The Speaker and Language Recognition Workshop, Brno, Czech Republic, June 28 - July 1, 2010. ISCA 2010
Keynote Papers
- Michael Jessen:
Current developments in forensic speaker identification. 1
Speaker recognition - LVCSR and high level features
- Doris Baum, Daniel Schneider, Timo Mertens, Joachim Köhler:
Constrained Subword Units for Speaker Recognition. 2 - Achintya Kumar Sarkar, Srinivasan Umesh, Shakti Prasad Rath:
Computationally Efficient Speaker Identification for Large Population Tasks using MLLR and Sufficient Statistics. 3 - Kornel Laskowski, Qin Jin:
Modeling Prosody for Speaker Recognition: Why Estimating Pitch May Be a Red Herring. 4
Features for Speaker recognition
- Alberto Abad, Jordi Luque:
Connectionist Transformation Network Features for Speaker Recognition. 5 - Mohammed Senoussaoui, Patrick Kenny, Najim Dehak, Pierre Dumouchel:
An i-vector Extractor Suitable for Speaker Recognition with both Microphone and Telephone Speech. 6 - Jia Min Karen Kua, Tharmarajah Thiruvaran, Mohaddeseh Nosratighods, Eliathamby Ambikairajah, Julien Epps:
Investigation of Spectral Centroid Magnitude and Frequency for Speaker Recognition. 7 - Rahim Saeidi, Jouni Pohjalainen, Tomi Kinnunen, Paavo Alku:
Temporally Weighted Linear Prediction Features for Speaker Verification in Additive Noise. 8
Background modeling in Speaker recognition, Forensics
- Wei-Qiang Zhang, Yuxiang Shan, Jia Liu:
Multiple Background Models for Speaker Verification. 9 - Mohamed Kamal Omar, Jason W. Pelecanos:
Training Universal Background Models for Speaker Recognition. 10 - Timo Becker, Michael Jessen, Sebastian Alsbach, Franz Broß, Torsten Meier:
SPES: The BKA Forensic Automatic Voice Comparison System. 11 - Geoffrey Stewart Morrison, Tharmarajah Thiruvaran, Julien Epps:
Estimating the Precision of the Likelihood-Ratio Output of a Forensic-Voice-Comparison System. 12 - Achintya Kumar Sarkar, Srinivasan Umesh:
Investigation of Speaker-Clustered UBMs based on Vocal Tract Lengths and MLLR matrices for Speaker Verification. 13
Keynote Papers
- Patrick Kenny:
Bayesian Speaker Verification with Heavy-Tailed Priors. 14
Speaker and language recognition - scoring, confidences and calibration
- Najim Dehak, Réda Dehak, James R. Glass, Douglas A. Reynolds, Patrick Kenny:
Cosine Similarity Scoring without Score Normalization Techniques. 15 - Stephen Shum, Najim Dehak, Réda Dehak, James R. Glass:
Unsupervised Speaker Adaptation based on the Cosine Similarity for Text-Independent Speaker Verification. 16 - Mitchell McLaren, Robbie Vogt, Brendan Baker, Sridha Sridharan:
Experiments in SVM-based Speaker Verification Using Short Utterances. 17 - Raymond W. M. Ng, Cheung-Chi Leung, Tan Lee, Bin Ma, Haizhou Li:
Detection target dependent score calibration for language recognition. 18
Speaker recognition - Inter-session variability
- William Campbell:
Weighted Nuisance Attribute Projection. 19 - Javier Gonzalez-Dominguez, Brendan Baker, Robbie Vogt, Joaquin Gonzalez-Rodriguez, Sridha Sridharan:
On the Use of Factor Analysis with Restricted Target Data in Speaker Verification. 20 - Juliette Kahn, Nicolas Audibert, Solange Rossato, Jean-François Bonastre:
Intra-speaker variability effects on Speaker Verification performance. 21 - Daniel Garcia-Romero, Carol Y. Espy-Wilson:
Joint Factor Analysis for Speaker Recognition Reinterpreted as Signal Coding Using Overcomplete Dictionaries. 22
Diarization
- Oshry Ben-Harush, Itshak Lapidot, Hugo Guterman:
Online Diarization of Telephone Conversations. 23 - Pavel Tomasek, Corinne Fredouille, Driss Matrouf:
Factor analysis-based approaches applied to the speaker diarization task of meetings : a preliminary study. 24 - Hagai Aronowitz:
Unsupervised Compensation of Intra-Session Intra-Speaker Variability for Speaker Diarization. 25 - Viet Bac Le, Claude Barras, Marc Ferras:
On the use of GSV-SVM for Speaker Diarization and Tracking. 26
Keynote Papers
- David J. Balding:
Interpretation of DNA evidence as a paradigm for speaker recognition. 27
Speaker and Language recognition - Evaluations and performance testing
- Phillip L. De Leon, Michael Pucher, Junichi Yamagishi:
Evaluation of the Vulnerability of Speaker Verification to Synthetic Speech. 28 - Lara Stoll, George R. Doddington:
Hunting for Wolves in Speaker Recognition. 29 - Alvin F. Martin, Craig S. Greenberg:
The 2009 NIST Language Recognition Evaluation. 30 - Luis Javier Rodríguez-Fuentes, Mikel Peñagarikano, Germán Bordel, Amparo Varona:
The Albayzin 2008 Language Recognition Evaluation. 31
Human performances in Speaker recognition, Speaker clustering and partitioning
- Craig S. Greenberg, Alvin F. Martin, Linda Brandschain, Joseph P. Campbell, Christopher Cieri, George R. Doddington, John J. Godfrey:
Human Assisted Speaker Recognition In NIST SRE10. 32 - Themos Stafylakis, Vassilis Katsouros, George Carayannis:
Speaker clustering via the mean shift algorithm. 33 - Niko Brümmer, Edward de Villiers:
The speaker partitioning problem. 34 - David A. van Leeuwen:
Speaker linking in large data sets. 35
Language recognition - general and data
- Alan McCree:
Estimating and Exploiting Language Distributions of Unlabeled Data. 36 - Zdenek Jancik, Oldrich Plchot, Niko Brümmer, Lukás Burget, Ondrej Glembek, Valiantsina Hubeika, Martin Karafiát, Pavel Matejka, Tomás Mikolov, Albert Strasheim, Jan Cernocký:
Data selection and calibration issues in automatic language recognition - investigation with BUT-AGNITIO NIST LRE 2009 system. 37 - Sandro Cumani, Fabio Castaldo, Pietro Laface, Daniele Colibro, Claudio Vair:
Comparison of Large-scale SVM Training Algorithms for Language Recognition. 38 - Florian Verdet, Driss Matrouf, Jean-François Bonastre, Jean Hennebert:
Coping with Two Different Transmission Channels in Language Recognition. 39
Language recognition - phonotactics
- Mikel Peñagarikano, Amparo Varona, Luis Javier Rodríguez-Fuentes, Germán Bordel:
Improved Modeling of Cross-Decoder Phone Co-occurrences in SVM-based Phonotactic Language Recognition. 40 - Cheung-Chi Leung, Bin Ma, Haizhou Li:
Parallel Acoustic Model Adaptation for Improving Phonotactic Language Recognition. 41 - Tomás Mikolov, Oldrich Plchot, Ondrej Glembek, Lukás Burget, Jan Cernocký:
PCA-based Feature Extraction for Phonotactic Language Recognition. 42 - Andreas Stolcke, Murat Akbacak, Luciana Ferrer, Sachin S. Kajarekar, Colleen Richey, Nicolas Scheffer, Elizabeth Shriberg:
Improving Language Recognition with Multilingual Phone Recognition and Speaker Adaptation Transforms. 43
Dialect recognition
- Fadi Biadsy, Hagen Soltau, Lidia Mangu, Jirí Navrátil, Julia Hirschberg:
Discriminative Phonotactics for Dialect Recognition Using Context-Dependent Phone Classifiers. 44 - Jan Volín, Radek Skarnitzl:
Suprasegmental Acoustic Cues of Foreignness in Czech English. 45 - Oscar Koller, Alberto Abad, Isabel Trancoso:
Exploiting variety-dependent Phones in Portuguese Variety Identification. 46
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