Technical Program
Session 1: Speaker Recognition – Compact Representation
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11:30 - 11:55 | A Small Footprint i-Vector Extractor |
11:55 - 12:20 | Memory and Computation Effective Approaches for i–Vector Extraction |
12:20 - 12:45 | A Hybrid Factor Analysis and Probabilistic PCA-based system for Dictionary Learning and Encoding for Robust Speaker Recognition |
12:45 - 13:10 | On Exploring the Similarity and Fusion of i-Vector and Sparse Representation based Speaker Verification Systems |
Session 2: Speaker Recognition – Generative modeling
Monday 25 June 2012
14:00 - 14:25 | PLDA based Speaker Recognition on Short Utterances |
14:25 - 14:50 | PLDA based Speaker Verification with Weighted LDA Techniques |
14:50 - 15:15 | Dataset Shift in PLDA based Speaker Verification |
15:15 - 15:40 | Bayesian Adaptation of PLDA Based Speaker Recognition to Domains with Scarce Development Data |
15:40 - 16:05 | Source Normalization for Language-Independent Speaker Recognition using i-Vectors |
Session 3: Forensic Speaker Recognition
Monday 25 June 2012
16:30 - 16:55 | Database Selection for Forensic Voice Comparison |
16:55 - 17:20 | Voice Source Features for Forensic Voice Comparison - an Evaluation of the GLOTTEX Software Package |
17:20 - 17:45 | Comparison of Speaker Recognition Systems on a Real Forensic Benchmark Yosef Solewicz, Timo Becker, Jardine Gaelle and Stefan Gfroerer |
Session 4: Neural Network for Speaker Recognition
Tuesday 26 June 2012
10:30 - 10:55 | Factor Analysis of Mixture of Auto-Associative Neural Networks for Speaker Verification |
10:55 - 11:20 | Adaptation Transforms of Auto-Associative Neural Networks as Features for Speaker Verification |
11:20 - 11:45 | Bottleneck Features for Speaker Recognition |
11:45 - 12:10 | Preliminary Investigation of Boltzmann Machine Classifiers for Speaker Recognition |
12:10 - 12:35 | First attempt of Boltzmann Machines for Speaker Verification |
Session 5: Speaker Diarization
Tuesday 26 June 2012
13:30 - 13:55 | Online Two Speaker Diarization |
13:55 - 14:20 | On the use of Agglomerative and Spectral Clustering in Speaker Diarization of Meetings |
14:20 - 14:45 | Generalized Viterbi-based Models for Time-Series Segmentation Applied to Speaker Diarization |
14:45 - 15:10 | A Global Optimization Framework For Speaker Diarization |
15:10 - 15:35 | Cisco’s Speaker Segmentation and Recognition System |
Session 6: Speaker Recognition – Channel Robustness
Tuesday 26 June 2012
16:00 - 16:25 | Variance-Spectra based Normalization for I-vector Standard and Probabilistic Linear Discriminant Analysis |
16:25 - 16:50 | Utterance Partitioning with Acoustic Vector Resampling for I-Vector based Speaker Verification |
16:50 - 17:15 | Study on the Effects of Intrinsic Variation using i-Vectors in Text-Independent Speaker Verification |
17:15 - 17:40 | Exploring the Impact of Advanced Front-End Processing on NIST Speaker Recognition Microphone Tasks |
17:40 - 18:05 | Linear Prediction Modulation Filtering for Speaker Recognition of Reverberant Speech |
Session 7: Language Recognition Evaluation
Wednesday 27 June 2012
10:30 - 10:55 | Evaluation of Spoken Language Recognition Technology Using Broadcast Speech: Performance and Challenges |
10:55 - 11:20 | New Resources for Recognition of Confusable Linguistic Varieties: The LRE11 Corpus |
11:20 - 11:45 | The MITLL NIST LRE 2011 Language Recognition System |
11:45 - 12:10 | Description and analysis of the Brno276 system for LRE2011 |
12:10 - 12:35 | A Linguistic Data Acquisition Front-End for Language Recognition Evaluation |
Session 8: Features for Speaker Recognition
Wednesday 27 June 2012
13:30 - 13:55 | Feature Extraction Using 2-D Autoregressive Models For Speaker Recognition |
13:55 - 14:20 | Regularization of All-Pole Models for Speaker Verification Under Additive Noise |
14:20 - 14:45 | Factor Analysis of Acoustic Features using a Mixture of Probabilistic Principal Component Analyzers for robust Speaker Verification |
14:45 - 15:10 | Exemplar-based Sparse Representation and Sparse Discrimination for Noise Robust Speaker Identification |
15:10 - 15:35 | On the use of Asymmetric-shaped Tapers for Speaker Verification using I-vectors |
Session 9: Speaker Recognition Evaluation
Thursday 28 June 2012
10:00 - 10:25 | The Effect of Target/Non-Target Age Difference on Speaker Recognition Performance |
10:25 - 10:50 | Variational Bayes Logistic Regression as Regularized Fusion for NIST SRE 2010 |
10:50 - 11:15 | The 2011 BEST Speaker Recognition Interim Assessment |
11:15 - 11:40 | The REPERE Challenge: finding people in a multimodal context |
11:40 - 12:05 | The RATS Radio Traffic Collection System |
Session 10: Speaker Recognition – Application
Thursday 28 June 2012
13:00 - 13:25 | Effects of Audio and ASR Quality on Cepstral and High-level Speaker Verification Systems |
13:25 - 13:50 | Audio Context Recognition in Variable Mobile Environments from Short Segments using Speaker and Language Recognizers |
13:50 - 14:15 | Text Dependent Speaker Verification Using a Small Development Set |
14:15 - 14:40 | A Unified Approach for Audio Characterization and its Application to Speaker Recognition |
14:40 - 15:05 | Mean Shift Algorithm for Exponential Families with Applications to Speaker Clustering |
Session 11: Language Recognition – Feature, Classifier and Fusion
Thursday 28 June 2012
15:30 - 15:55 | Speaker Vectors from Subspace Gaussian Mixture Model as Complementary Features for Language Identification |
15:55 - 16:20 | Complementary Combination in i-Vector Level for Language Recognition |
16:20 - 16:45 | Bhattacharyya-based GMM-SVM System with Adaptive Relevance Factor for Pair Language Recognition |
16:45 - 17:10 | Fusing Language Information from Diverse Data Sources for Phonotactic Language Recognition |
Proceedings of Odyssey: The Speaker and Language Recognition Workshop
Odyssey 2012, Singapore
Published by Chinese and Oriental Languages Information Processing Society (COLIPS), Speaker and Language Characterization SIG