Publications associées à Recognition and Understanding of Meetings The AMI and AMIDA Projects

Anti-spoofing in action: joint operation with a verification system

Sébastien Marcel, André Anjos, Ivana Chingovska

Besides the recognition task, today's biometric systems need to cope with additional problem: spoofing attacks. Up to date, academic research considers spoofing as a binary classification problem: systems are trained to discriminate between real accesses a ...

2013

Anti-spoofing in action: joint operation with a verification system

Sébastien Marcel, André Anjos, Ivana Chingovska

Besides the recognition task, today's biometric systems need to cope with additional problem: spoofing attacks. Up to date, academic research considers spoofing as a binary classification problem: systems are trained to discriminate between real accesses a ...

Idiap2013

Dynamic Classifier Fusion for Multi-sensory Activity Recognition

Hesam Sagha

Nowadays, many systems rely on fusing different sources of information to recognize human activities and gestures, speech, or brain activities for applications in areas such as clinical practice, and health care and Human Computer Interaction (HCI). Typica ...

EPFL2013

Boosting Localized Features for Speaker and Speech Recognition

Anindya Roy

In this thesis, we propose a novel approach for speaker and speech recognition involving localized, binary, data-driven features. The proposed approach is largely inspired by similar localized approaches in the computer vision domain. The success of these ...

EPFL2011

Boosting Localized Features for Speaker and Speech Recognition

Anindya Roy

In this thesis, we propose a novel approach for speaker and speech recognition involving localized, binary, data-driven features. The proposed approach is largely inspired by similar localized approaches in the computer vision domain. The success of these ...

Ecole Polytechnique Federale de Lausanne (EPFL)2011

Are Sparse Representations Really Relevant for Image Classification?

Vincent Lepetit, Roberto Rigamonti, Matthew Brown

Recent years have seen an increasing interest in sparse representations for image classiﬁcation and object recognition, probably motivated by evidence from the analysis of the primate visual cortex. It is still unclear, however, whether or not sparsity hel ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Privacy-Sensitive Audio Features for Conversational Speech Processing

Sree Hari Krishnan Parthasarathi

The work described in this thesis takes place in the context of capturing real-life audio for the analysis of spontaneous social interactions. Towards this goal, we wish to capture conversational and ambient sounds using portable audio recorders. Analysis ...

EPFL2011

Privacy-Sensitive Audio Features for Conversational Speech Processing

Sree Hari Krishnan Parthasarathi

The work described in this thesis takes place in the context of capturing real-life audio for the analysis of spontaneous social interactions. Towards this goal, we wish to capture conversational and ambient sounds using portable audio recorders. Analysis ...

Ecole Polytechnique Fédérale de Lausanne2011

Model-Based Compressive Sensing for Multi-Party Distant Speech Recognition

Hervé Bourlard, Volkan Cevher, Afsaneh Asaei

We leverage the recent algorithmic advances in compressive sensing, and propose a novel source separation algorithm for efficient recovery of convolutive speech mixtures in spectro-temporal domain. Compared to the common sparse component analysis technique ...

Idiap2011

Model-Based Compressive Sensing for Multi-Party Distant Speech Recognition

Hervé Bourlard, Volkan Cevher, Afsaneh Asaei

We leverage the recent algorithmic advances in compressive sensing, and propose a novel source separation algorithm for efficient recovery of convolutive speech mixtures in spectro-temporal domain. Compared to the common sparse component analysis technique ...

IEEE Service Center, 445 Hoes Lane, PO Box 1331, Piscataway, NJ 08855-1331 USA2011

Recognition and Understanding of Meetings The AMI and AMIDA Projects

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Anti-spoofing in action: joint operation with a verification system

Anti-spoofing in action: joint operation with a verification system

Dynamic Classifier Fusion for Multi-sensory Activity Recognition

Boosting Localized Features for Speaker and Speech Recognition

Boosting Localized Features for Speaker and Speech Recognition

Are Sparse Representations Really Relevant for Image Classification?

Privacy-Sensitive Audio Features for Conversational Speech Processing

Privacy-Sensitive Audio Features for Conversational Speech Processing

Model-Based Compressive Sensing for Multi-Party Distant Speech Recognition

Model-Based Compressive Sensing for Multi-Party Distant Speech Recognition

Boosting Localized Features for Speaker and Speech Recognition

Boosting Localized Features for Speaker and Speech Recognition

Are Sparse Representations Really Relevant for Image Classification?

Privacy-Sensitive Audio Features for Conversational Speech Processing

Model-Based Compressive Sensing for Multi-Party Distant Speech Recognition

Anti-spoofing in action: joint operation with a verification system

Anti-spoofing in action: joint operation with a verification system

Dynamic Classifier Fusion for Multi-sensory Activity Recognition

Privacy-Sensitive Audio Features for Conversational Speech Processing

Model-Based Compressive Sensing for Multi-Party Distant Speech Recognition