Publications related to EMPIRICAL EVALUATION AND COMBINATION OF PUNCTUATION PREDICTION MODELS APPLIED TO BROADCAST NEWS

Learning from Images with Captions Using the Maximum Margin Set Algorithm

Barbara Caputo, Jie Luo, Vittorio Ferrari

A large amount of images with accompanying text captions are available on the Internet. These are valuable for training visual classifiers without any explicit manual intervention. In this paper, we present a general framework to address this problem. Unde ...

Idiap2011

Decision Making in Financial Markets

Finance does not represent the desirability of a gamble in terms of a score on a unidimensional scale, but rather in terms of the trade-off or conflict between various statistical features of the payoff. The approach facilitates computations and dramatical ...

Elsevier2009

Exploiting temporal context for speech/non-speech detection

Petr Motlicek, Hynek Hermansky, Sree Hari Krishnan Parthasarathi

In this paper, we investigate the effect of temporal context for speech/non-speech detection (SND). It is shown that even a simple feature such as full-band energy, when employed with a large-enough context, shows promise for further investigation. Experim ...

IDIAP2008

Exploiting Contextual Information for Speech/Non-Speech Detection

Petr Motlicek, Hynek Hermansky, Sree Hari Krishnan Parthasarathi

In this paper, we investigate the effect of temporal context for speech/non-speech detection (SND). It is shown that even a simple feature such as full-band energy, when employed with a large-enough context, shows promise for further investigation. Experim ...

Springer-Verlag Berlin, Heidelberg2008

Exploiting contextual information for speech/non-speech detection

Hynek Hermansky, Sree Hari Krishnan Parthasarathi

In this paper, we investigate the effect of temporal context for speech/non-speech detection (SND). It is shown that even a simple feature such as full-band energy, when employed with a large-enough context, shows promise for further investigation. Experim ...

IDIAP2008

Ensembles for sequence learning

Christos Dimitrakakis

This thesis explores the application of ensemble methods to sequential learning tasks. The focus is on the development and the critical examination of new methods or novel applications of existing methods, with emphasis on supervised and reinforcement lear ...

EPFL2007

Ensembles for Sequence Learning

Christos Dimitrakakis

This thesis explores the application of ensemble methods to sequential learning tasks. The focus is on the development and the critical examination of new methods or novel applications of existing methods, with emphasis on supervised and reinforcement lear ...

École Polytechnique Fédérale de Lausanne2006

The Juicer LVCSR Decoder - User Manual for Juicer version 0.5.0

Darren Moore

Juicer is a decoder for HMM-based large vocabulary speech recognition that uses a weighted finite state transducer (WFST) representation of the search space. The package consists of a number of command line utilities: the Juicer decoder itself, along with ...

IDIAP2006

Semi-supervised Meeting Event Recognition with Adapted HMMs

Daniel Gatica-Perez, Samy Bengio, Dong Zhang

This paper investigates the use of unlabeled data to help labeled data for audio-visual event recognition in meetings. To deal with situations in which it is difficult to collect enough labeled data to capture event characteristics, but collecting a large ...

2005

Semi-supervised Meeting Event Recognition with Adapted HMMs

Daniel Gatica-Perez, Samy Bengio, Dong Zhang

This paper investigates the use of unlabeled data to help labeled data for audio-visual event recognition in meetings. To deal with situations in which it is difficult to collect enough labeled data to capture event characteristics, but collecting a large ...

IDIAP2005

EMPIRICAL EVALUATION AND COMBINATION OF PUNCTUATION PREDICTION MODELS APPLIED TO BROADCAST NEWS

Graph Chatbot

Chat with Graph Search

Learning from Images with Captions Using the Maximum Margin Set Algorithm

Decision Making in Financial Markets

Exploiting temporal context for speech/non-speech detection

Exploiting Contextual Information for Speech/Non-Speech Detection

Exploiting contextual information for speech/non-speech detection

Ensembles for sequence learning

Ensembles for Sequence Learning

The Juicer LVCSR Decoder - User Manual for Juicer version 0.5.0

Semi-supervised Meeting Event Recognition with Adapted HMMs

Semi-supervised Meeting Event Recognition with Adapted HMMs

The Juicer LVCSR Decoder - User Manual for Juicer version 0.5.0

Ensembles for Sequence Learning

Semi-supervised Meeting Event Recognition with Adapted HMMs

Ensembles for sequence learning

Semi-supervised Meeting Event Recognition with Adapted HMMs

Decision Making in Financial Markets

Exploiting Contextual Information for Speech/Non-Speech Detection

Learning from Images with Captions Using the Maximum Margin Set Algorithm

Exploiting contextual information for speech/non-speech detection

Exploiting temporal context for speech/non-speech detection