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An HMM Approach with Inherent Model Selection for Sign Language and Gesture Recognition

Publications associées (33)

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Improving Speech Recognition Using a Data-Driven Approach

Hervé Bourlard, Guillermo Aradilla

In this paper, we investigate the possibility of enhancing state-of-the-art HMM-based speech recognition systems using data-driven techniques, where whole set of training utterances is used as reference models and recognition is then performed through the ...

IDIAP2005

Improving Speech Recognition Using a Data-Driven Approach

Hervé Bourlard, Guillermo Aradilla

2005

Text Detection and Recognition in Images and Videos

Hervé Bourlard, Jean-Marc Odobez, Datong Chen

Text embedded in images and videos represents a rich source of information for content-based indexing and retrieval applications. In this paper, we present a new method for localizing and recognizing text in complex images and videos. Text localization is ...

2004

Direct brain-computer communication through scalp recorded EEG signals

Scalp recorded electroencephalogram signals (EEG) reflect the combined synaptic and axonal activity of groups of neurons. In addition to their clinical applications, EEG signals can be used as support for direct brain-computer communication devices (Brain- ...

EPFL2004

Automatic Speech Recognition using Dynamic Bayesian Networks with the Energy as an Auxiliary Variable

In current automatic speech recognition (ASR) systems, the energy is not used as part of the feature vector in spite of being a fundamental feature in the speech signal. The noise inherent in its estimation degrades the system performance. In this report w ...

IDIAP2003

Text Detection and Recognition in Images and Videos

Hervé Bourlard, Jean-Marc Odobez, Datong Chen

IDIAP2002

Recognition of handwritten text by computer can significantly reduce the cost of manual key entry in applications such as bank check processing, postal mail routing, census and poll form capture, medical documents, and many others. In this review, I will d ...

1995

A System for the Off-Line Recognition of Handwritten Text

A new system for the recognition of handwritten text is described. The system goes from raw, binary scanned images of census forms to ASCII transcriptions of the fields contained within the forms. The first step is to locate and extract the handwritten inp ...

IDIAP1994

A new system for the recognition of handwritten text is described. The system goes from raw, binary scanned images of census forms to {ASCII} transcriptions of the fields contained within the forms. The first step is to locate and extract the handwritten i ...

1994

Recognition of Handprinted Digits

This paper describes a system that recognizes hand-printed digits. The system is based on optimal bounded error matching, a technique already in common use in general-purpose 2D and 3D visual object recognition systems in cluttered, noisy scenes. In this p ...

IDIAP1993