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HMM-Based Error Correction Mechanism for Five-Key Chording Keyboards

Publications associées (33)

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Boosting word error rates

Samy Bengio, Christos Dimitrakakis

We apply boosting techniques to the problem of word error rate minimisation in speech recognition. This is achieved through a new definition of sample error for boosting and a training procedure for hidden Markov models. For this purpose we define a sample ...

IDIAP2004

Recognition of Isolated Complex Mono- and Bi-Manual 3D Hand Gestures

Sébastien Marcel, Agnès Just

In this paper, we address the problem of the recognition of isolated complex mono- and bi-manual hand gestures. In the proposed system, hand gestures are represented by the 3D trajectories of blobs. Blobs are obtained by tracking colored body parts in real ...

IDIAP2003

Text detection and recognition in images and video sequences

Datong Chen

Text characters embedded in images and video sequences represents a rich source of information for content-based indexing and retrieval applications. However, these text characters are difficult to be detected and recognized due to their various sizes, gra ...

2003

Text detection and recognition in images and video sequences

Datong Chen

École Polytechnique Fédérale de Lausanne2003

Text detection and recognition in images and video sequences

Datong Chen

EPFL2003

Gaussian mixture models for on-line signature verification

Jonas Richiardi, Andrzej Drygajlo

This paper introduces and motivates the use of Gaussian Mixture Models (GMMs) for on-line signature verification. The individual Gaussian components are shown to represent some local, signer-dependent features that characterise spatial and temporal aspects ...

2003

Text Segmentation and Recognition in Complex Background Based on Markov Random Field

Hervé Bourlard, Jean-Marc Odobez, Datong Chen

In this paper we propose a method to segment and recognize text embedded in video and images. We modelize the gray level distribution in the text images as mixture of gaussians, and then assign each pixel to one of the gaussian layer. The assignment is bas ...

2002

Text Segmentation and Recognition in Complex Background Based on Markov Random Field

Hervé Bourlard, Jean-Marc Odobez, Datong Chen

IDIAP2002

EPFL lab session 2/2: Introduction to Hidden Markov Models

Sacha Krstulovic

Lab sessions given in relation to Herve Bourlard's Speech Recognition course at EPFL (Ecole Polytechnique Federale de Lausanne), second semester 2001. The full session is available from the web as ftp://ftp.idiap.ch/pub/sacha/labs/Session2.tgz . ...

IDIAP2001

Speech Recognition Using Advanced HMM2 Features

Hervé Bourlard, Samy Bengio, Katrin Weber

HMM2 is a particular hidden Markov model where state emission probabilities of the temporal (primary) HMM are modeled through (secondary) state-dependent frequency-based HMMs [12]. As shown in [13], a secondary HMM can also be used to extract robust ASR fe ...

IDIAP2001