Concept

Writing system

Related publications (33)

Acoustic data-driven grapheme-to-phoneme conversion in the probabilistic lexical modeling framework

One of the primary steps in building automatic speech recognition (ASR) and text-to-speech systems is the development of a phonemic lexicon that provides a mapping between each word and its pronunciation as a sequence of phonemes. Phoneme lexicons can be d ...

2016

Du Braille avec des actionneurs liquides

Après un état de l’art des technologies existantes capables de mimer l’écriture Braille, l’étudiant aura pour objectif de créer un « actionneur » à base de fluide (Magnéto Rhéologique, Ferro Fluide …) pouvant tenir deux positions (haute et basse) sous la p ...

2015

Multimedia Analysis and Access of Ancient Maya Epigraphy

Daniel Gatica-Perez, Jean-Marc Odobez, Gülcan Can, Rui Hu

This article presents an integrated framework for multimedia access and analysis of ancient Maya epigraphic resources, which is developed as an interdisciplinary effort involving epigraphers (someone who deciphers ancient inscriptions) and computer scienti ...

IEEE2015

Transition and self-healing process between chaotic and self-organized patterns observed during femtosecond laser writing

Yves Bellouard, Max-Olivier Hongler

We report evidence of intermittent behavior between chaotic and self-organized patterns while writing lines with a femtosecond lasers on the surface of a fused silica substrate. The patterns are accompanied by resolidified sub-microspheres and non-aligned ...

Optical Society of America2015

On Learning Grapheme-to-Phoneme Relationships through the Acoustic Speech Signal

Ramya Rasipuram

Automatic speech recognition (ASR) systems, through use of the phoneme as an intermediary unit representation, split the problem of modeling the relationship between the written form, i.e., the text and the acoustic speech signal into two disjoint processe ...

2014

Grapheme-based Automatic Speech Recognition using Probabilistic Lexical Modeling

Ramya Rasipuram

Automatic speech recognition (ASR) systems incorporate expert knowledge of language or the linguistic expertise through the use of phone pronunciation lexicon (or dictionary) where each word is associated with a sequence of phones. The creation of phone pr ...

EPFL2014

Sparsity Averaging for Compressive Imaging

Jean-Philippe Thiran, Dimitri Nestor Alice Van De Ville, Yves Wiaux, Rafael Eduardo Carrillo Rangel, Jason Douglas McEwen

We discuss a novel sparsity prior for compressive imaging in the context of the theory of compressed sensing with coherent redundant dictionaries, based on the observation that natural images exhibit strong average sparsity over multiple coherent frames. W ...

Institute of Electrical and Electronics Engineers2013

Improving Grapheme-based ASR by Probabilistic Lexical Modeling Approach

Ramya Rasipuram

There is growing interest in using graphemes as subword units, especially in the context of the rapid development of hidden Markov model (HMM) based automatic speech recognition (ASR) system, as it eliminates the need to build a phoneme pronunciation lexic ...

2013

Improving Grapheme-based ASR by Probabilistic Lexical Modeling Approach

Ramya Rasipuram

Idiap2013

Robust Distributed Model Predictive Control of Linear Systems

Colin Neil Jones, Melanie Nicole Zeilinger

In this work, synthesis and closed-loop operation of robust distributed model predictive control (MPC) for linear systems using distributed optimization is discussed. Previous work has shown that a nominal MPC controller for this setup can be synthesized a ...

2013

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