Concept

Grammaticalité

Publications associées (11)

Text Representation Learning for Low Cost Natural Language Understanding

Natural language processing and other artificial intelligence fields have witnessed impressive progress over the past decade. Although some of this progress is due to algorithmic advances in deep learning, the majority has arguably been enabled by scaling ...

EPFL2023

The Jazz Harmony Treebank

Martin Alois Rohrmeier, Daniel Harasim, Christoph Finkensiep, Petter Harald Ericson

Grammatical models which represent the hierarchical structure of chord sequences have proven very useful in recent analyses of Jazz harmony. A critical resource for building and evaluating such models is a ground-truth database of syntax trees that encode ...

ISMIR2020

Augmented Reality to Facilitate a Conceptual Understanding of Statics in Vocational Education

Lorenzo Lucignano

At the core of the contribution of this dissertation there is an augmented reality (AR) environment, StaticAR, that supports the process of learning the fundamentals of statics in vocational classrooms, particularly in carpentry ones. Vocational apprentice ...

EPFL2018

Real-Time Generative Hand Modeling and Tracking

Anastasia Tkach

In our everyday life we interact with the surrounding environment using our hands. A main focus of recent research has been to bring such interaction to virtual objects, such as the ones projected in virtual reality devices, or super-imposed as holograms i ...

EPFL2018

Sphere-Meshes for Real-Time Hand Modeling and Tracking

Mark Pauly, Andrea Tagliasacchi, Anastasia Tkach

Modern systems for real-time hand tracking rely on a combination of discriminative and generative approaches to robustly recover hand poses. Generative approaches require the specification of a geometric model. In this paper, we propose a the use of sphere ...

Assoc Computing Machinery2016

Identifying unexpected words using in-context and out-of-context phoneme posteriors

Hynek Hermansky, Hamed Ketabdar

The paper proposes and discusses a machine approach for identification of unexpected (zero or low probability) words. The approach is based on use of two parallel recognition channels, one channel employing sensory information from the speech signal togeth ...

IDIAP2006

The Wall Street Journal experiment (and useful programs)

Antoine Rozenknop

This document gives information on parsing experiments applied to the standard Wall Street Journal corpus (``Standard'' means that this corpus has been widely used for exhibiting parsing tests of various models). The tested syntactic models are : standard ...

2004

Language models for speech recognition are generally trained on text corpora. Since these corpora do not contain the disfluencies found in natural speech, there is a train/test mismatch when these models are applied to conversational speech. In this work w ...

IDIAP2004

2004

INtegrating SPEech acoustic and linguistic Constraints: Baseline System Development

Hervé Bourlard, Martin Rajman, Jean-Cédric Chappelier, Giulia Bernardis

In this report, we discuss the initial issues addressed in a research project aiming at the development of an advanced natural speech recognition system for the automatic processing of telephone directory requests. This multi-faceted project involves (1) t ...

IDIAP1999

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