Concept

Example-based machine translation

Related publications (38)

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Personalising speech-to-speech translation in the EMIME project

Philip Neil Garner, John David Scott Dines, Hui Liang, Lakshmi Babu Saheer, Matthew Gibson, Simon King

In the EMIME project we have studied unsupervised cross-lingual speaker adaptation. We have employed an HMM statistical framework for both speech recognition and synthesis which provides transformation mechanisms to adapt the synthesized voice in TTS (text ...

2010

Semantic Vector Machines

Vincent Etter

We first present our work in machine translation, during which we used aligned sentences to train a neural network to embed n-grams of different languages into an d-dimensional space, such that n-grams that are the translation of each other are close with ...

2009

A magnetic heat pump with porous magneto caloric material

Didier Albert Simon Vuarnoz, Marc Diebold

At present magnetic refrigeration shows a realistic potential to penetrate into some niche markets in the field of cold and hot "production". It is well known that a refrigerator for cooling and a heat pump for heating are machines based on the same princi ...

Wiley-Blackwell2007

Integration of Grid Cost Model into ISS/VIOLA Meta-scheduler Environment

Vincent Keller, Michela Thiémard

The Broker with the cost function model of the ISS/VIOLA Meta-Scheduling System implementation is described in details. The Broker includes all the algorithmic steps needed to determine a well suited machine for an application component. This judicious cho ...

Springer2007

Model Adaptation for Sentence Unit Segmentation from Speech

Sébastien Cuendet

The sentence segmentation task is a classification task that aims at inserting sentence boundaries in a sequence of words. One of the applications of sentence segmentation is to detect the sentence boundaries in the sequence of words that is output by an a ...

IDIAP2006

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

Wavelets, Fractals, and Radial Basis Functions

Michaël Unser, Thierry Blu

Wavelets and radial basis functions (RBFs) lead to two distinct ways of representing signals in terms of shifted basis functions. RBFs, unlike wavelets, are nonlocal and do not involve any scaling, which makes them applicable to nonuniform grids. Despite t ...

IEEE2002

Wavelets and Radial Basis Functions: A Unifying Perspective

Michaël Unser, Thierry Blu

Wavelets and radial basis functions (RBF) are two rather distinct ways of representing signals in terms of shifted basis functions. An essential aspect of RBF, which makes the method applicable to non-uniform grids, is that the basis functions, unlike wave ...

SPIE2000