Connectionists: post-doc position on Deep Neural Network Language Models, LORIA/INRIA France

[Irina Illina]

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Post-doc position at LORIA (Nancy, France) 

Automatic speech recognition: Deep Neural Network for L anguage M odel 

Framework of ANR project ContNomina 

The technologies involved in information retrieval in large audio/video databases are often based on the analysis of large, but closed, corpora, and on machine learning techniques and statistical modeling of the written and spoken language. The effectiveness of these approaches is now widely acknowledged, but they nevertheless have major flaws, particularly for what concern proper names, that are crucial for the interpretation of the content. 

In the context of diachronic data (data which change over time) new proper names appear constantly requiring dynamic updates of the lexicons and language models used by the speech recognition system. 

As a result, the ANR project ContNomina (2013-2017) focuses on the problem of proper names in automatic audio processing systems by exploiting in the most efficient way the context of the processed documents. To do this, the post-doc student will address the contextualization of the recognition module through the dynamic adjustment of the language model in order to make it more accurate. 

Post-doc subject 

Deep Neural Network have become a key component of modern automatic speech recognition systems. The language model of our recognition system is based on a neural network learned from a large corpus of text. The problem is to estimate the probability of a new proper name depending on its context. Several tracks will be explored: adapting the language model, using a class model or studying the notion of analogy. 

Our team has developed a fully automatic system for speech recognition to transcribe a radio broadcast from the corresponding audio file. The post-doc will develop a new module whose function is to integrate new proper names in the language model. 

Required skills 

A PhD in signal processing or in computer sciences , be familiar with the tools for automatic speech recognition, background in statistics and computer program skills (​​C, object-oriented programming and Perl). 

Post-doc duration: 12 months, start during the 2015 (these is some flexibility) 

Localization and contacts: Loria laboratory, Speech team , Nancy, France 

i rina.illina at loria.fr dominique.fohr at loria.fr georges.linares at univ-avignon.fr 

Candidates should email a letter of application, a detailed CV with a list of publications and diploma 

Irina Illina 
-- 
Associate Professor 
Lorraine University 
LORIA-INRIA 
office C147 
Building C 
615 rue du Jardin Botanique 
54600 Villers-les-Nancy Cedex 
Tel:+ 33 3 54 95 84 90 
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