Over the past decades, extensive research has been carried out on various possible
implementations of automatic speech recognition (ASR) systems. The most renowned …

The diachronic nature of broadcast news data leads to the problem of out-of-vocabulary
(OOV) words in large vocabulary continuous speech recognition (LVCSR) systems. Analysis …

Out-of-vocabulary (OOV) words create serious problems for automatic speech recognition
(ASR) systems. Not only are they miss-recognized as in-vocabulary (IV) words with similar …

Out-of-vocabulary (OOV) words can pose a particular problem for automatic speech
recognition (ASR) of broadcast news. The language models (LMs) of ASR systems are …

This article presents a study on how to automatically add new words into a language model
without re-training it or adapting it (which requires a lot of new data). The proposed …

We present a dynamic term discovery (TD) strategy that is capable of automatically adapting
the dictionaries managed by ASR systems to the input speech, in terms of lexicon and …

Cette thèse fait partie du projet RAPSODIE dont l'objectif est de proposer une
reconnaissance vocale spécialisée sur les besoins des personnes sourdes et …

Automatic Speech Recognition (ASR) system is one of the important components of
developing a true intelligence in personal assistants as the personal assistants depend on …

The diachronic nature of broadcast news causes frequent variations in the linguisticcontent
and vocabulary, leading to the problem of Out-Of-Vocabulary (OOV) words in automatic …

Résumé La nature diachronique des bulletins d'information provoque de fortes variations du
contenu linguistique et du vocabulaire dans ces documents. Dans le cadre de la …