Nelly Barbot

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This article is interested in the problem of the linguistic content of a speech corpus. Depending on the target task, the phonological and linguistic content of the corpus is controlled by collecting a set of sentences which covers a preset description of phonological attributes under the constraint of an overall duration as small as possible. This goal is(More)
This article is interestedin the problem of the linguisticcon-tent of a speech corpus. Depending on the target task (speech recognition, speech synthesis, etc) we try to control the phono-logical and linguistic content of the corpus by collecting an optimal set of sentences which make it possible to cover a pre-set description of phonological attributes(More)
Analogical proportions are statements involving four entities , of the form 'A is to B as C is to D'. They play an important role in analogical reasoning. Their formalization has received much attention from different researchers in the last decade, in particular in a proposi-tional logic setting. Analogical proportions have also been algebraically defined(More)
Set covering algorithms are efficient tools for solving an optimal linguistic corpus reduction. The optimality of such a process is directly related to the descriptive features of the sentences of a reference corpus. This article suggests to verify experimentally the behaviour of three algorithms, a greedy approach and a lagrangian relaxation based one(More)
Linguistic corpus design is a critical concern for building rich annotated corpora useful in different domains of applications. For example, speech technologies such as ASR (Automatic Speech Recognition) or TTS (Text-to-Speech) need a huge amount of speech data to train data-driven models or to produce synthetic speech. Collecting data is always related to(More)