Bianca Vieru-Dimulescu

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The general goal of this study was to expand our understanding of what is meant by 'foreign accent'. More specifically, it deals with the role of prosody (timing and melody), which has rarely been examined. New technologies, including diphone speech synthesis (experiment 1) and speech manipulation (experiment 2), are used to study the relative importance of(More)
This paper describes the speech-to-text systems used to provide automatic transcriptions used in the Quaero 2010 evaluation of Machine Translation from speech. Quaero (www.quaero.org) is a large research and industrial innovation program focusing on technologies for automatic analysis and classification of multimedia and multilingual documents. The ASR(More)
This paper focuses on foreign accent characterisation and identi cation in French. How many accents may a native French speaker recognise and which cues does (s)he use? Our interest concentrates on French productions stemming from speakers of six di erent mother tongues: Arabic, English, German, Italian, Portuguese and Spanish, also compared with native(More)
The goal of this study is to automatically differentiate foreign accents in French (Arabic, English, German, Italian, Spanish and Portuguese). We took advantage of automatic alignment into phonemes of non-native French recordings to measure vowel formants, consonant duration and voicing, prosodic cues as well as pronunciation variants combining French and(More)
In this article, we attempt to quantify the contribution of prosody (timing and melody) to the perception of a foreign accent, by using a prosodic transplantation paradigm. For this experiment, a dozen sentences, which are spoken in (almost) the same way in Italian and Spanish, were recorded. They were read by 3 Spanish monolinguals, 3 Italian monolinguals(More)
This document describes the speech recognizers submitted by Vocapia Research to the Evalita 2011 evaluation for the open unconstrained automatic speech recognition (ASR) task. The aim of this evaluation was to perform automatic speech recognition of parliament audio sessions in the Italian language. Two systems were submitted. The primary system has a(More)
Speech processing tools were applied to investigate morpho-phonetic trends in contemporary spoken Romanian, with the objective of improving the pronunciation dictionary and more generally, the acoustic models of a speech recognition system. As no manually transcribed audio data were available for training, language models were estimated on a large text(More)
This work quantifies the phonological contrast between the Romanian central vowels [2] and [1], which are considered separate phonemes, although they are historical allophones with few minimal pairs. We consider the vowels’ functional load within the Romanian inventory and the usefulness of the contrast for automatic speech recognition (ASR). Using a 7 hour(More)
We present work in progress on an intelligent embodied conversation agent in the basic care and healthcare domain. In contrast to most of the existing agents, the presented agent is aimed to have linguistic cultural, social and emotional competence needed to interact with elderly and migrants. It is composed of an ontology-based and reasoning-driven(More)