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2. Investigating the effects of posture and noise on speech production

Author

Steiner, I., Knopp, P., Musche, S., Schmiedel, A., Braun, A., Slim Ouni, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH = German Research Center for Artificial Intelligence (DFKI), Universität Trier, Analysis, perception and recognition of speech (PAROLE), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Natural Language Processing & Knowledge Discovery (LORIA - NLPKD), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL), Susanne Fuchs, Martine Grice, Anne Hermes, Leonardo Lancia, Doris Mücke, Collaboration : LORIA, DFKI, Univ. Trier, Trier University, Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), and Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, ultrasound, EMA, speech production, posture effect, [SHS.INFO]Humanities and Social Sciences/Library and information sciences, speech in noise
Abstract

International audience; In recent years, speech production research has benefitted greatly from magnetic resonance imaging (MRI). Two prob-lem areas can be identified in conjunction with MRI, however: (a) subjects are typically recorded in supine posture and (b) they have to produce speech in noise. This paper investigates both of these issues by comparing articulatory behavior in upright and supine posture, with and without noise. The production data are recorded using electromagnetic articulography (EMA) and ultrasound tongue imaging (UTI) simultaneously. Preliminary analysis of the EMA data suggests that speakers are affected by posture, noise, and the combination of both in different ways, and use different strategies in compensating for these effects.

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