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14 results on '"Yves Laprie"'

1. Towards a Method of Dynamic Vocal Tract Shapes Generation by Combining Static 3D and Dynamic 2D MRI Speech Data

Author

Ioannis Douros, Anastasiia Tsukanova, Karyna Isaieva, Pierre-André Vuissoz, Yves Laprie, Speech Modeling for Facilitating Oral-Based Communication (MULTISPEECH), 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), 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), 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), Imagerie Adaptative Diagnostique et Interventionnelle (IADI), Université de Lorraine (UL)-Institut National de la Santé et de la Recherche Médicale (INSERM), Douros, Ioannis, and Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL)

Subjects
speech resources enrichment, Computer science, Image quality, 02 engineering and technology, [INFO] Computer Science [cs], Set (abstract data type), 030507 speech-language pathology & audiology, 03 medical and health sciences, Dimension (vector space), vocal tract, 0202 electrical engineering, electronic engineering, information engineering, [INFO]Computer Science [cs], Computer vision, Spatial analysis, MRI data, business.industry, Frame (networking), 020206 networking & telecommunications, image transformation, Transformation (function), [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], modality transformation, Artificial intelligence, 0305 other medical science, business, Vocal tract
Abstract

International audience; We present an algorithm for augmenting the shape of the vocal tract using 3D static and 2D dynamic speech MRI data. While static 3D images have better resolution and provide spatial information, 2D dynamic images capture the transitions. The aim of this work is to combine strong points of these two types of data to obtain better image quality of 2D dynamic images and extend the 2D dynamic images to the 3D domain. To produce a 3D dynamic consonant-vowel (CV) sequence, our algorithm takes as input the 2D CV transition and the static 3D targets for C and V. To obtain the enhanced sequence of images , the first step is to find a transformation between the 2D images and the mid-sagittal slice of the acoustically corresponding 3D image stack, and then find a transformation between neighbouring sagittal slices in the 3D static image stack. Combination of these transformations allows producing the final set of images. In the present study we first examined the transformation from the 3D mid-sagittal frame to the 2D video in order to improve image quality and then we examined the extension of the 2D video to the 3rd dimension with the aim to enrich spatial information.

Published
2019
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2. Compact representations of the articulatory-to-acoustic mapping

Author

Yves Laprie, Blaise Potard, Laprie, Yves, Analysis, perception and recognition of speech (PAROLE), INRIA Lorraine, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), and Institut National de Recherche en Informatique et en Automatique (Inria)-Université Henri Poincaré - Nancy 1 (UHP)-Université Nancy 2-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS)-Université Henri Poincaré - Nancy 1 (UHP)-Université Nancy 2-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Computer science, Process (computing), Codebook, articulatory processing, 020206 networking & telecommunications, 02 engineering and technology, Speech processing, Inversion (discrete mathematics), ACM: J.: Computer Applications, ACM: J.: Computer Applications/J.5: ARTS AND HUMANITIES/J.5.4: Linguistics, inversion, 030507 speech-language pathology & audiology, 03 medical and health sciences, Factor (programming language), 0202 electrical engineering, electronic engineering, information engineering, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC], 0305 other medical science, Algorithm, computer, speech processing, computer.programming_language
Abstract

International audience; Articulatory codebooks are very often used to represent the articulatory-to-acoustic mapping. They thus need to be compact while offering a very good acoustic precision. This paper presents a method of articulatory codebook construction more general than that of Ouni in the sense that the articulatory-to-acoustic mapping is approximated by multivariable polynomials. The second major contribution concerns the subdivision process which finds out the most efficient subdivision, i.e. that which minimizes the size of the codebook while guarantying a very good acoustic precision. Experiments carried out show that the size of the codebook can be divided by a factor of 20, and simultaneously, the acoustic precision can improved by a factor of 2 by using second order polynomials together with this new construction strategy.

Published
2007
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3. A concurrent curve strategy for formant tracking

Author

Yves Laprie, Analysis, perception and recognition of speech (PAROLE), INRIA Lorraine, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université Henri Poincaré - Nancy 1 (UHP)-Université Nancy 2-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS)-Université Henri Poincaré - Nancy 1 (UHP)-Université Nancy 2-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS), and Loria, Publications

Subjects
analyse de la parole, Computer science, speech, Speech recognition, [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH], speech analysis, suivi, 02 engineering and technology, formant, tracking, [INFO.INFO-OH] Computer Science [cs]/Other [cs.OH], 03 medical and health sciences, parole, 0302 clinical medicine, Formant, 0202 electrical engineering, electronic engineering, information engineering, Spectrogram, 020201 artificial intelligence & image processing, 030217 neurology & neurosurgery
Abstract

Colloque avec actes et comité de lecture. internationale.; International audience; Although automatic formant tracking has a wide range of potential applications it is still an open problem. We previously proposed the use of active curves that deform under the influence of the spectrogram energy. Each formant was tracked independently and a complex strategy was required to guarantee the overall formant tracking consistency. This paper describes how the interdependency between formants can be incorporated directly during the deformations of formant tracks. Iterative processes attached to each formant are interlaced. We experimented two strategies. The first consists in partitioning the spectrogram into exclusive regions, each region affiliated to a given formant. The second consists in adding a repulsion force between formants that prevents formant tracks to merge together. It turns out that the second strategy is more robust and does not necessitate a complex control strategy.

Published
2004
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