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DNN-Based Parametric Speech Synthesis Enhanced With Articulatory Information
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In: ISSP 2020 - 12th International Seminar on Speech Production ; https://hal.inria.fr/hal-03090869 ; ISSP 2020 - 12th International Seminar on Speech Production, Dec 2020, Providence / Virtual, United States ; https://issp2020.yale.edu/ (2020)
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Articulatory speech synthesis ; Synthèse articulatoire de la parole
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In: https://hal.archives-ouvertes.fr/tel-02433528 ; Computation and Language [cs.CL]. Université de Lorraine, 2019. English. ⟨NNT : 2019LORR0166⟩ (2019)
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A Multimodal Real-Time MRI Articulatory Corpus of French for Speech Research
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Douros, Ioannis,; Felblinger, Jacques; Frahm, Jens; Isaieva, Karyna; Joseph, Arun; Laprie, Yves; Odille, Freddy; Tsukanova, Anastasiia; Voit, Dirk; Vuissoz, Pierre-André
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In: INTERSPEECH 2019 - 20th Annual Conference of the International Speech Communication Association ; https://hal.inria.fr/hal-02167756 ; INTERSPEECH 2019 - 20th Annual Conference of the International Speech Communication Association, Sep 2019, Graz, Austria (2019)
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Abstract:
International audience ; In this work we describe the creation of ArtSpeechMRIfr: a real-time as well as static magnetic resonance imaging (rtMRI, 3D MRI) database of the vocal tract. The database contains also processed data: denoised audio, its phonetically aligned annotation, articulatory contours, and vocal tract volume information , which provides a rich resource for speech research. The database is built on data from two male speakers of French. It covers a number of phonetic contexts in the controlled part, as well as spontaneous speech, 3D MRI scans of sustained vocalic articulations, and of the dental casts of the subjects. The corpus for rtMRI consists of 79 synthetic sentences constructed from a phonetized dictionary that makes possible to shorten the duration of acquisitions while keeping a very good coverage of the phonetic contexts which exist in French. The 3D MRI includes acquisitions for 12 French vowels and 10 consonants, each of which was pronounced in several vocalic contexts. Ar-ticulatory contours (tongue, jaw, epiglottis, larynx, velum, lips) as well as 3D volumes were manually drawn for a part of the images.
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Keyword:
3D MRI data; [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; French language; Index Terms: speech corpus; multi-modal database; real-time MRI data; speech production; speech syn- thesis
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URL: https://hal.inria.fr/hal-02167756/file/db_paper.pdf
https://hal.inria.fr/hal-02167756
https://hal.inria.fr/hal-02167756/document
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Can static vocal tract positions represent articulatory targets in continuous speech? Matching static MRI captures against real-time MRI for the French language
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In: ICPhS 2019 - International Congress of Phonetic Sciences ; https://hal.inria.fr/hal-02181314 ; ICPhS 2019 - International Congress of Phonetic Sciences, Aug 2019, Melbourne, Australia (2019)
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Articulatory Speech Synthesis from Static Context-Aware Articulatory Targets
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In: ISSP 2017 - 11th International Seminar on Speech Production ; https://hal.archives-ouvertes.fr/hal-01643487 ; ISSP 2017 - 11th International Seminar on Speech Production, Oct 2017, Tianjin, China (2017)
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Articulatory model of the epiglottis
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In: The 11th International Seminar on Speech Production ; https://hal.inria.fr/hal-01643227 ; The 11th International Seminar on Speech Production, Oct 2017, Tianjin, China (2017)
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2D Articulatory Velum Modeling Applied to Copy Synthesis of Sentences Containing Nasal Phonemes
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In: International Congress of Phonetic Sciences ; https://hal.inria.fr/hal-01188738 ; International Congress of Phonetic Sciences, Aug 2015, Glasgow, United Kingdom (2015)
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