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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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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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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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Abstract:
International audience ; The aim of this work is to develop an algorithm for controlling the articulators (the jaw, the tongue, the lips, the velum, the larynx and the epiglottis) to produce given speech sounds, syllables and phrases. This control has to take into account coarticulation and be flexible enough to be able to vary strategies for speech production. The data for the algorithm are 97 static MRI images capturing the articulation of French vowels and blocked consonant-vowel syllables. The results of this synthesis are evaluated visually, acoustically and perceptually, and the problems encountered are broken down by their origin: the dataset, its modeling, the algorithm for managing the vocal tract shapes, their translation to the area functions, and the acoustic simulation.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation; articulatory gestures; articulatory synthesis; coarticulation
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URL: https://hal.archives-ouvertes.fr/hal-01643487 https://hal.archives-ouvertes.fr/hal-01643487/file/ISSP2017Tsukanova.pdf https://hal.archives-ouvertes.fr/hal-01643487/document
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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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