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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 9 of 9 1 Learning emotions latent representation with CVAE for Text-Driven Expressive AudioVisual Speech Synthesis Dahmani, Sara; Colotte, Vincent; Girard, Valérian... In: ISSN: 0893-6080 ; Neural Networks ; https://hal.inria.fr/hal-03204193 ; Neural Networks, Elsevier, 2021, 141, pp.315-329. &#x27E8;10.1016/j.neunet.2021.04.021&#x27E9; (2021) BASE Show details 2 Audio-driven speech animation using recurrent neutral network Ouni, Slim; Biasutto--Lervat, Théo; Dahmani, Sara In: https://hal.inria.fr/hal-03167213 ; United States, Patent n° : WO2021023861. 2021 (2021) BASE Show details 3 Some consideration on expressive audiovisual speech corpus acquisition using a multimodal platform [<Journal>] Dahmani, Sara [Verfasser]; Colotte, Vincent [Verfasser]; Ouni, Slim [Verfasser] DNB Subject Category Language Show details 4 Some consideration on expressive audiovisual speech corpus acquisition using a multimodal platform Dahmani, Sara; Colotte, Vincent; Ouni, Slim In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-02907046 ; Language Resources and Evaluation, Springer Verlag, 2020, &#x27E8;10.1007/s10579-020-09500-w&#x27E9; ; https://link.springer.com/article/10.1007%2Fs10579-020-09500-w (2020) BASE Show details 5 Audiovisual synthesis of expressive speech : modeling of emotions with deep learning ; Synthèse audiovisuelle de la parole expressive : modélisation des émotions par apprentissage profond Dahmani, Sara. - : HAL CCSD, 2020 In: https://hal.inria.fr/tel-03079349 ; Informatique [cs]. Université de Lorraine, 2020. Français. &#x27E8;NNT : 2020LORR0137&#x27E9; (2020) BASE Show details 6 Modeling Labial Coarticulation with Bidirectional Gated Recurrent Networks and Transfer Learning Biasutto--Lervat, Théo; Dahmani, Sara; Ouni, Slim In: INTERSPEECH 2019 - 20th Annual Conference of the International Speech Communication Association ; https://hal.inria.fr/hal-02175780 ; INTERSPEECH 2019 - 20th Annual Conference of the International Speech Communication Association, Sep 2019, Graz, Austria (2019) BASE Show details 7 Conditional Variational Auto-Encoder for Text-Driven Expressive AudioVisual Speech Synthesis Dahmani, Sara; Colotte, Vincent; Girard, Valérian... In: INTERSPEECH 2019 - 20th Annual Conference of the International Speech Communication Association ; https://hal.inria.fr/hal-02175776 ; INTERSPEECH 2019 - 20th Annual Conference of the International Speech Communication Association, Sep 2019, Graz, Austria (2019) BASE Show details 8 Acoustic and Visual Analysis of Expressive Speech: A Case Study of French Acted Speech Ouni, Slim; Colotte, Vincent; Dahmani, Sara... In: Interspeech 2016 ; https://hal.inria.fr/hal-01398528 ; Interspeech 2016, ISCA, Nov 2016, San Francisco, United States. pp.580 - 584, &#x27E8;10.21437/Interspeech.2016-730&#x27E9; ; http://www.interspeech2016.org (2016) BASE Show details 9 Is markerless acquisition of speech production accurate ? Ouni, Slim; Dahmani, Sara In: ISSN: 0001-4966 ; EISSN: 1520-8524 ; Journal of the Acoustical Society of America ; https://hal.inria.fr/hal-01315579 ; Journal of the Acoustical Society of America, Acoustical Society of America, 2016, EL234, 139 (6), &#x27E8;10.1121/1.4954497&#x27E9; ; http://scitation.aip.org/content/asa/journal/jasael (2016) Abstract: International audience ; In this study, the precision of markerless acquisition techniques have been assessed when used to acquire articulatory data for speech production studies. Two different markerless systems have been evaluated and compared to a marker-based one. The main finding is that both markerless systems provide reasonable result during normal speech and the quality is uneven during fast articulated speech. The quality of the data is dependent on the temporal resolution of the markerless system. Keyword: [INFO]Computer Science [cs]; [SCCO.LING]Cognitive science/Linguistics; [SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT]; [SHS]Humanities and Social Sciences; [SPI]Engineering Sciences [physics]; articulatory; articulograph; kinect; lips; motion capture; primesense; realsense; Vicon URL: https://hal.inria.fr/hal-01315579/document https://hal.inria.fr/hal-01315579/file/jasa-el_markerless.pdf https://hal.inria.fr/hal-01315579 https://doi.org/10.1121/1.4954497 BASE Hide details

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