Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Sara Dahmani"'
Publikováno v:
BMC Medical Education, Vol 22, Iss 1, Pp 1-8 (2022)
Abstract Background Antimicrobial stewardship programs (ASPs) play a big role in minimizing antimicrobial resistance. Pharmacists are essential members of the health care team and in order for them to fulfill roles on ASP teams and become antimicrobi
Externí odkaz:
https://doaj.org/article/f3e427d2d8c544da9827701896e52650
Publikováno v:
BMC Medical Education, Vol 22, Iss 1, Pp 1-1 (2022)
Externí odkaz:
https://doaj.org/article/ccbdf722f8f94febad01cbc6ee4abc4f
Publikováno v:
Journal of Oncology Pharmacy Practice. :107815522211416
Background There is a paucity of studies about the readiness of community pharmacists to manage the safe and effective use of oral anticancer medicines (OAMs) in developing settings. Objectives Using the readiness component (knowledge and willingness
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fee5ee805543f0f2419385906c32bb20
https://doi.org/10.1177/10781552221141696
https://doi.org/10.1177/10781552221141696
Publikováno v:
United States, Patent n° : WO2021023861. 2021
HAL
HAL
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0c5b7aaa2f53aed50ad4ca920c5f0460
https://inria.hal.science/hal-03167213
https://inria.hal.science/hal-03167213
Publikováno v:
Neural Networks
Neural Networks, Elsevier, 2021, 141, pp.315-329. ⟨10.1016/j.neunet.2021.04.021⟩
Neural Networks, 2021, 141, pp.315-329. ⟨10.1016/j.neunet.2021.04.021⟩
Neural Networks, Elsevier, 2021, 141, pp.315-329. ⟨10.1016/j.neunet.2021.04.021⟩
Neural Networks, 2021, 141, pp.315-329. ⟨10.1016/j.neunet.2021.04.021⟩
International audience; Great improvement has been made in the field of expressive audiovisual Text-to-Speech synthesis (EAVTTS) thanks to deep learning techniques. However, generating realistic speech is still an open issue and researchers in this a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb49718d2c957d8ff1ca49d1428e6a35
https://hal.inria.fr/hal-03204193
https://hal.inria.fr/hal-03204193
Publikováno v:
Language Resources and Evaluation
Language Resources and Evaluation, Springer Verlag, 2020, ⟨10.1007/s10579-020-09500-w⟩
Language Resources and Evaluation, 2020, ⟨10.1007/s10579-020-09500-w⟩
Language Resources and Evaluation, Springer Verlag, 2020, ⟨10.1007/s10579-020-09500-w⟩
Language Resources and Evaluation, 2020, ⟨10.1007/s10579-020-09500-w⟩
International audience; In this paper, we present a multimodal acquisition setup that combines different motion-capture systems. This system is mainly aimed for recording expressive audiovisual corpus in the context of audiovisual speech synthesis. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58b1f70a3ea06c35ca558f46b21b004b
https://hal.archives-ouvertes.fr/hal-02907046
https://hal.archives-ouvertes.fr/hal-02907046
Publikováno v:
INTERSPEECH 2019-20th Annual Conference of the International Speech Communication Association
INTERSPEECH 2019-20th Annual Conference of the International Speech Communication Association, Sep 2019, Graz, Austria
INTERSPEECH
INTERSPEECH 2019-20th Annual Conference of the International Speech Communication Association, Sep 2019, Graz, Austria
INTERSPEECH
International audience; In recent years, the performance of speech synthesis systems has been improved thanks to deep learning-based models, but generating expressive audiovisual speech is still an open issue. The variational auto-encoders (VAE)s are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ae9273155b76bb8f695011c91835036
https://hal.inria.fr/hal-02175776/document
https://hal.inria.fr/hal-02175776/document
Publikováno v:
INTERSPEECH 2019-20th Annual Conference of the International Speech Communication Association
INTERSPEECH 2019-20th Annual Conference of the International Speech Communication Association, Sep 2019, Graz, Austria
HAL
INTERSPEECH
INTERSPEECH 2019-20th Annual Conference of the International Speech Communication Association, Sep 2019, Graz, Austria
HAL
INTERSPEECH
International audience; In this study, we investigate how to learn labial coarticula-tion to generate a sparse representation of the face from speech. To do so, we experiment a sequential deep learning model, bidi-rectional gated recurrent networks,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f776d39e6832f61945cabdb70a3cea2d
https://inria.hal.science/hal-02175780/document
https://inria.hal.science/hal-02175780/document
Autor:
Slim Ouni, Sara Dahmani
Publikováno v:
The Journal of the Acoustical Society of America. 139:EL234-EL239
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 ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba3a8c92bdddcae3df153c450f9545db
https://doi.org/10.1121/1.4954497
https://doi.org/10.1121/1.4954497
Publikováno v:
The 14th International Conference on Auditory-Visual Speech Processing
The 14th International Conference on Auditory-Visual Speech Processing, KTH, Aug 2017, Stockholm, Sweden
AVSP
The 14th International Conference on Auditory-Visual Speech Processing, KTH, Aug 2017, Stockholm, Sweden
AVSP
Proceedings on line: http://avsp2017.loria.fr/proceedings/; International audience; In the context of developing an expressive audiovisual speech synthesis system, the quality of the audiovisual corpus from which the 3D visual data will be extracted
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::273eb1c3fe9f5983c96242ea53ef99b2
https://hal.inria.fr/hal-01596614/document
https://hal.inria.fr/hal-01596614/document