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Audiovisual Alignment in a Face-to-Face Conversation ...

    https://link.springer.com/chapter/10.1007%2F978-3-642-04391-8_8
    The proposed method has been evaluated in the VideoTRAN translating videophone environment, where an H.323 software client translating videophone allows for the transmission and translation of a set of multimodal verbal and nonverbal clues in a multilingual face-to-face communication setting.

Before and During: Audiovisual Materials - Live or Face-to ...

    https://infoguides.rit.edu/c.php?g=1165703&p=8510122
    Before Using Audiovisual Materials. Be aware that audiovisual materials should have captions if you show them. The library has captioned DVDs, and streaming video databases such as Swank, Films on Demand, Kanopy, and LinkedIn Learning. If you use YouTube, try to find a captioned video.

VideoTRAN: A Translation Framework for Audiovisual Face-to ...

    https://link.springer.com/chapter/10.1007%2F978-3-540-76442-7_19
    This chapter describes VideoTRAN, a conceptual framework for translating audiovisual face-to-face conversations. A simple method for audiovisual alignment in the target language is proposed and the process of audiovisual speech synthesis is described. The VideoTRAN framework has been tested in a translating videophone.

HOME HEALTH: Face-to-Face Encounter Must Be Audio/Video ...

    https://www.ochch.org/home-health-face-to-face-encounter-must-be-audio-video-telehealth
    FAQ – Answer: The face-to-face encounter, as described at 1814(a)(2)(C) and 1835(a)(2)(A) of the Social Security Act, can be performed via telehealth in accordance with the requirements under 1834(m)(4)(C) of the Social Security Act (SS Act). Under the expansion of telehealth under the 1135 waiver, beneficiaries are able to use telehealth ...

(PDF) Data Richness Trade-Offs Between Face-to-Face ...

    https://www.researchgate.net/publication/262797279_Data_Richness_Trade-Offs_Between_Face-to-Face_Online_Audiovisual_and_Online_Text-Only_Focus_Groups
    Data Richness Trade-Offs Between Face-to-Face, Online Audiovisual, and Online Text-Only Focus Groups

Face-to-face video-streaming classes post-covid | ADAUGE ...

    https://adauge.com/en/face-to-face-video-streaming-classes-post-covid/
    Schools base their educational system, their pedagogical method and their business model on a face-to-face education. Legal measures and the new normal directly affect face-to-face education.. In this new paradigm presented by the post-covid era, we want to bring schools a solution that allows them to be prepared for a possible resurgence and continue betting on …

Explanation of dental implant treatment : audiovisual ...

    https://www.dentistry33.com/clinical-cases/implantology/335/explanation-of-dental-implant-treatment-audiovisual-information-or-verbal-communication-face-to-face.html
    Audiovisual information seems to generate higher levels of anxiety and fear than conventional face-to-face verbal information in patients undergoing dental Implant treatment . Further clinical studies should be conducted to confirm the present findings.

Data Richness Trade-Offs Between Face-to-Face, Online ...

    https://journals.sagepub.com/doi/abs/10.1177/0894439313519733
    This study offers an examination of data richness (i.e., topic-related data, topic unrelated data, researcher ratings of data richness, word count, and linguistic characteristics of data richness) trade-offs between face-to-face (FTF), online text-only and online audiovisual focus group mediums.

F2F_Face to Face Contenido y Producción Audiovisual - …

    https://www.youtube.com/watch?v=CU1L30VxLh0
    Creamos, diseñamos y desarrollamos contenido audiovisual transformandouna idea en imagen y sonido, con un objetivo claro en la comunicación.Producimos conten...

Speech2Face: Learning the Face Behind a Voice

    https://speech2face.github.io/
    During training, our model learns audiovisual, voice-face correlations that allow it to produce images that capture various physical attributes of the speakers such as age, gender and ethnicity. This is done in a self-supervised manner, by utilizing the natural co-occurrence of faces and speech in Internet videos, without the need to model attributes explicitly.

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