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Speech Analysis for Advanced Medical Simulation

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Innovations in Learning and Technology for the Workplace and Higher Education (TLIC 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 349))

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Abstract

The e-REAL voice and speech analysis app helps medical simulation instructors to track learners individually with a focus on multiple factors such as tone of voice and spoken words, volume, rhythm, and other relevant aspects that are essential to provide a semantic and pragmatic overview of the interpersonal communication that is happening within a simulation setting. Functions and visual outputs include the following: 1. An integral transcript or a dialogue which can be visualized — audio clips, automatically divided phrase by phrase, are also available. 2. A word counter shows the number of spoken words per minute. 3. An internal search engine enables keyword search, highlighting the words in the transcript. 4. A word cloud tool visually summarizes the most spoken words. 5. A Voice Analysis tool is available in order to measure and visualize waveform (Decibel), perceived loudness (Hertz), and pitch.

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Author information

Authors and Affiliations

  1. Centro Studi Logos, 10143, Turin, TO, Italy

    Barbara Bertagni & Fernando Salvetti

  2. Logosnet, 6900, Lugan, CH, Switzerland

    Barbara Bertagni & Fernando Salvetti

  3. Logosnet, Houston, TX, 77008, USA

    Barbara Bertagni & Fernando Salvetti

  4. Center for Medical Simulation, Boston, MA, 02129, USA

    Roxane Gardner

  5. Brigham and Women’s Hospital/Children’s Hospital/Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA

    Roxane Gardner

  6. Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA

    Rebecca Minehart

  7. Center for Medical Simulation, Boston, MA, 02129, USA

    Rebecca Minehart

Authors
  1. Barbara Bertagni
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  2. Fernando Salvetti
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  3. Roxane Gardner
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  4. Rebecca Minehart
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Corresponding author

Correspondence to Barbara Bertagni .

Editor information

Editors and Affiliations

  1. Kaleidoscope Learning, International E-Learning Association, New York, NY, USA

    David Guralnick

  2. Carinthia University of Applied Sciences, St. Magdalen, Austria

    Michael E. Auer

  3. Università degli Studi di Modena e Reggio Emilia, Rome, Italy

    Antonella Poce

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© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Bertagni, B., Salvetti, F., Gardner, R., Minehart, R. (2022). Speech Analysis for Advanced Medical Simulation. In: Guralnick, D., Auer, M.E., Poce, A. (eds) Innovations in Learning and Technology for the Workplace and Higher Education. TLIC 2021. Lecture Notes in Networks and Systems, vol 349. Springer, Cham. https://doi.org/10.1007/978-3-030-90677-1_2

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