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Communication Dans Un Congrès Année : 2022

The Speed-Vel Project: a Corpus of Acoustic and Aerodynamic Data to Measure Droplets Emission During Speech Interaction

Résumé

Conversations (normal speech) or professional interactions (e.g., projected speech in the classroom) have been identified as situations with increased risk of exposure to SARS-CoV-2 due to the high production of droplets in the exhaled air. However, it is still unclear to what extent speech properties influence droplets emission during everyday life conversations. Here, we report the experimental protocol of three experiments aiming at measuring the velocity and the direction of the airflow, the number and size of droplets spread during speech interactions in French. We consider different phonetic conditions, potentially leading to a modulation of speech droplets production, such as voice intensity (normal vs. loud voice), articulation manner of phonemes (type of consonants and vowels) and prosody (i.e., the melody of the speech). Findings from these experiments will allow future simulation studies to predict the transport, dispersion and evaporation of droplets emitted under different speech conditions.
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Dates et versions

hal-03718477 , version 1 (08-07-2022)

Identifiants

  • HAL Id : hal-03718477 , version 1

Citer

Francesca Carbone, Gilles Bouchet, Alain Ghio, Thierry Legou, Carine André, et al.. The Speed-Vel Project: a Corpus of Acoustic and Aerodynamic Data to Measure Droplets Emission During Speech Interaction. 13th Conference on Language Resources and Evaluation (LREC 2022), 2022, Marseille, France. pp.1991-1999. ⟨hal-03718477⟩
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