Papers by Thierry Legou

2 papers
The Speed-Vel Project: a Corpus of Acoustic and Aerodynamic Data to Measure Droplets Emission During Speech Interaction (2022.lrec-1)

Copied to clipboard

Challenge: Conversations and professional interactions are associated with increased risk of SARS-CoV-2 exposure . however, it is unclear to what extent speech properties influence droplets emission .
Approach: They propose to measure velocity and direction of airflow, the number and size of droplets spread during conversation in french.
Outcome: The results will allow future simulation studies to predict the transport, dispersion and evaporation of droplets emitted under different speech conditions.
The Badalona Corpus - An Audio, Video and Neuro-Physiological Conversational Dataset (2022.lrec-1)

Copied to clipboard

Challenge: Using the same dyads at different periods, we can study the evolution of interlocutors’ alignment during the time.
Approach: They propose to record 5 dyads with all modalities and neuro-physiological signals in a natural conversation corpus.
Outcome: The proposed corpus is the first to capture all modalities and neuro-physiological signals in a natural conversation situation.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations