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Authors: Venkata Srikanth Nallanthighal 1 ; 2 ; Aki Harm 2 ; Ronald Rietman 2 and Helmer Strik 1

Affiliations: 1 Centre for Language Studies (CLS), Radboud University Nijmegen, The Netherlands ; 2 Philips Research, Eindhoven, The Netherlands

Keyword(s): Speech Breathing, Signal Processing, Deep Neural Networks, Respiratory Parameters, Speech Technology.

Abstract: Coughing and shortness of breath are typical symptoms in people suffering from COPD, asthma, and COVID-19 conditions. Separate studies have shown that coughing and respiratory health parameters, respectively, can be sensed from a conversational speech recording using deep learning techniques. This paper looks into joint sensing of coughing events and the breathing pattern during natural speech. We introduce an algorithm and demonstrate its performance in realistic recordings. We observed sensitivity of 92.4% and 91.6% for cough detection and breath event detection, respectively. Clinical Relevance: Joint sensing of coughing events and respiratory parameters gives a more holistic picture of the respiratory health of a patient which can be very useful for future telehealth services.

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Paper citation in several formats:
Nallanthighal, V.; Harm, A.; Rietman, R. and Strik, H. (2022). Detection of Coughing and Respiratory Sensing in Conversational Speech. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - HEALTHINF; ISBN 978-989-758-552-4; ISSN 2184-4305, SciTePress, pages 289-295. DOI: 10.5220/0010709700003123

@conference{healthinf22,
author={Venkata Srikanth Nallanthighal. and Aki Harm. and Ronald Rietman. and Helmer Strik.},
title={Detection of Coughing and Respiratory Sensing in Conversational Speech},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - HEALTHINF},
year={2022},
pages={289-295},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010709700003123},
isbn={978-989-758-552-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - HEALTHINF
TI - Detection of Coughing and Respiratory Sensing in Conversational Speech
SN - 978-989-758-552-4
IS - 2184-4305
AU - Nallanthighal, V.
AU - Harm, A.
AU - Rietman, R.
AU - Strik, H.
PY - 2022
SP - 289
EP - 295
DO - 10.5220/0010709700003123
PB - SciTePress

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