Sustained Vowels for Pre- vs Post-Treatment COPD Classification

Andreas Triantafyllopoulos, Anton Batliner, Wolfgang Mayr, Markus Fendler, Florian Pokorny, Maurice Gerczuk, Shahin Amiriparian, Thomas Berghaus, Björn Schuller

Research output: Contribution to journalConference articlepeer-review

Abstract

Chronic obstructive pulmonary disease (COPD) is a serious inflammatory lung disease affecting millions of people around the world. Due to an obstructed airflow from the lungs, it also becomes manifest in patients' vocal behaviour. Of particular importance is the detection of an exacerbation episode, which marks an acute phase and often requires hospitalisation and treatment. Previous work has shown that it is possible to distinguish between a pre- and a post-treatment state using automatic analysis of read speech. In this contribution, we examine whether sustained vowels can provide a complementary lens for telling apart these two states. Using a cohort of 50 patients, we show that the inclusion of sustained vowels can improve performance to up to 79% unweighted average recall, from a 71% baseline using read speech. We further identify and interpret the most important acoustic features that characterise the manifestation of COPD in sustained vowels.

Original languageEnglish
Pages (from-to)1410-1414
Number of pages5
JournalProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
DOIs
StatePublished - 2024
Event25th Interspeech Conferece 2024 - Kos Island, Greece
Duration: 1 Sep 20245 Sep 2024

Keywords

  • COPD
  • computational paralinguistics
  • digital health
  • sustained vowels
  • treatment evaluation

Fingerprint

Dive into the research topics of 'Sustained Vowels for Pre- vs Post-Treatment COPD Classification'. Together they form a unique fingerprint.

Cite this