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Speech Analysis for Acute Decompensated Heart Failure: Reporting a Pilot Study in Germany

MCML Authors

Link to Profile Björn Schuller

Björn Schuller

Prof. Dr.

Core PI

Health Informatics

Abstract

Acute decompensated heart failure (ADHF) has been shown to affect breathing and speech production. We present a new German speech dataset and conduct a pilot study to show the feasibility of using speech to distinguish between decompensated and recompensated ADHF. We achieve accuracy rates of 77% for this binary classification using read speech, with the use of segmented phrases scoring at 75% and sustained vowels trailing far behind at 52%. Our feature analysis shows a reduction in breathiness and an increase in articulation stability during recompensation. Overall, our results show the promise of speech analysis in the monitoring of ADHF and demonstrate that further efforts should be invested to obtain large-scale data and replicate our results in more heterogeneous populations.

article TMB+26

Frontiers in Digital Health

8.1885715. Aug. 2026.

Authors

A. Triantafyllopoulos • W. Mayr • A. Batliner • L. Lempkens • B. W. Schuller • T. M. Berghaus

Links

DOI

Research Area

 B3 | Multimodal Perception

BibTeXKey: TMB+26

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