Paralinguistic Speach Characteristics in Major Depressive Disorder (ParaSpeChaD)

Third party funded individual grant


Start date : 01.01.2020

End date : 31.12.2022

Extension date: 31.12.2024

Website: https://klips.phil.fau.de/paralinguistische-stimmcharakteristika-bei-depression

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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

Absolutist word usage in spoken language as a marker of depression: an ecological momentary assessment study (2026) Bauer J, Gerczuk M, Schindler-Gmelch L, Schuller B, Berking M Journal article Comparison of speech elicitation tasks for machine learning-based depression classification (2025) Bauer J, Gerczuk M, Schuller B, Berking M Conference contribution Prosody-focused feedback enhances the efficacy of anti-depressive self-statements in depressed individuals – A randomized controlled trial (2024) Bauer J, Schindler-Gmelch L, Gerczuk M, Schuller B, Berking M Journal article Optimizing speech elicitation tasks for machine learning-based depression assessment (2024) Bauer J, Gerczuk M, Schuller BW, Berking M Conference contribution Validation of Machine Learning-Based Assessment of Major Depressive Disorder from Paralinguistic Speech Characteristics in Routine Care (2024) Bauer J, Gerczuk M, Schindler-Gmelch L, Amiriparian S, Ebert DD, Krajewski J, Schuller BW, Berking M Journal article Noise Robust Recognition of Depression Status and Treatment Response from Speech via Unsupervised Feature Aggregation (2023) Gerczuk M, Amiriparian S, Kathan A, Bauer J, Berking M, Schuller BW Conference contribution Zero-shot personalization of speech foundation models for depressed mood monitoring (2023) Gerczuk M, Triantafyllopoulos A, Amiriparian S, Kathan A, Bauer J, Berking M, Schuller BW Journal article