Cargando…
Zero-shot personalization of speech foundation models for depressed mood monitoring
The monitoring of depressed mood plays an important role as a diagnostic tool in psychotherapy. An automated analysis of speech can provide a non-invasive measurement of a patient’s affective state. While speech has been shown to be a useful biomarker for depression, existing approaches mostly build...
Autores principales: | Gerczuk, Maurice, Triantafyllopoulos, Andreas, Amiriparian, Shahin, Kathan, Alexander, Bauer, Jonathan, Berking, Matthias, Schuller, Björn W. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682756/ https://www.ncbi.nlm.nih.gov/pubmed/38035199 http://dx.doi.org/10.1016/j.patter.2023.100873 |
Ejemplares similares
-
Synchronization in Interpersonal Speech
por: Amiriparian, Shahin, et al.
Publicado: (2019) -
DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing From Decentralized Data
por: Amiriparian, Shahin, et al.
Publicado: (2022) -
motilitAI: A machine learning framework for automatic prediction of human sperm motility
por: Ottl, Sandra, et al.
Publicado: (2022) -
Personalised depression forecasting using mobile sensor data and ecological momentary assessment
por: Kathan, Alexander, et al.
Publicado: (2022) -
HEAR4Health: a blueprint for making computer audition a staple of modern healthcare
por: Triantafyllopoulos, Andreas, et al.
Publicado: (2023)