Towards Unsupervised Subject-Independent Speech-Based Relapse Detection in Patients with Psychosis using Variational Autoencoders

Generative models, such as Variational Autoen-coders, are being increasingly utilized for various acoustic modeling tasks, such as anomaly detection from audio signals. Motivated by this, in this work we propose a Convolutional Variational Autoencoder (CVAE), in order to detect and predict the appea...

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Veröffentlicht in:	2022 30th European Signal Processing Conference (EUSIPCO) S. 175 - 179
Hauptverfasser:	Garoufis, C., Zlatintsi, A., Filntisis, P. P., Efthymiou, N., Kalisperakis, E., Karantinos, T., Garyfalli, V., Lazaridi, M., Smyrnis, N., Maragos, P.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	EUSIPCO 29.08.2022
Schlagworte:	Aggregates Anomaly Detection Convolution Europe Interviews Mental disorders Predictive models Protocols Psychotic Disorders Relapse Prediction Spontaneous Speech Vari-ational Autoencoder
ISSN:	2076-1465
Online-Zugang:	Volltext
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