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2018 | OriginalPaper | Chapter

Detecting Depression Using Voice Signal Extracted by Chatbots: A Feasibility Study

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Authors: Alexandros Roniotis, Manolis Tsiknakis

Publisher: Springer International Publishing

Published in: Interactivity, Game Creation, Design, Learning, and Innovation

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Abstract

This work aims at proposing a novel framework for detecting depression, like commonly met in cancer patients, using prosodic and statistical features extracted by voice signal. This work presents the first results of extracting these features on test and training sets extracted from the AVEC2016 dataset using MATLAB. The results indicate that voice can be used for extracting depression indicators and developing a mobile application for integrating this new knowledge could be the next step.

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Title

Detecting Depression Using Voice Signal Extracted by Chatbots: A Feasibility Study

Book

Interactivity, Game Creation, Design, Learning, and Innovation

Print ISBN: 978-3-319-76907-3

Electronic ISBN: 978-3-319-76908-0

https://doi.org/10.1007/978-3-319-76908-0

DOI

https://doi.org/10.1007/978-3-319-76908-0_37

Authors:

Alexandros Roniotis
Manolis Tsiknakis

Publisher

Springer International Publishing

Sequence number

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