Automatic Modelling of Depressed Speech: Relevant Features and Relevance of Gender

Hönig FT, Batliner A, Nöth E, Schnieder S, Krajewski J (2014)

Publication Type: Conference contribution

Publication year: 2014

Publisher: International Speech and Communication Association

Edited Volumes: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Pages Range: 1248-1252

Conference Proceedings Title: Proceedings of the Fifteenth Annual Conference of the International Speech Communication Association (INTERSPEECH 2014)

Event location: Singapore

URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Hoenig14-AMO.pdf

Abstract

Depression is an affective disorder characterised by psychomotor retardation; in speech, this shows up in reduction of pitch (variation, range), loudness, and tempo, and in voice qualities different from those of typical modal speech. A similar reduction can be observed in sleepy speech (relaxation). In this paper, we employ a small group of acoustic features modelling prosody and spectrum that have been proven successful in the modelling of sleepy speech, enriched with voice quality features, for the modelling of depressed speech within a regression approach. This knowledge-based approach is complemented by and compared with brute-forcing and automatic feature selection. We further discuss gender differences and the contributions of (groups of) features both for the modelling of depression and across depression and sleepiness.

Authors with CRIS profile

Florian Thomas Hönig Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Anton Batliner Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Elmar Nöth Professur für Informatik (Mustererkennung)

How to cite

APA:

Hönig, F.T., Batliner, A., Nöth, E., Schnieder, S., & Krajewski, J. (2014). Automatic Modelling of Depressed Speech: Relevant Features and Relevance of Gender. In Proceedings of the Fifteenth Annual Conference of the International Speech Communication Association (INTERSPEECH 2014) (pp. 1248-1252). Singapore: International Speech and Communication Association.

MLA:

Hönig, Florian Thomas, et al. "Automatic Modelling of Depressed Speech: Relevant Features and Relevance of Gender." Proceedings of the Fifteenth Annual Conference of the International Speech Communication Association (INTERSPEECH 2014), Singapore International Speech and Communication Association, 2014. 1248-1252.

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