Tracking depressed mood using speech pause patterns

Maria K Wolters; Luis Ferrini; Elaine Farrow; Aurora Szentagotai Tătar; Christopher D Burton

Tracking depressed mood using speech pause patterns

Maria K Wolters, Luis Ferrini, Elaine Farrow, Aurora Szentagotai Tătar, Christopher D Burton

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

The speech of people with depression often shows clear signs of their condition (e.g., flat intonation, slow speech, long pauses), but it is not clear to what extent these signs covary with diurnal fluctuations in mood. In this paper, we report results from a pilot longitudinal study where 11 people with depression tracked various aspects of their mental health for a month. This included a daily mood tracker and regular completion of speech tasks. Speech tasks were designed to be emotionally neutral and require different levels of automaticity. We found that participants differed in their willingness to complete the speech tasks, and that preliminary analyses show no clear link between mood and prosody. We discuss implications of this study for tracking depressed mood using speech in real-life applications.

Original language	English
Title of host publication	Proceedings of the 18th International Congress of Phonetic Sciences (ICPhS 2015)
Editors	The Scottish Consortium for ICPhS 2015
Place of Publication	Glasgow
Publisher	University of Glasgow
ISBN (Electronic)	978-0-85261-941-4
Publication status	Published - Aug 2015
Event	18th International Congress of Phonetic Sciences (ICPhS) - SECC, Glasgow, United Kingdom Duration: 10 Aug 2015 → 14 Aug 2015

Conference

Conference	18th International Congress of Phonetic Sciences (ICPhS)
Country/Territory	United Kingdom
City	Glasgow
Period	10/08/15 → 14/08/15

Keywords / Materials (for Non-textual outputs)

depression
emotion
pauses
prosody

Access to Document

Wolters-ICPHS-2015-Tracking-Depressed-Mood-Using-SpeechFinal published version, 92.8 KBLicence: Creative Commons: Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND)

http://www.icphs2015.info/pdfs/Papers/ICPHS0811.pdf

Cite this

@inproceedings{a4813d39173242f78235bb3148cc7226,

title = "Tracking depressed mood using speech pause patterns",

abstract = "The speech of people with depression often shows clear signs of their condition (e.g., flat intonation, slow speech, long pauses), but it is not clear to what extent these signs covary with diurnal fluctuations in mood. In this paper, we report results from a pilot longitudinal study where 11 people with depression tracked various aspects of their mental health for a month. This included a daily mood tracker and regular completion of speech tasks. Speech tasks were designed to be emotionally neutral and require different levels of automaticity. We found that participants differed in their willingness to complete the speech tasks, and that preliminary analyses show no clear link between mood and prosody. We discuss implications of this study for tracking depressed mood using speech in real-life applications.",

keywords = "depression, emotion, pauses, prosody",

author = "Wolters, {Maria K} and Luis Ferrini and Elaine Farrow and {Szentagotai T{\u a}tar}, Aurora and Burton, {Christopher D}",

year = "2015",

month = aug,

language = "English",

editor = "{The Scottish Consortium for ICPhS 2015}",

booktitle = "Proceedings of the 18th International Congress of Phonetic Sciences (ICPhS 2015)",

publisher = "University of Glasgow",

note = "18th International Congress of Phonetic Sciences (ICPhS) ; Conference date: 10-08-2015 Through 14-08-2015",

}

Wolters, MK, Ferrini, L, Farrow, E, Szentagotai Tătar, A & Burton, CD 2015, Tracking depressed mood using speech pause patterns. in TSCFICP (ed.), Proceedings of the 18th International Congress of Phonetic Sciences (ICPhS 2015). University of Glasgow, Glasgow, 18th International Congress of Phonetic Sciences (ICPhS), Glasgow, United Kingdom, 10/08/15. <http://www.icphs2015.info/pdfs/Papers/ICPHS0811.pdf >

TY - GEN

T1 - Tracking depressed mood using speech pause patterns

AU - Wolters, Maria K

AU - Ferrini, Luis

AU - Farrow, Elaine

AU - Szentagotai Tătar, Aurora

AU - Burton, Christopher D

PY - 2015/8

Y1 - 2015/8

N2 - The speech of people with depression often shows clear signs of their condition (e.g., flat intonation, slow speech, long pauses), but it is not clear to what extent these signs covary with diurnal fluctuations in mood. In this paper, we report results from a pilot longitudinal study where 11 people with depression tracked various aspects of their mental health for a month. This included a daily mood tracker and regular completion of speech tasks. Speech tasks were designed to be emotionally neutral and require different levels of automaticity. We found that participants differed in their willingness to complete the speech tasks, and that preliminary analyses show no clear link between mood and prosody. We discuss implications of this study for tracking depressed mood using speech in real-life applications.

AB - The speech of people with depression often shows clear signs of their condition (e.g., flat intonation, slow speech, long pauses), but it is not clear to what extent these signs covary with diurnal fluctuations in mood. In this paper, we report results from a pilot longitudinal study where 11 people with depression tracked various aspects of their mental health for a month. This included a daily mood tracker and regular completion of speech tasks. Speech tasks were designed to be emotionally neutral and require different levels of automaticity. We found that participants differed in their willingness to complete the speech tasks, and that preliminary analyses show no clear link between mood and prosody. We discuss implications of this study for tracking depressed mood using speech in real-life applications.

KW - depression

KW - emotion

KW - pauses

KW - prosody

M3 - Conference contribution

BT - Proceedings of the 18th International Congress of Phonetic Sciences (ICPhS 2015)

A2 - null, The Scottish Consortium for ICPhS 2015

PB - University of Glasgow

CY - Glasgow

T2 - 18th International Congress of Phonetic Sciences (ICPhS)

Y2 - 10 August 2015 through 14 August 2015

ER -

Tracking depressed mood using speech pause patterns

Abstract / Description of output

Conference

Keywords / Materials (for Non-textual outputs)

Access to Document

Fingerprint

Cite this