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Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech Signals

Abstract: 

Negative symptoms of schizophrenia are often associated with the blunting of emotional affect which creates a serious impediment in the daily functioning of the patients. Affective prosody is almost always adversely impacted in such cases, and is known to exhibit itself through the low-level acoustic signals of prosody. To automate and simplify the process of assessment of severity of emotion related symptoms of schizophrenia, we utilized these low-level acoustic signals to predict the expert subjective ratings assigned by a trained psychologist during an interview with the patient. Specifically, we extract acoustic features related to emotion using the openSMILE toolkit from the audio recordings of the interviews. We analysed the interviews of 78 paid participants (52 patients and 26 healthy controls) in this study. The subjective ratings could be accurately predicted from the objective openSMILE acoustic signals with an accuracy of 61-85% using machine-learning algorithms with leave-one-out cross-validation technique. Furthermore, these objective measures can be reliably utilized to distinguish between the patient and healthy groups, as supervised learning methods can classify the two groups with 79-86% accuracy.

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Paper Details

Authors:
Debsubhra Chakrabortyy, Zixu Yang, Yasir Tahir, Tomasz Maszczyk, Justin Dauwels, Nadia Thalmann, Jianmin Zheng, Yogeswary Maniam, Nur Amirah, Bhing Leet Tan and Jimmy Lee
Submitted On:
12 April 2018 - 12:16pm
Short Link:
Type:
Poster
Event:
Presenter's Name:
Debsubhra Chakraborty
Paper Code:
3667
Document Year:
2018
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Document Files

ICASSP_Poster.pdf

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[1] Debsubhra Chakrabortyy, Zixu Yang, Yasir Tahir, Tomasz Maszczyk, Justin Dauwels, Nadia Thalmann, Jianmin Zheng, Yogeswary Maniam, Nur Amirah, Bhing Leet Tan and Jimmy Lee, "Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech Signals", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2428. Accessed: May. 23, 2019.
@article{2428-18,
url = {http://sigport.org/2428},
author = {Debsubhra Chakrabortyy; Zixu Yang; Yasir Tahir; Tomasz Maszczyk; Justin Dauwels; Nadia Thalmann; Jianmin Zheng; Yogeswary Maniam; Nur Amirah; Bhing Leet Tan and Jimmy Lee },
publisher = {IEEE SigPort},
title = {Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech Signals},
year = {2018} }
TY - EJOUR
T1 - Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech Signals
AU - Debsubhra Chakrabortyy; Zixu Yang; Yasir Tahir; Tomasz Maszczyk; Justin Dauwels; Nadia Thalmann; Jianmin Zheng; Yogeswary Maniam; Nur Amirah; Bhing Leet Tan and Jimmy Lee
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2428
ER -
Debsubhra Chakrabortyy, Zixu Yang, Yasir Tahir, Tomasz Maszczyk, Justin Dauwels, Nadia Thalmann, Jianmin Zheng, Yogeswary Maniam, Nur Amirah, Bhing Leet Tan and Jimmy Lee. (2018). Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech Signals. IEEE SigPort. http://sigport.org/2428
Debsubhra Chakrabortyy, Zixu Yang, Yasir Tahir, Tomasz Maszczyk, Justin Dauwels, Nadia Thalmann, Jianmin Zheng, Yogeswary Maniam, Nur Amirah, Bhing Leet Tan and Jimmy Lee, 2018. Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech Signals. Available at: http://sigport.org/2428.
Debsubhra Chakrabortyy, Zixu Yang, Yasir Tahir, Tomasz Maszczyk, Justin Dauwels, Nadia Thalmann, Jianmin Zheng, Yogeswary Maniam, Nur Amirah, Bhing Leet Tan and Jimmy Lee. (2018). "Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech Signals." Web.
1. Debsubhra Chakrabortyy, Zixu Yang, Yasir Tahir, Tomasz Maszczyk, Justin Dauwels, Nadia Thalmann, Jianmin Zheng, Yogeswary Maniam, Nur Amirah, Bhing Leet Tan and Jimmy Lee. Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech Signals [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2428