Therapy Progress Indicator (TPI): Combining speech parameters and the subjective unit of distress

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Standard

Therapy Progress Indicator (TPI) : Combining speech parameters and the subjective unit of distress. / Van Den Broek, Egon L.; Van Der Sluis, Frans; Dijkstra, Ton.

Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009. 2009. 5349554 (Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Harvard

Van Den Broek, EL, Van Der Sluis, F & Dijkstra, T 2009, Therapy Progress Indicator (TPI): Combining speech parameters and the subjective unit of distress. in Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009., 5349554, Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009, 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009, Amsterdam, Netherlands, 10/09/2009. https://doi.org/10.1109/ACII.2009.5349554

APA

Van Den Broek, E. L., Van Der Sluis, F., & Dijkstra, T. (2009). Therapy Progress Indicator (TPI): Combining speech parameters and the subjective unit of distress. In Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009 [5349554] Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009 https://doi.org/10.1109/ACII.2009.5349554

Vancouver

Van Den Broek EL, Van Der Sluis F, Dijkstra T. Therapy Progress Indicator (TPI): Combining speech parameters and the subjective unit of distress. In Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009. 2009. 5349554. (Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009). https://doi.org/10.1109/ACII.2009.5349554

Author

Van Den Broek, Egon L. ; Van Der Sluis, Frans ; Dijkstra, Ton. / Therapy Progress Indicator (TPI) : Combining speech parameters and the subjective unit of distress. Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009. 2009. (Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009).

Bibtex

@inproceedings{6bf97cfa33414957b6cb9f0f018d5c4e,
title = "Therapy Progress Indicator (TPI): Combining speech parameters and the subjective unit of distress",
abstract = "A posttraumatic stress disorder (PTSD) is a severe handicap in daily life and its treatment is complex. To evaluate the success of treatments, an objective and unobtrusive expert system was envisioned: an therapy progress indicator (TPI). Speech was considered as an excellent candidate for providing an objective, unobtrusive emotion measure. Speech of 26 PTSD patients was recorded while they participated in two reliving sessions: re-experiencing their last panic attack and their last joyful occasion. As a subjective measure, the subjective unit of distress was determined, which enabled the validation of derived speech features. A set of parameters of the speech features: signal, power, zero crossing ratio, and pitch, was found to discriminate between the two sessions. A regression model involving these parameters was able to distinguish between positive and negative distress. This model lays the foundation for an TPI for patients with PTSD, which enables objective and unobtrusive evaluations of therapies.",
author = "{Van Den Broek}, {Egon L.} and {Van Der Sluis}, Frans and Ton Dijkstra",
year = "2009",
doi = "10.1109/ACII.2009.5349554",
language = "English",
isbn = "9781424447992",
series = "Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009",
booktitle = "Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009",
note = "2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009 ; Conference date: 10-09-2009 Through 12-09-2009",

}

RIS

TY - GEN

T1 - Therapy Progress Indicator (TPI)

T2 - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009

AU - Van Den Broek, Egon L.

AU - Van Der Sluis, Frans

AU - Dijkstra, Ton

PY - 2009

Y1 - 2009

N2 - A posttraumatic stress disorder (PTSD) is a severe handicap in daily life and its treatment is complex. To evaluate the success of treatments, an objective and unobtrusive expert system was envisioned: an therapy progress indicator (TPI). Speech was considered as an excellent candidate for providing an objective, unobtrusive emotion measure. Speech of 26 PTSD patients was recorded while they participated in two reliving sessions: re-experiencing their last panic attack and their last joyful occasion. As a subjective measure, the subjective unit of distress was determined, which enabled the validation of derived speech features. A set of parameters of the speech features: signal, power, zero crossing ratio, and pitch, was found to discriminate between the two sessions. A regression model involving these parameters was able to distinguish between positive and negative distress. This model lays the foundation for an TPI for patients with PTSD, which enables objective and unobtrusive evaluations of therapies.

AB - A posttraumatic stress disorder (PTSD) is a severe handicap in daily life and its treatment is complex. To evaluate the success of treatments, an objective and unobtrusive expert system was envisioned: an therapy progress indicator (TPI). Speech was considered as an excellent candidate for providing an objective, unobtrusive emotion measure. Speech of 26 PTSD patients was recorded while they participated in two reliving sessions: re-experiencing their last panic attack and their last joyful occasion. As a subjective measure, the subjective unit of distress was determined, which enabled the validation of derived speech features. A set of parameters of the speech features: signal, power, zero crossing ratio, and pitch, was found to discriminate between the two sessions. A regression model involving these parameters was able to distinguish between positive and negative distress. This model lays the foundation for an TPI for patients with PTSD, which enables objective and unobtrusive evaluations of therapies.

UR - http://www.scopus.com/inward/record.url?scp=77949412171&partnerID=8YFLogxK

U2 - 10.1109/ACII.2009.5349554

DO - 10.1109/ACII.2009.5349554

M3 - Article in proceedings

AN - SCOPUS:77949412171

SN - 9781424447992

T3 - Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009

BT - Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009

Y2 - 10 September 2009 through 12 September 2009

ER -

ID: 337216668