Detecting Depression using Vocal, Facial and Semantic Communication Cues-Reference-Cited by-同舟云学术

Detecting Depression using Vocal, Facial and Semantic Communication Cues

Published:2016-10-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge
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Author:

Williamson James R.¹,Godoy Elizabeth¹,Cha Miriam²,Schwarzentruber Adrianne¹,Khorrami Pooya³,Gwon Youngjune¹,Kung Hsiang-Tsung²,Dagli Charlie¹,Quatieri Thomas F.¹

Affiliation:

1. Massachusetts Institute of Technology, Lexington, MA, USA

2. Harvard University, Cambridge, MA, USA

3. University of Illinois, Champaign, IL, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2988257.2988263

Reference36 articles.

1. Cannizzaro M. Harel B. Reilly N. Chappell P. & Snyder P. J. (2004). Voice acoustical measurement of the severity of major depression. Brain and cognition 56(1) 30-35. Cannizzaro M. Harel B. Reilly N. Chappell P. & Snyder P. J. (2004). Voice acoustical measurement of the severity of major depression. Brain and cognition 56 (1) 30-35.

2. Speech and voice parameters of depression: A pilot study

3. De Choudhury M. Gamon M. Counts S. Horvitz E. 2013. Predicting depression via social media Association for the Advancement of Artificial Intelligence. De Choudhury M. Gamon M. Counts S. Horvitz E. 2013. Predicting depression via social media Association for the Advancement of Artificial Intelligence.

4. Vocal indicators of mood change in depression

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