Depression Detection on De-identified Speech

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Topic: 
Depression Detection on De-identified Speech
Period: 
2017-02-13
2017-02-24
Applicant: 
Dr Paula López Otero
Applicant Institution: 
Multimedia Technology Group (GTM) - University of Vigo - Spain
Host Person: 
Dr Alberto Abad
Host Institution: 
Spoken Language Systems Laboratory - INESC-ID - Lisbon (Portugal)
Summary: 

The purpose of this STSM consisted in learning techniques for depression detection based on natural language processing (NLP) approaches for their application in de-identified speech. Global vectors (GloVe) were used for speaker turn representation, and different subspace projection techniques of the resulting vectors were assessed. Experimental validation suggested that the proposed technique is valid for depression detection when using either manual or automatic transcriptions. The work carried out during this STSM will be extended in an ongoing collaboration between the applicant and the host institution in order to accomplish the goal of applying the developed technique to de-identified speech.

Grant Period: 
4th Grant Period
Status: 
Completed