Influence of speaker de‐identification in depression detection-Reference-Cited by-同舟云学术

Influence of speaker de‐identification in depression detection

Published:2017-12 Issue:9 Volume:11 Page:1023-1030
ISSN:1751-9675
Container-title:IET Signal Processing
language:en
Short-container-title:IET signal process.

Author:

Lopez‐Otero Paula¹,Magariños Carmen¹,Docio‐Fernandez Laura¹,Rodriguez‐Banga Eduardo¹,Erro Daniel²,Garcia‐Mateo Carmen¹

Affiliation:

1. AtlantTIC Research CenterUniversity of VigoE.E. Telecomunicación, Campus Universitario s/n, 36310 VigoSpain

2. Ikerbasque, Basque Foundation for ScienceUniversity of the Basque CountryAlda, Urquijo s/n, 48013 BilbaoSpain

Funder

Secretaría de Estado de Investigación, Desarrollo e Innovación

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-spr.2016.0731

Reference35 articles.

1. World Health Organization: ‘Depression: a global public health concern’ 2012

2. Current approaches to assessment and treatment of persons with serious mental illness.

3. Review: Suicide and schizophrenia: a systematic review of rates and risk factors

4. Cummins N.: ‘Automatic assessment of depression from speech: Paralinguistic analysis modelling and machine learning’. PhD thesis The University of New South Wales 2016

5. Karam Z.N. Provost E.M. Singh S.et al: ‘Ecologically valid long‐term mood monitoring of individuals with bipolar disorder using speech’.Proc. ICASSP 2014 pp.4858–4862

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