Microphone-Independent Speech Features for Automatic Depression Detection Using Recurrent Neural Network-Reference-Cited by-同舟云学术

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Microphone-Independent Speech Features for Automatic Depression Detection Using Recurrent Neural Network

Published:2022 Issue: Volume: Page:711-724
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Ezzi Mugahed Al-Ezzi Ahmed,Hashim Nik Nur Wahidah Nik,Basri Nadzirah Ahmad

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-8515-6_54

Reference38 articles.

1. World Health Organization (2017) Depression and other common mental disorders: global health estimates. World Health Organization

2. Mukhtar F, Oei TPS (2011) A review on the prevalence of depression in Malaysia. CPSR 7:234–238. https://doi.org/10.2174/157340011797183201

3. Institute for Public Health (2015) National health and morbidity survey 2015 (NHMS 2015). Ministry of Health Malaysia Kuala Lumpur

4. World Health Organization (2019) GHO|Human resources—data by country. In: World Health Organization. https://apps.who.int/gho/data/view.main.MHHRv. Accessed 25 Jan 2021

5. Guan NC, Lee TC, Francis B, Yen TS (2018) Psychiatrists in Malaysia: the ratio and distribution. Malays J Psychiatry 27:4–12

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