Predicting Emotional Valence of People Living with the Human Immunodeficiency Virus Using Daily Voice Clips: A Preliminary Study
To detect depression in people living with the human immunodeficiency virus (PLHIV), this preliminary study developed an artificial intelligence (AI) model aimed at discriminating the emotional valence of PLHIV. Sixteen PLHIV recruited from the Taoyuan General Hospital, Ministry of Health and Welfar...
Main Authors: | Ray F. Lin, Shu-Hsing Cheng, Yung-Ping Liu, Cheng-Pin Chen, Yi-Jyun Wang, Shu-Ying Chang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-09-01
|
Series: | Healthcare |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-9032/9/9/1148 |
Similar Items
-
Recognition of Cross-Language Acoustic Emotional Valence Using Stacked Ensemble Learning
by: Kudakwashe Zvarevashe, et al.
Published: (2020-09-01) -
Multi-Modal Emotion Recognition Using Speech Features and Text-Embedding
by: Sung-Woo Byun, et al.
Published: (2021-08-01) -
Adapting Multiple Distributions for Bridging Emotions from Different Speech Corpora
by: Yuan Zong, et al.
Published: (2022-09-01) -
Robust Multi-Scenario Speech-Based Emotion Recognition System
by: Fangfang Zhu-Zhou, et al.
Published: (2022-03-01) -
Emotional Speech Recognition Based on the Committee of Classifiers
by: Dorota Kamińska
Published: (2019-09-01)