Toward Corpus Size Requirements for Training and Evaluating Depression Risk Models Using Spoken Lang
Tomek Rutowski, Amir Harati, Elizabeth Shriberg, Yang Lu, Piotr Chlebek, Ricardo Oliveira Abstract: Mental health risk prediction is a...
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In the News
Jul 20, 2022
Generalization of Deep Acoustic and NLP Models for Large-Scale Depression Screening (Chapter 3)
From the book: Biomedical Sensing and Analysis published by Springer Abstract: Depression is a costly and underdiagnosed global health...
Apr 7, 2022
Feasibility of a Machine-Learning Based Smartphone Application in Detecting Depression and Anxiety i
Abstract: Depression and anxiety create a large health burden and increase the risk of premature mortality. Mental health screening is...
Feb 11, 2022
Evaluating the Feasibility and Acceptability of an Artificial-Intelligence-Enabled and Speech-Based
Abstract: Adolescent and young adult (AYA) patients diagnosed with cancer are at a higher risk of psychological distress, which requires...
Jun 6, 2021
Speech-Based Depression Prediction using Encoder-Weight-Only Transfer Learning and a Large Corpus
Abstract: Speech-based algorithms have gained interest for the management of behavioral health conditions such as depression. We explore...
Jan 19, 2021
Cross-Demographic Portability of Deep NLP-Based Depression Models
Abstract: Deep learning models are rapidly gaining interest for real-world applications in behavioral health. An important gap in current...
Dec 5, 2020
Robust Speech and Natural Language Processing Models for Depression Screening
Abstract: Depression is a global health concern with a critical need for increased patient screening. Speech technology offers advantages...
Nov 5, 2020
Depression and Anxiety Prediction Using Deep Language Models and Transfer Learning
Abstract: Digital screening and monitoring applications can aid providers in the management of behavioral health conditions. We explore...
Sep 10, 2020
Comparing Speech Recognition Services for HCI Applications in Behavioral Health
Abstract: Behavioral health conditions such as depression and anxiety are a global concern, and there is growing interest in employing...
Sep 15, 2019
Optimizing Speech-Input Length for Speaker-Independent Depression Classification
Abstract: Machine learning models for speech-based depression classification offer promise for health care applications. Despite growing...
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