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...
In the News
- Jul 20
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 8
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 12
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...