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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...

Abstract: Deep learning models are rapidly gaining interest for real-world applications in behavioral health. An important gap in current...

Abstract: Depression is a global health concern with a critical need for increased patient screening. Speech technology offers advantages...

Abstract: Digital screening and monitoring applications can aid providers in the management of behavioral health conditions. We explore...

Abstract: Behavioral health conditions such as depression and anxiety are a global concern, and there is growing interest in employing...

Abstract: Machine learning models for speech-based depression classification offer promise for health care applications. Despite growing...