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Hierarchical Attention Transfer Networks For Depression Assessment From Speech

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IEEE ICASSP 2020 Virtual Conference May 2020

A growing area of mental health research is the search for speech-based objective markers for conditions such as depression. However, when combined with machine learning, this search can be challenging due to a limited amount of annotated training data. I

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Hierarchical Attention Transfer Networks For Depression Assessment From Speech

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A growing area of mental health research is the search for speech-based objective markers for conditions such as depression. However, when combined with machine learning, this search can be challenging due to a limited amount of annotated training data. I