19 citations · 23 across the 4 of their papers we have counts for
3 papers · 1 filter
Speech and the n-Back task as a lens into depression. How combining both may allow us to isolate different core symptoms of depression
Salvatore Fara, Stefano Goria, Emilia Molimpakis +1
Embedded in any speech signal is a rich combination of cognitive, neuromuscular and physiological information. This richness makes speech a powerful signal in relation to a range o…
Automatic Detection of Expressed Emotion from Five-Minute Speech Samples: Challenges and Opportunities
Bahman Mirheidari, André Bittar, Nicholas Cummins +3
We present a novel feasibility study on the automatic recognition of Expressed Emotion (EE), a family environment concept based on caregivers speaking freely about their relative/f…
auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks
Michael Freitag, Shahin Amiriparian, Sergey Pugachevskiy +2
auDeep is a Python toolkit for deep unsupervised representation learning from acoustic data. It is based on a recurrent sequence to sequence autoencoder approach which can learn re…