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Found 12 papers, 2 papers with code
EMO-SUPERB: An In-depth Look at Speech Emotion Recognition
Speech emotion recognition (SER) is a pivotal technology for human-computer interaction systems.
Behavior Score-Embedded Brain Encoder Network for Improved Classification of Alzheimer Disease Using Resting State fMRI
The ability to accurately detect onset of dementia is important in the treatment of the disease.
An Attribute-Aligned Strategy for Learning Speech Representation
Specifically, we propose a layered-representation variational autoencoder (LR-VAE), which factorizes speech representation into attribute-sensitive nodes, to derive an identity-free representation for speech emotion recognition (SER), and an emotionless representation for speaker verification (SV).
An Interaction-aware Attention Network for Speech Emotion Recognition in Spoken Dialogs
In this work, we propose an interaction-aware attention network (IAAN) that incorporate contextual information in the learned vocal representation through a novel attention mechanism.
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