Introduces a percentile-based evaluation protocol using matched human reference regimes from a large dyadic conversation dataset to assess prosody and rhythm in spoken dialogue systems.
Emotional speech processing: Disentangling the effects of prosody and semantic cues,
3 Pith papers cite this work. Polarity classification is still indexing.
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Tensor network model achieves 77.98% accuracy in modeling order-dependent emotional memory in children.
In a decision-making task, people felt less self-blame after following an incorrect suggestion from a machine than from a human expert.
citing papers explorer
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Reference-Based Prosody and Rhythm Evaluation for Spoken Dialogue Systems
Introduces a percentile-based evaluation protocol using matched human reference regimes from a large dyadic conversation dataset to assess prosody and rhythm in spoken dialogue systems.
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Modelling Emotional Memory in Children with Tensor Networks
Tensor network model achieves 77.98% accuracy in modeling order-dependent emotional memory in children.
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Following wrong suggestions: self-blame in human and computer scenarios
In a decision-making task, people felt less self-blame after following an incorrect suggestion from a machine than from a human expert.