The article presents Counterfactual Concept Bottleneck Models (CF-CBMs), a new class of models in deep learning. These models are designed to address three fundamental queries: predicting class labels, explaining task…
Continue readingThe study explores the concept of entrainment – the tendency of people to engage in synchronized behavior during interactions. Using Deep Neural Networks (DNN) embeddings like BERT and TRIpLet Loss…
Continue readingThe EMPATHIC project focuses on creating an emotionally expressive virtual coach for seniors, aiming to improve well-being and promote independent aging. This paper discusses the development and performance of the…
Continue readingThe study focuses on improving Speech Emotion Recognition (SER) which is crucial in human-machine interaction. Existing SER methods overlook the information gap between the pre-training speech recognition task and the…
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