1 citations · 1 across the 4 of their papers we have counts for
4 papers
SCoPE: Shift-Aware Speaker-Conditioned Priors for Emotion Recognition in Conversations
Burak Can Kaplan, Stefan Wermter
In conversations, human emotions are transient; however, they tend to persist across multiple utterances. For example, we rarely switch instantly between contrasting emotions such…
Large Language Model Data Generation for Enhanced Intent Recognition in German Speech
Theresa Pekarek Rosin, Burak Can Kaplan, Stefan Wermter
Intent recognition (IR) for speech commands is essential for artificial intelligence (AI) assistant systems; however, most existing approaches are limited to short commands and are…
Can Large Language Models Generate Effective Datasets for Emotion Recognition in Conversations?
Burak Can Kaplan, Hugo Cesar De Castro Carneiro, Stefan Wermter
Emotion recognition in conversations (ERC) focuses on identifying emotion shifts within interactions, representing a significant step toward advancing machine intelligence. However…
Robots Can Multitask Too: Integrating a Memory Architecture and LLMs for Enhanced Cross-Task Robot Action Generation
Hassan Ali, Philipp Allgeuer, Carlo Mazzola +4
Large Language Models (LLMs) have been recently used in robot applications for grounding LLM common-sense reasoning with the robot's perception and physical abilities. In humanoid…