A wide evaluation of ChatGPT on affective computing tasks
With the rise of foundation models, a new artificial intelligence paradigm has emerged, by
simply using general purpose foundation models with prompting to solve problems instead …
simply using general purpose foundation models with prompting to solve problems instead …
Affective computing in the era of large language models: A survey from the nlp perspective
Affective Computing (AC), integrating computer science, psychology, and cognitive science
knowledge, aims to enable machines to recognize, interpret, and simulate human emotions …
knowledge, aims to enable machines to recognize, interpret, and simulate human emotions …
Affective computing has changed: The foundation model disruption
B Schuller, A Mallol-Ragolta, AP Almansa… - arxiv preprint arxiv …, 2024 - arxiv.org
The dawn of Foundation Models has on the one hand revolutionised a wide range of
research problems, and, on the other hand, democratised the access and use of AI-based …
research problems, and, on the other hand, democratised the access and use of AI-based …
Revise, Reason, and Recognize: LLM-Based Emotion Recognition via Emotion-Specific Prompts and ASR Error Correction
Annotating and recognizing speech emotion using prompt engineering has recently
emerged with the advancement of Large Language Models (LLMs), yet its efficacy and …
emerged with the advancement of Large Language Models (LLMs), yet its efficacy and …
Overall Prompting Effectiveness for Optimising Human-Machine Interaction in Cyber-Physical Systems
S Wilbers, L Espinosa-Leal… - … of Integrated Design …, 2024 - journals.sagepub.com
This paper presents the Overall Prompting Effectiveness (OPE) framework, designed to
enhance interactions with systems employing generative AI (genAI) through prompt …
enhance interactions with systems employing generative AI (genAI) through prompt …
Improving Speech-based Emotion Recognition with Contextual Utterance Analysis and LLMs
E Zhang, C Poellabauer - arxiv preprint arxiv:2410.20334, 2024 - arxiv.org
Speech Emotion Recognition (SER) focuses on identifying emotional states from spoken
language. The 2024 IEEE SLT-GenSEC Challenge on Post Automatic Speech Recognition …
language. The 2024 IEEE SLT-GenSEC Challenge on Post Automatic Speech Recognition …
Assessing ChatGPT's Performance in Analyzing Students' Sentiments: A Case Study in Course Feedback
AR Sarda - 2024 - kola.opus.hbz-nrw.de
The emergence of large language models (LLMs) like ChatGPT has impacted fields such as
education, transforming natural language processing (NLP) tasks like sentiment analysis …
education, transforming natural language processing (NLP) tasks like sentiment analysis …
Contextual Speech Emotion Recognition with Large Language Models and ASR-Based Transcriptions
E Zhang, C Poellabauer - Audio Imagination: NeurIPS 2024 Workshop AI … - openreview.net
Speech Emotion Recognition (SER) is the task of automatically identifying emotions
expressed in spoken language. With the rise of large language models (LLMs), many …
expressed in spoken language. With the rise of large language models (LLMs), many …
[PDF][PDF] A dual-control dialogue framework for human-robot interaction data collection: integrating human emotional and contextual awareness with conversational AI
Ľ Marcinek, J Beskow, J Gustafson - speech.kth.se
This paper presents a dialogue framework designed to capture human-robot interactions
enriched with human-level situational awareness. The system integrates advanced large …
enriched with human-level situational awareness. The system integrates advanced large …