6 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.SD2026
Semi-Supervised Speech Confidence Detection using Pseudo-Labelling and Whisper Embeddings
Adam Wynn, Jingyun Wang, Xiangyu Tan
Understanding speaker confidence is crucial in educational settings, as it can enhance personalised feedback and improve learning outcomes. This study introduces a novel framework…
cs.SD2026
A Semi-Supervised Framework for Speech Confidence Detection using Whisper
Adam Wynn, Jingyun Wang
Automatic detection of speaker confidence is critical for adaptive computing but remains constrained by limited labelled data and the subjectivity of paralinguistic annotations. Th…
cs.PL2026★ 6 cited
Evaluating adaptive and generative AI-based feedback and recommendations in a knowledge-graph-integrated programming learning system
Lalita Na Nongkhai, Jingyun Wang, Adam Wynn +1
This paper introduces the design and development of a framework that integrates a large language model (LLM) with a retrieval-augmented generation (RAG) approach leveraging both a…