Proposes an LLM agentic workflow with retrieval-based in-context learning to generate synthetic ground truth for audio emotion classification in multi-user VR environments.
Few-shot personalizationviain-contextlearningforspeechemotionrecognitionbasedonspeech-languagemodel,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.SD 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
LLM-Based Synthetic Ground Truth Generation for Audio-Based Emotion Classification via In-Context Learning
Proposes an LLM agentic workflow with retrieval-based in-context learning to generate synthetic ground truth for audio emotion classification in multi-user VR environments.