Tech Meridian ← ENTITY INDEX
PROMY MERIDIAN RU

COMPANY · ENTITY #3666

MELD

Related event timeline, sources and context from the news index.

EVENT TIMELINE

2

RESEARCH · 1 SOURCE · arXiv cs.AI

Incongruence-aware evaluation finds audio–text mismatch harms speech emotion recognition in audio LLMs

The arXiv preprint introduces a continuous, threshold-free incongruence score (based on valence–arousal–dominance and a two-component Gaussian mixture, validated against human judgment) to quantify audio–text disagreement and evaluates three audio-capable LLMs on eNTERFACE'05, MELD and CMU-MOSEI. The authors report that greater incongruence increases error odds whenever audio is present across all corpora, that standard supervised classifiers behave differently, and that code, data tables and prompts are released.

6.0

RESEARCH · 1 SOURCE · arXiv cs.AI

Paper proposes a confidence-gated hybrid (ensemble + LLM) for cost-effective emotion recognition in conversation

arXiv:2609.17977v1 compares a low-cost stacked ensemble, off-the-shelf LLM prompting (including GPT-4o-mini), and a confidence-gated hybrid that escalates low-confidence ensemble predictions to an LLM for dialogue-context emotion recognition. Across IEMOCAP, MELD, and CMU-MOSI the hybrid Pareto-dominates both pure systems (improving weighted F1 and cutting LLM spend by routing most turns to the near-zero-cost ensemble), with reported costs of roughly $10–85 vs $99–170 per million utterances for hybrid vs LLM-only pipelines.

7.0