| Test Acc,Solution,Institution,Region,Paper,Lead Author | |
| 0.75162,Mosaic,Florida International University,US,Improving Speech-based Emotion Recognition with Contextual Utterance Analysis and LLMs,Enshi Zhang | |
| 0.75059,Edinburgh,University of Edinburgh,UK,Context and System Fusion in Post-ASR Emotion Recognition with Large Language Models,"Pavel Stepachev and Pinzhen Chen" | |
| 0.64522,SLAM,Academia Sinica,TW,"Exemplar-Based Methods for Mandarin Electrolaryngeal Speech Voice Conversion","Chia-Hua Wu" | |
| 0.58809,TeamBlack,Columbia University,US,"Post-ASR LLM-Based Speech Emotion Recognition: A fight between top LLMs",Sounak Ray | |
| 0.5518,GPT-3.5 Turbo,Baseline,Global,"Large Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, and Emotion Recognition",Official |