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Audio LLM–EEG Similarity Alignment on Naturalistic Speech Dataset OpenNeuro 2023 (sentence-averaged)

0.2446Pearson Correlation (RSA)Audio-Flamingo-3
0.1361280.1642890.192450.220611Jan 23, 2026

Evaluation results

MethodLinks
Audio-Flamingo-32026.010.24460.13970.09230.34270.22340.01690.22340.3015
GLM-4-Voiceparameters=9B2026.010.23620.17730.11920.33140.2160.01510.2160.2881
SpeechGPT-2.0-previewparameters=7B2026.010.22430.15640.11020.39240.22870.01710.22870.3239
Granite-Speech-3.3parameters=8B2026.010.21850.16170.11550.4610.26370.01850.26370.363
Qwen2-Audioparameters=7B2026.010.20590.16150.1080.35610.2080.01430.2080.2863
Qwen2-Audioparameters=7B, variant=Instruct2026.010.20530.14670.11240.36490.21480.01470.21480.2982
MiniCPM-oversion=2.62026.010.20450.14840.10530.35630.21450.01490.21450.2921
Baichuan-Audiovariant=Instruct2026.010.16690.11370.07740.50320.29150.02080.29150.4098
Llama-3.1-Omniparameters=8B2026.010.16570.12170.07870.55620.34010.02610.34010.4595
Baichuan-Audiovariant=Base2026.010.15820.11930.09020.4610.26160.01930.26160.3717
Ultravox-v0.5backbone=LLaMA-3.1-8B2026.010.1480.08150.05870.56960.34590.02660.34590.4664
Ultravox-v0.5backbone=LLaMA-3.2-1B2026.010.14030.08570.0580.56820.34380.0260.34380.4633