A multimodal ensemble combining Whisper audio features, RoBERTa text, quantized F0 and spectral features reaches 39.79% Macro F1 on the INTERSPEECH 2025 naturalistic speech emotion recognition test set.
We also thank the Artificial Intelligence Lab at Re- cod.ai, the Institute of Computing, University of Campinas
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Enhancing Speech Emotion Recognition with Graph-Based Multimodal Fusion and Prosodic Features for the Speech Emotion Recognition in Naturalistic Conditions Challenge at Interspeech 2025
A multimodal ensemble combining Whisper audio features, RoBERTa text, quantized F0 and spectral features reaches 39.79% Macro F1 on the INTERSPEECH 2025 naturalistic speech emotion recognition test set.