A local pipeline integrating diarization, ASR, SER and adversarial LLM reasoning for privacy-preserving conversational analysis, reporting 48.8% SER accuracy on RAVDESS four-class subset with honest cross-corpus limitations.
Neural Computing and Applications34(20), 17581–17599 (2022)
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EmotionAI: A Privacy-Preserving Computational Intelligence Pipeline for Speech-Emotion-Grounded Conversational Analysis
A local pipeline integrating diarization, ASR, SER and adversarial LLM reasoning for privacy-preserving conversational analysis, reporting 48.8% SER accuracy on RAVDESS four-class subset with honest cross-corpus limitations.