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  • Published Subscription Original Research

    Reliability-Aware Multimodal Sentiment Analysis Using Speech, Visual and Textual Signals: A CMU-MOSEI Benchmark Re-analysis

    Abstract: Multimodal sentiment analysis integrates linguistic, acoustic, and visual cues, but reported gains often assume that every modality is present and equally reliable. This study develops a reliability-aware multimodal sentiment-analysis framework and performs a quantitative re-analysis of verified CMU- MOSEI benchmark results to determine how modality availability changes predictive performance. The conceptual architecture combines text, acoustic, and visual encoders with quality-conditioned gated fusion. For the quantitative component, complete- and missing-modality results …

    Published in Journal of Electronic Design Technology · Vol. 17, Issue 3, 2026 Read article

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