首页|Study Results from School of Energy Engineering Broaden Understanding of Artific ial Intelligence (Bi-Modal Bi-Task Emotion Recognition Based on Transformer Arch itecture)
Study Results from School of Energy Engineering Broaden Understanding of Artific ial Intelligence (Bi-Modal Bi-Task Emotion Recognition Based on Transformer Arch itecture)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsoriginating from the School of Ene rgy Engineering by NewsRx correspondents, research stated, “ABSTRACTInthe field of emotion recognition, analyzing emotions from speech alone (single-modal spee chemotion recognition) has several limitations, including limited data volume a nd low accuracy. Additionally,single-task models lack generalization and fail t o fully utilize relevant information.”
School of Energy EngineeringArtificial IntelligenceMachine Learning
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