[논문리뷰] Revisiting Modeling and Evaluation Approaches in Speech Emotion Recognition: Considering Subjectivity of Annotators and Ambiguity of EmotionsarXiv에 게시된 'Revisiting Modeling and Evaluation Approaches in Speech Emotion Recognition: Considering Subjectivity of Annotators and Ambiguity of Emotions' 논문에 대한 자세한 리뷰입니다.#Review#Speech Emotion Recognition#Annotator Subjectivity#Emotion Ambiguity#Soft Labels#Multi-label Classification#Evaluation Metrics#Loss Functions2025년 10월 8일댓글 수 로딩 중
[논문리뷰] MI-Fuse: Label Fusion for Unsupervised Domain Adaptation with Closed-Source Large-Audio Language ModelHung-yi Lee이 arXiv에 게시한 'MI-Fuse: Label Fusion for Unsupervised Domain Adaptation with Closed-Source Large-Audio Language Model' 논문에 대한 자세한 리뷰입니다.#Review#Speech Emotion Recognition#Source-Free Unsupervised Domain Adaptation#Large Audio-Language Models#Label Fusion#Mutual Information#API-Only Models#Domain Mismatch2025년 9월 26일댓글 수 로딩 중