Dynamic and static models for real-time facial emotion recognition
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Updated
Aug 2, 2024 - Jupyter Notebook
Dynamic and static models for real-time facial emotion recognition
跨語料庫語音情緒辨識:以控制變因比較特徵表徵與模型架構,並採說話者獨立(StratifiedGroupKFold)與 Leave-One-Corpus-Out 雙重驗證���
Sentence-level formality, informativeness, and implicature classifiers with cross-corpus generalization analysis (Pavlick-Tetreault & SQUINKY! corpora)
Cross-corpus evaluation of spectral–acoustic feature fusion for pathological voice discrimination using the MEEI and USP voice pathology corpora.
Code for evaluating the transportability of pretrained speech representations for depression assessment across English and Mandarin cohorts.
Cross-corpus and noise-robust speech emotion recognition using a lightweight 1D CNN across RAVDESS, CREMA-D, TESS, and SAVEE.
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