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pro vyhledávání: '"Derington, Anna"'
Autor:
Kounadis-Bastian, Dionyssos, Schrüfer, Oliver, Derington, Anna, Wierstorf, Hagen, Eyben, Florian, Burkhardt, Felix, Schuller, Björn
Speech Emotion Recognition (SER) needs high computational resources to overcome the challenge of substantial annotator disagreement. Today SER is shifting towards dimensional annotations of arousal, dominance, and valence (A/D/V). Universal metrics a
Externí odkaz:
http://arxiv.org/abs/2408.13920
Autor:
Derington, Anna, Wierstorf, Hagen, Özkil, Ali, Eyben, Florian, Burkhardt, Felix, Schuller, Björn W.
Machine learning models for speech emotion recognition (SER) can be trained for different tasks and are usually evaluated on the basis of a few available datasets per task. Tasks could include arousal, valence, dominance, emotional categories, or ton
Externí odkaz:
http://arxiv.org/abs/2312.06270