Newer, larger deep learning models show no consistent gains over older architectures for speech emotion recognition across two naturalistic benchmarks, with results sensitive to model selection and hyperparameters.
We computed the centred kernel alignment (CKA) [53], a measure of similarity for hidden representations using EmoDB as a probing dataset due to its smaller size
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Charting 15 years of progress in deep learning for speech emotion recognition: A replication study
Newer, larger deep learning models show no consistent gains over older architectures for speech emotion recognition across two naturalistic benchmarks, with results sensitive to model selection and hyperparameters.