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.
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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.