2023
Speech Emotion Recognition Based on Low-Level Auto-Extracted Time-Frequency Features
ICASSP 2023accepted
Deep-learning based methods that aim to extract effective high-level features have steadily improved the performance on the speech emotion recognition. However, low-level features that contain important emotion-related information have not gained much attention. In this paper, we propose a novel low…