Multi-Level Attention-Based Categorical Emotion Recognition Using Modulation-Filtered Cochleagram

Multi-Level Attention-Based Categorical Emotion Recognition Using Modulation-Filtered Cochleagram

Speech emotion recognition is a critical component for achieving natural human–robot interaction. The modulation-filtered cochleagram is a feature based on auditory modulation perception, which contains multi-dimensional spectral–temporal modulation representation. In this study, we propose an emoti...

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Bibliographic Details
Main Authors:	Zhichao Peng, Wenhua He, Yongwei Li, Yegang Du, Jianwu Dang
Format:	Article
Language:	English
Published:	MDPI AG 2023-06-01
Series:	Applied Sciences
Subjects:	categorical emotion recognition auditory signal processing modulation-filtered cochleagram multi-level attention
Online Access:	https://www.mdpi.com/2076-3417/13/11/6749

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