Generative Listener EEG for Speech Emotion Recognition Using Generative Adversarial Networks With Compressed Sensing

• Published in: IEEE journal of biomedical and health informatics Vol. 28; no. 4; pp. 2025 - 2036
• Main Authors: Chang, Jiang, Zhang, Zhixin, Wang, Zelin, Li, Jiacheng, Meng, Linsheng, Lin, Pan
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.04.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Brain modeling; Compressed sensing; Convolutional neural networks; cross-subject; EEG; EEG emotion recognition; EEG generation; Electroencephalography; Emotion recognition; Emotions; Event-related potentials; Feature extraction; Generative adversarial networks; Semantics; Speech; Speech recognition

Currently, emotional features in speech emotion recognition are typically extracted from the speeches, However, recognition accuracy can be influenced by factors such as semantics, language, and cross-speech datasets. Achieving consistent emotional judgment with human listeners is a key challenge fo...