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CASIA OpenIR

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Speech Emotion Recognition Using Cascaded Attention Network with Joint Loss for Discrimination of Confusions 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 595-604
作者:  Yang Liu;  Haoqin Sun;  Wenbo Guan;  Yuqi Xia;   Zhen Zhao
Adobe PDF(1966Kb)  |  收藏  |  浏览/下载：1/0  |  提交时间：2024/04/23
Speech emotion recognition (SER), 3-dimensional (3D) feature, cascaded attention network (CAN), triplet loss, joint loss  
EEG-based Emotion Recognition Using Multiple Kernel Learning 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 472-484
作者:  Qian Cai;  Guo-Chong Cui;  Hai-Xian Wang
Adobe PDF(1939Kb)  |  收藏  |  浏览/下载：2/2  |  提交时间：2024/04/23
Emotion recognition  electroencephalography (EEG)  multiple kernel learning  machine learning  brain computer interface  
A novel transformer autoencoder for multi-modal emotion recognition with incomplete data 期刊论文
NEURAL NETWORKS, 2024, 卷号: 172, 页码: 12
作者:  Cheng, Cheng;  Liu, Wenzhe;  Fan, Zhaoxin;  Feng, Lin;  Jia, Ziyu
收藏  |  浏览/下载：26/0  |  提交时间：2024/03/27
Multi-modal signals  Emotion recognition  Incomplete data  Transformer autoencoder  Convolutional encoder  
Two Birds With One Stone: Knowledge-Embedded Temporal Convolutional Transformer for Depression Detection and Emotion Recognition 期刊论文
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2023, 卷号: 14, 期号: 4, 页码: 2595-2613
作者:  Zheng, Wenbo;  Yan, Lan;  Wang, Fei-Yue
收藏  |  浏览/下载：17/0  |  提交时间：2024/03/27
Multimodal depression detection  multimodal emotion recognition  transformer  knowledge embedding  joint learning  
\MetaEmotionNet: Spatial-Spectral-Temporal-Based Attention 3-D Dense Network With Meta-Learning for EEG Emotion Recognition 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73, 页码: 13
作者:  Ning, Xiaojun;  Wang, Jing;  Lin, Youfang;  Cai, Xiyang;  Chen, Haobin;  Gou, Haijun;  Li, Xiaoli;  Jia, Ziyu
收藏  |  浏览/下载：5/0  |  提交时间：2024/03/26
Affective computing  attention mechanism  electroencephalogram (EEG)  emotion recognition  meta-learning  
BiTCAN: A emotion recognition network based on saliency in brain 期刊论文
MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2023, 卷号: 20, 期号: 12, 页码: 21537-21562
作者:  An, Yanling;  Hu, Shaohai;  Liu, Shuaiqi;  Li, Bing
收藏  |  浏览/下载：6/0  |  提交时间：2024/03/26
EEG  emotion recognition  spatio-temporal features  Bi-hemispheric discrepancy  spatial attention  attention mechanism  
DA-CapsNet: A multi-branch capsule network based on adversarial domain adaption for cross-subject EEG emotion recognition 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2024, 卷号: 283, 页码: 12
作者:  Liu, Shuaiqi;  Wang, Zeyao;  An, Yanling;  Li, Bing;  Wang, Xinrui;  Zhang, Yudong
收藏  |  浏览/下载：24/0  |  提交时间：2024/02/22
EEG emotion recognition  Capsule network  Adversarial domain adaptation  Transfer learning  
Enhancing Dimensional Emotion Recognition from Speech through Modulation-Filtered Cochleagram and Parallel Attention Recurrent Network 期刊论文
ELECTRONICS, 2023, 卷号: 12, 期号: 22, 页码: 15
作者:  Peng, Zhichao;  Zeng, Hua;  Li, Yongwei;  Du, Yegang;  Dang, Jianwu
收藏  |  浏览/下载：47/0  |  提交时间：2024/02/22
modulation-filtered cochleagram  parallel attention recurrent neural network  dimensional emotion recognition  auditory signal processing  noise-robust  
Music Theory-Inspired Acoustic Representation for Speech Emotion Recognition 期刊论文
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2023, 卷号: 31, 页码: 2534-2547
作者:  Li, Xingfeng;  Shi, Xiaohan;  Hu, Desheng;  Li, Yongwei;  Zhang, Qingchen;  Wang, Zhengxia;  Unoki, Masashi;  Akagi, Masato
收藏  |  浏览/下载：55/0  |  提交时间：2023/11/17
Affective computing  speech emotion recognition  acoustic representation  music theory and speech analysis  
A Multitask Learning Approach Based on Cascaded Attention Network and Self-Adaption Loss for Speech Emotion Recognition 期刊论文
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2023, 卷号: E106A, 期号: 6, 页码: 876-885
作者:  Liu, Yang;  Xia, Yuqi;  Sun, Haoqin;  Meng, Xiaolei;  Bai, Jianxiong;  Guan, Wenbo;  Zhao, Zhen;  LI, Yongwei
收藏  |  浏览/下载：65/0  |  提交时间：2023/11/17
speech emotion recognition  non-personalized features  cascaded attention network  multitask learning  self-adaption loss