CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共11条,第1-10条 帮助

限定条件                        
已选(0)清除 条数/页:   排序方式:
WavDepressionNet: Automatic Depression Level Prediction via Raw Speech Signals 期刊论文
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2024, 卷号: 15, 期号: 1, 页码: 285-296
作者:  Niu, Mingyue;  Tao, Jianhua;  Li, Yongwei;  Qin, Yong;  Li, Ya
收藏  |  浏览/下载:4/0  |  提交时间:2024/07/03
Assessment block  depression level prediction  representation block  speech signals  WavDepressionNet  
MULTIMODAL CROSS- AND SELF-ATTENTION NETWORK FOR SPEECH EMOTION RECOGNITION 会议论文
, Toronto, Canada, 6-12 June 2021
作者:  Licai Sun;  Bin Liu;  Jianhua Tao;  Zheng Lian
Adobe PDF(1078Kb)  |  收藏  |  浏览/下载:34/8  |  提交时间:2024/06/03
Efficient multimodal transformer with dual-level feature restoration for robust multimodal sentiment analysis 期刊论文
IEEE Transactions on Affective Computing, 2023, 卷号: 15, 期号: 1, 页码: 1-17
作者:  Licai Sun;  Zheng Lian;  Bin Liu;  Jianhua Tao
Adobe PDF(2371Kb)  |  收藏  |  浏览/下载:60/18  |  提交时间:2024/05/31
Transformers  Robustness  Semantics  Data models  Computational modeling  Videos  Training  Multimodal sentiment analysis  unaligned and incomplete data  efficient multimodal Transformer  dual-level feature restoration  robustness  
Hierarchical graph attention network for temporal knowledge graph reasoning 期刊论文
NEUROCOMPUTING, 2023, 卷号: 550, 页码: 126390
作者:  Shao, Pengpeng;  He, Jiayi;  Li, Guanjun;  Zhang, Dawei;  Tao, Jianhua
Adobe PDF(589Kb)  |  收藏  |  浏览/下载:182/17  |  提交时间:2023/11/17
Temporal knowledge graphs  Graph attention network  Reasoning  
SMIN: Semi-Supervised Multi-Modal Interaction Network for Conversational Emotion Recognition 期刊论文
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2023, 卷号: 14, 期号: 3, 页码: 2415-2429
作者:  Lian, Zheng;  Liu, Bin;  Tao, Jianhua
Adobe PDF(2103Kb)  |  收藏  |  浏览/下载:156/11  |  提交时间:2023/11/15
Emotion recognition  Feature extraction  Training  Acoustics  Semisupervised learning  Benchmark testing  Hidden Markov models  Semi-supervised multi-modal interaction network (SMIN)  conversational emotion recognition  semi-supervised learning  intra-modal interaction  cross-modal interaction  
Fast End-to-End Speech Recognition via Non-Autoregressive Models and Cross-Modal Knowledge Transferring from BERT 期刊论文
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2021, 期号: 29, 页码: 1897 - 1911
作者:  Ye Bai;  Jiangyan Yi;  Jianhua Tao;  Zhengkun Tian;  Zhengqi Wen;  Shuai Zhang
Adobe PDF(1163Kb)  |  收藏  |  浏览/下载:211/66  |  提交时间:2021/06/25
端到端语音识别、迁移学习、知识蒸馏、老师-学生学习、BERT、非自回归语音识别  
Conversational Emotion Analysis via Attention Mechanisms 会议论文
, Graz, Austria, 15-19 September, 2019
作者:  Zheng Lian;  Jianhua Tao;  Bin Liu;  Jian Huang
Adobe PDF(317Kb)  |  收藏  |  浏览/下载:182/61  |  提交时间:2021/06/16
DECN: Dialogical Emotion Correction Network for Conversational Emotion Recognition 期刊论文
Neurocomputing, 2021, 期号: 0, 页码: 0
作者:  Zheng Lian;  Bin Liu;  Jianhua Tao
Adobe PDF(2238Kb)  |  收藏  |  浏览/下载:178/36  |  提交时间:2021/06/16
Emotion recognition in conversations (ERC)  Context-sensitive modeling  Dialogical Emotion Correction Network (DECN)  Interaction modeling  
Multimodal Spatiotemporal Representation for Automatic Depression Level Detection 期刊论文
IEEE Transactions on Affective Computing, 2020, 期号: 0, 页码: 0
作者:  Mingyue Niu;  Jianhua Tao;  Bin Liu;  Jian Huang;  Zheng Lian
Adobe PDF(2831Kb)  |  收藏  |  浏览/下载:230/59  |  提交时间:2021/06/01
Multimodal depression detection  Spatio-Temporal Attention  Audio/Video Segment-Level Feature  Eigen Evolution Pooling  Audio/Video Level Feature  Multimodal Attention Feature Fusion  
CTNet: Conversational Transformer Network for Emotion Recognition 期刊论文
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2021, 期号: 29, 页码: 985-1000
作者:  Lian, Zheng;  Liu, Bin;  Tao, Jianhua
Adobe PDF(2230Kb)  |  收藏  |  浏览/下载:398/63  |  提交时间:2021/05/06
Emotion recognition  Context modeling  Feature extraction  Fuses  Speech processing  Data models  Bidirectional control  Context-sensitive modeling  conversational transformer network (CTNet)  conversational emotion recognition  multimodal fusion  speaker-sensitive modeling