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CASIA OpenIR
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Adversarial Multi-Task Learning for Mandarin Prosodic Boundary Prediction With Multi-Modal Embeddings 期刊论文
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2023, 卷号: 31, 页码: 2963-2973
作者:  Yi, Jiangyan;  Tao, Jianhua;  Fu, Ruibo;  Wang, Tao;  Zhang, Chu Yuan;  Wang, Chenglong
收藏  |  浏览/下载：82/0  |  提交时间：2023/11/17
Adversarial training  multi-task learning  prosodic boundaries  speech synthesis  multi-modal embeddings  
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：180/37  |  提交时间：2021/06/16
Emotion recognition in conversations (ERC)  Context-sensitive modeling  Dialogical Emotion Correction Network (DECN)  Interaction modeling  
Integrating Knowledge Into End-to-End Speech Recognition From External Text-Only Data 期刊论文
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2021, 卷号: 29, 页码: 1340-1351
作者:  Bai, Ye;  Yi, Jiangyan;  Tao, Jianhua;  Wen, Zhengqi;  Tian, Zhengkun;  Zhang, Shuai
收藏  |  浏览/下载：200/0  |  提交时间：2021/06/07
End-to-End  language modeling  speech recognition  teacher-student learning  transfer learning  
A time-frequency channel attention and vectorization network for automatic depression level prediction 期刊论文
Neurocomputing, 2021, 期号: 450, 页码: 208-218
作者:  Mingyue Niu;  Bin Liu;  Jianhua Tao;  Qifei Li
Adobe PDF(2001Kb)  |  收藏  |  浏览/下载：210/59  |  提交时间：2021/06/01
Sphere embedding normalization  DenseNet  Transition layer  Time-frequency channel attention block  Time-frequency vectorization block  Depression detection  
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：404/63  |  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  
Gated Recurrent Fusion With Joint Training Framework for Robust End-to-End Speech Recognition 期刊论文
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2021, 期号: 29, 页码: 198-209
作者:  Fan, Cunhang;  Yi, Jiangyan;  Tao, Jianhua;  Tian, Zhengkun;  Liu, Bin;  Wen, Zhengqi
Adobe PDF(2534Kb)  |  收藏  |  浏览/下载：443/59  |  提交时间：2021/03/08
Speech enhancement  Speech recognition  Training  Noise measurement  Logic gates  Acoustic distortion  Task analysis  Gated recurrent fusion  robust end-to-end speech recognition  speech distortion  speech enhancement  speech transformer  
User behavior fusion in dialog management with multi-modal history cues 期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2015, 卷号: 74, 期号: 22, 页码: 10025-10051
作者:  Yang, Minghao;  Tao, Jianhua;  Chao, Linlin;  Li, Hao;  Zhang, Dawei;  Che, Hao;  Gao, Tingli;  Liu, Bin
Adobe PDF(1839Kb)  |  收藏  |  浏览/下载：123/10  |  提交时间：2020/10/27
Dialog Management (Dm)  Multi-modal Data Fusion  Human Computer Interaction (Hci)  Emotion Detection  
End-to-End Post-Filter for Speech Separation With Deep Attention Fusion Features 期刊论文
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2020, 卷号: 28, 期号: 28, 页码: 1303-1314
作者:  Fan, Cunhang;  Tao, Jianhua;  Liu, Bin;  Yi, Jiangyan;  Wen, Zhengqi;  Liu, Xuefei
Adobe PDF(1344Kb)  |  收藏  |  浏览/下载：344/74  |  提交时间：2020/06/22
Feature extraction  Training  Interference  Speech enhancement  Clustering algorithms  Spectrogram  Speech separation  end-to-end post-filter  deep attention fusion features  deep clustering  permutation invariant training  
Language-Adversarial Transfer Learning for Low-Resource Speech Recognition 期刊论文
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2019, 卷号: 27, 期号: 3, 页码: 621-630
作者:  Yi, Jiangyan;  Tao, Jianhua;  Wen, Zhengqi;  Bai, Ye
浏览  |  Adobe PDF(907Kb)  |  收藏  |  浏览/下载：454/96  |  提交时间：2019/07/12
Adversarial training  transfer learning  cross-lingual  low-resource  speech recognition