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Parallel reinforcement learning: a framework and case study 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2018, 卷号: 5, 期号: 4, 页码: 827-835
作者:  Teng Liu;  Bin TIan;  Yunfeng Ai;  Li Li;  Dongpu Cao;  Feiyue Wang
Adobe PDF(7005Kb)  |  收藏  |  浏览/下载:69/16  |  提交时间:2023/05/05
基于迁移学习的鲁棒语音识别声学建模方法 期刊论文
清华大学学报, 2018, 卷号: 58, 期号: 1, 页码: 55-60
作者:  易江燕;  陶建华;  刘斌;  温正棋
收藏  |  浏览/下载:13/0  |  提交时间:2020/10/27
鲁棒语音识别  声学模型  神经网络  迁移学习  
CTC Regularized Model Adaptation for Improving LSTM RNN Based Multi-Accent Mandarin Speech Recognition 期刊论文
JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 2018, 卷号: 90, 期号: 7, 页码: 985-997
作者:  Jiangyan Yi;  Zhengqi Wen;  Jianhua Tao;  Hao Ni;  Bin Liu
浏览  |  Adobe PDF(1416Kb)  |  收藏  |  浏览/下载:164/62  |  提交时间:2020/10/22
multi-accent, Mandarin speech recognition,LSTM-RNN-CTC, model adaptation, CTC regularization  
Deep Learning Based Speech Separation via NMF-style Reconstructions 期刊论文
IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, 2018, 卷号: 26, 期号: 11, 页码: 2043-2055
作者:  Shuai Nie;  Shan Liang;  Wenju Liu;  Xueliang Zhang;  Jianhua Tao
浏览  |  Adobe PDF(2922Kb)  |  收藏  |  浏览/下载:226/82  |  提交时间:2020/10/22
Speech separation  deep neural network (DNN)  nonnegative matrix factorization (NMF)  spectro-temporal structures  
Progressive Neural Networks based Features Prediction for the Target Cost in Unit-Selection Speech Synthesizer 会议论文
, 北京, 2018-8
作者:  Fu, Ruibo;  Tao, Jianhua;  Wen, Zhengqi
浏览  |  Adobe PDF(1188Kb)  |  收藏  |  浏览/下载:235/70  |  提交时间:2020/06/27
speech synthesis  progressive neural networks  unit-selection  target cost  
Deep Metric Learning for the Target Cost in Unit-Selection Speech Synthesizer 会议论文
, 印度海得拉巴, 2018-9
作者:  Fu, Ruibo;  Tao, Jianhua;  Zheng, Yibin;  Wen, Zhengqi
浏览  |  Adobe PDF(323Kb)  |  收藏  |  浏览/下载:287/65  |  提交时间:2020/06/27
speech synthesis  unit-selection  target cost  deep metric learning  
Attentive Interactive Convolutional Matching for Community Question Answering in Social Multimedia 会议论文
, Seoul, Republic of Korea, October 22-26, 2018
作者:  Jun Hu;  Shengsheng Qian;  Quan Fang;  Changsheng Xu
浏览  |  Adobe PDF(2921Kb)  |  收藏  |  浏览/下载:281/91  |  提交时间:2019/09/26
Fine-level semantic labeling of large-scale 3d model by active learning 会议论文
, Verona, Italy, 2018-9-5~8
作者:  Zhou Y(周洋);  Shen SH(申抒含);  Hu ZY(胡占义)
浏览  |  Adobe PDF(5390Kb)  |  收藏  |  浏览/下载:350/129  |  提交时间:2019/04/30
Semantic Labeling  Active Learning  Large Scale  
A geometric flow approach for region-based image segmentation-theoretical analysis 期刊论文
ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES, 2018, 卷号: 34, 期号: 1, 页码: 65-76
作者:  Jing, Zhu-cui;  Ye, Juntao;  Xu, Guo-liang
浏览  |  Adobe PDF(248Kb)  |  收藏  |  浏览/下载:264/96  |  提交时间:2018/10/10
L-2-gradient Flow  Bi-cubic B-spline  Direct Method  Image Segmentation  
Anomaly Detection via Minimum Likelihood Generative Adversarial Networks 会议论文
, Bei Jing, 2018
作者:  Wang Chu;  Yan-Ming Zhang;  Cheng-Lin Liu
浏览  |  Adobe PDF(767Kb)  |  收藏  |  浏览/下载:419/183  |  提交时间:2018/08/29