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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 内容类型：会议     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Expressive Speech Driven Talking Avatar Synthesis with DBLSTM using Limited Amount of Emotional Bimodal Data (CPCI-S收录) 会议 作者:  Li, Xu[1,2];  Wu, Zhiyong[1,2,3];  Meng, Helen[1,3];  Jia, Jia[1,2];  Lou, Xiaoyan[4] 收藏  |  浏览/下载：2/0  |  提交时间：2019/04/11 Expressive talking avatar  emotion  lip movement  facial expression  deep bidirectional long short-term memory (DBLSTM)   Phoneme Embedding and its Application to Speech Driven Talking Avatar Synthesis (CPCI-S收录) 会议 作者:  Li, Xu[1,2];  Wu, Zhiyong[1,2,3];  Meng, Helen[1,3];  Jia, Jia[1,2];  Lou, Xiaoyan[4] 收藏  |  浏览/下载：2/0  |  提交时间：2019/04/11 Phoneme embedding  talking avatar synthesis  bidirectional long short-term memory (BLSTM)   Convolutional multi-directional recurrent network for offline handwritten text recognition (EI收录) 会议 Shenzhen, China, 作者:  Sun, Zenghui[1];  Jin, Lianwen[1];  Xie, Zecheng[1];  Feng, Ziyong[1];  Zhang, Shuye[1] 收藏  |  浏览/下载：2/0  |  提交时间：2019/04/11 Abstracting  Convolution  Long short  term memory  Network architecture  Recurrent neural networks   LEARNING CROSS-LINGUAL INFORMATION WITH MULTILINGUAL BLSTM FOR SPEECH SYNTHESIS OF LOW-RESOURCE LANGUAGES (CPCI-S收录) 会议 作者:  Yu, Quanjie[1,2];  Liu, Peng[1,2];  Wu, Zhiyong[1,2,3];  Kang, Shiyin[3];  Meng, Helen[1,3] 收藏  |  浏览/下载：9/0  |  提交时间：2019/04/11 Speech synthesis  bidirectional long short-term memory (BLSTM)  low-resource  multilingual  cross-lingual   Understanding Speaking Styles of Internet Speech Data with LSTM and Low-resource Training (CPCI-S收录) 会议 作者:  Wu, Xixin[1];  Wu, Zhiyong[1];  Ning, Yishuang[1];  Jia, Jia[1];  Cai, Lianhong[1] 收藏  |  浏览/下载：2/0  |  提交时间：2019/04/11 speaking style  long short-term memory  recurrent neural network  retraining   A DEEP RECURRENT APPROACH FOR ACOUSTIC-TO-ARTICULATORY INVERSION (CPCI-S收录) 会议 作者:  Liu, Peng[1,2];  Yu, Quanjie[1,2];  Wu, Zhiyong[1,2,3];  Kang, Shiyin[3];  Meng, Helen[1,3] 收藏  |  浏览/下载：8/0  |  提交时间：2019/04/11 long short term memory (LSTM)  recurrent nueral network (RNN)  mixture density network (MDN)  layer-wise pre-training