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TONGUE SHAPE CONVERSION WITH NON-PARALLEL TRAINING DATA 会议论文
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Florence, Italy, 4-9 May 2014
作者:  Li, Hao;  Yang, Minghao;  Tao, Jianhua
收藏  |  浏览/下载：74/0  |  提交时间：2020/10/27
Survey on discriminative feature selection for speech emotion recognition 会议论文
Proceedings of the 9th International Symposium on Chinese Spoken Language Processing, ISCSLP 2014, 新加坡, 2014
作者:  Xin Xu;  Ya Li;  Xiaoying Xu;  Zhengqi Wen;  Hao Che;  Shanfeng Liu;  Jianhua Tao
收藏  |  浏览/下载：159/0  |  提交时间：2018/11/26
Final lowering effect in questions and statements of Chinese mandarin based on a large-scale natural dialogue corpus analysis 专著章节/文集论文
出自: Proceedings of the International Conference on Speech Prosody, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland, Ireland:IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, IEEE, 2014
作者:  Wei Lai;  Ya Li;  Hao Che;  Shanfeng Liu;  Jianhua Tao;  Xiaoying Xu
收藏  |  浏览/下载：219/0  |  提交时间：2018/11/26
Multi-scale Temporal Modeling for Dimensional Emotion Recognition in Video 会议论文
Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge, Orlando, Florida, 2014-11
作者:  Linlin Chao;  Jianhua Tao;  Minghao Yang;  Ya Li
收藏  |  浏览/下载：25/0  |  提交时间：2020/10/27
Affective Computing  
Improving mandarin prosodic boundary prediction with rich syntactic features 会议论文
Annual Conference of the International Speech Communication Association (INTERSPEECH), Singapore, 2014
作者:  Che, Hao;  Tao, Jianhua;  Li, Ya
收藏  |  浏览/下载：53/0  |  提交时间：2020/10/27
面向X光发音视频的舌位轮廓自动提取方法 期刊论文
计算机辅助设计与图形学学报, 2014, 卷号: 26, 期号: 4, 页码: 528-536
作者:  张大伟;  杨明浩;  陶建华;  张大伟、杨明浩、陶建华
收藏  |  浏览/下载：21/0  |  提交时间：2020/10/27
X光视频  舌位轮廓提取  错误点排除  最大似然边缘估计  
Improving generation performance of speech emotion recognition by denoising autoencoders 会议论文
The 9th International Symposium on Chinese Spoken Language Processing, Singapore, 2014-9
作者:  Linlin Chao;  Jianhua Tao;  Minghao Yang;  Ya Li
收藏  |  浏览/下载：22/0  |  提交时间：2020/10/27
Speech Emotion Recognition