CASIA OpenIR

浏览/检索结果: 共4条,第1-4条 帮助

已选(0)清除 条数/页:   排序方式:
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:221/0  |  提交时间:2018/11/26
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:160/0  |  提交时间:2018/11/26
Combining prosodic and spectral features for Mandarin intonation recognition 会议论文
Proceedings of the 9th International Symposium on Chinese Spoken Language Processing, ISCSLP 2014, Singapore, 2014
作者:  Wei Bao;  Ya Li;  Mingliang Gu;  Jianhua Tao;  Linlin Chao;  Shanfeng Liu
浏览  |  Adobe PDF(157Kb)  |  收藏  |  浏览/下载:283/104  |  提交时间:2018/11/26
基于数据驱动的混合语音合成方法研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2015
作者:  刘善峰
Adobe PDF(4154Kb)  |  收藏  |  浏览/下载:422/0  |  提交时间:2015/09/02
语音合成  隐马尔可夫模型  数据驱动  混合语音合成系统  深度学习  Speech Synthesis  Hidden Markov Models  Data-driven  Hybrid Unit Selection System  Deep Learning