Knowledge Commons of Institute of Automation，CAS
| Cross-domain cooperative deep stacking network for speech separation | |
Wei Jiang1; Shan Liang1 ; Like Dong2; Hong Yang2; Wenju Liu1; Yunji Wang3
| |
| 2015 | |
| 会议名称 | IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
| 会议录名称 | EI |
| 会议日期 | April 19-24, 2015 |
| 会议地点 | Brisbane, Australia |
| 摘要 | Nowadays supervised speech separation has drawn much attention and shown great promise in the meantime. While there has been a lot of success, existing algorithms perform the task only in one preselected representative domain. In this study, we propose to perform the task in two different time-frequency domains simultaneously and cooperatively, which can model the implicit correlations between different representations of the same speech separation task. Besides, many time-frequency (T-F) units are dominated by noise in low signal-to-noise ratio (SNR) conditions, so more robust features are obtained by stacking features of original mixtures with that extracted from separated speech of each deep stacking network (DSN) block, which can be regarded as a denoisedversionoftheoriginalfeatures. Quantitativeexperiments show that the proposed cross-domain cooperative deep stacking network (DSN-CDC) has enhanced modeling capability as well as generalization ability, which outperforms a previous algorithm based on standard deep neural networks. |
| 关键词 | Speech Separation Cross-domain Cooperative Structure Deep Stacking Network Deep Neural Network |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/12361 |
| 专题 | 多模态人工智能系统全国重点实验室_机器人视觉 |
| 通讯作者 | Wenju Liu |
| 作者单位 | 1.NLPR, Institute of Automation, Chinese Academy of Sciences 2.Electric Power Research Institute of ShanXi Electric Power Company, China State Grid Corp 3.Electrical and Computer Engineering Department, The University of Texas at San Antonio, USA |
| 第一作者单位 | 模式识别国家重点实验室 |
| 通讯作者单位 | 模式识别国家重点实验室 |
| 推荐引用方式 GB/T 7714 | Wei Jiang,Shan Liang,Like Dong,et al. Cross-domain cooperative deep stacking network for speech separation[C],2015. |
| 条目包含的文件 | 下载所有文件 | |||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| WeiJiang2015.pdf（118KB） | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 | ||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
修改评论