Continuous speech recognition based on ICA and geometrical learning
文献类型：期刊论文
| 作者 | Feng H (Feng Hao) ; Cao WM (Cao Wenming) ; Wang SJ (Wang Shoujue) |
| 刊名 | advances in machine learning and cybernetics
 |
| 出版日期 | 2006 |
| 卷号 | 3930期号:0页码:974-983 |
| ISSN号 | 0302-9743 |
| 关键词 | MULTI-WEIGHTED NEURON NETWORKS |
| 通讯作者 | feng, h, zhejiang univ technol, informat coll, inst intelligent informat syst, hangzhou 310032, peoples r china. e-mail: zjhzfh@mail.zjxu.edu.cn |
| 中文摘要 | we investigate the use of independent component analysis (ica) for speech feature extraction in digits speech recognition systems. we observe that this may be true for recognition tasks based on geometrical learning with little training data. in contrast to image processing, phase information is not essential for digits speech recognition. we therefore propose a new scheme that shows how the phase sensitivity can be removed by using an analytical description of the ica-adapted basis functions. furthermore, since the basis functions are not shift invariant, we extend the method to include a frequency-based ica stage that removes redundant time shift information. the digits speech recognition results show promising accuracy. experiments show that the method based on ica and geometrical learning outperforms hmm in a different number of training samples. |
| 学科主题 | 人工智能 |
| 收录类别 | SCI |
| 语种 | 英语 |
| 公开日期 | 2010-04-11 |
| 源URL | [http://ir.semi.ac.cn/handle/172111/10520]  |
| 专题 | 半导体研究所_中国科学院半导体研究所（2009年前） |
| 推荐引用方式 GB/T 7714 | Feng H ,Cao WM ,Wang SJ . Continuous speech recognition based on ICA and geometrical learning[J]. advances in machine learning and cybernetics,2006,3930(0):974-983. |
| APA | Feng H ,Cao WM ,&Wang SJ .(2006).Continuous speech recognition based on ICA and geometrical learning.advances in machine learning and cybernetics,3930(0),974-983. |
| MLA | Feng H ,et al."Continuous speech recognition based on ICA and geometrical learning".advances in machine learning and cybernetics 3930.0(2006):974-983. |
入库方式： OAI收割
来源：半导体研究所
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