期刊论文

中文

计算机工程

1000-3428

2005

31

5

4-7

10.3969/j.issn.1000-3428.2005.05.002

国家星火计划

本校为其他机构

从说话人自适应技术讨论了最大后验概率(MAP)和最大似然线性回归(MLLR)两种经典的说活人自适应方法,通过在渐进的MAP方法中引入一个简化的MLLR模块,提出一种适合于强健语音识别的快速综合渐进自适应语音识别方法和策略.

The paper discusses two classical speaker adaptation methods in the field of speaker adaptation techniques: maximum a posteriori (MAP) and maximum likelihood linear regression (MLLR). By introducing a simplified MLLR module to the incremental MAP processing, a new approach and strategy of speed recognition for rapid, integration incremental adaptation are presented, and the new app...