公开(公告)号：US5806029A

公开(公告)日：1998-09-08

申请号：US528821

申请日：1995-09-15

申请人： Eric Rolfe Buhrke ,  Wu Chou ,  Mazin G. Rahim

发明人： Eric Rolfe Buhrke ,  Wu Chou ,  Mazin G. Rahim

IPC分类号： G10L15/02 ,  G10L15/14 ,  G10L15/20 ,  G10L5/00

CPC分类号： G10L15/144 ,  G10L15/02 ,  G10L21/0272

摘要： Hierarchical signal bias removal (HSBR) signal conditioning uses a codebook constructed from the set of recognition models and is updated as the recognition models are modified during recognition model training. As a result, HSBR signal conditioning and recognition model training are based on the same set of recognition model parameters, which provides significant reduction in recognition error rate for the speech recognition system.

摘要翻译： 分级信号偏移去除（HSBR）信号调理使用由该组识别模型构建的码本，并且在识别模型训练期间识别模型被修改时被更新。 因此，HSBR信号调理和识别模型训练基于相同的识别模型参数集，这显着降低了语音识别系统的识别误码率。