公开(公告)号：US06662160B1

公开(公告)日：2003-12-09

申请号：US09696293

申请日：2000-10-26

申请人： Jen-Tzung Chien ,  Kuo-Kuan Wu ,  Po-Cheng Chen

发明人： Jen-Tzung Chien ,  Kuo-Kuan Wu ,  Po-Cheng Chen

IPC分类号： G10L1514

CPC分类号： G10L15/20

摘要： An adaptive speech recognition method with noise compensation is disclosed. In speech recognition, optimal equalization factors for feature vectors of a plurality of speech frames corresponding to each probability density function in a speech model are determined based on the plurality of speech frames of the input speech and the speech model. The parameters of the speech model are adapted by the optimal equalization factor and a bias compensation vector, which is corresponding to and retrieved by the optimal equalization factor. The optimal equalization factor is provided to adjust a distance of the mean vector in the speech model. The bias compensation vector is provided to adjust a direction change of the mean vector in the speech model.

摘要翻译： 公开了一种具有噪声补偿的自适应语音识别方法。 在语音识别中，基于输入语音和语音模型的多个语音帧来确定对应于语音模型中的每个概率密度函数的多个语音帧的特征向量的最优均衡因子。 语音模型的参数通过最优均衡因子和偏置补偿向量进行调整，偏置补偿矢量对应于最优均衡因子并由其获得。 提供最优均衡因子以调整语音模型中的平均向量的距离。 提供偏置补偿矢量以调整语音模型中的平均矢量的方向变化。