公开(公告)号：WO1996041334A1

公开(公告)日：1996-12-19

申请号：PCT/US1996009260

申请日：1996-06-06

Applicant: RUTGERS UNIVERSITY

Inventor： RUTGERS UNIVERSITY ,  MAMMONE, Richard, J. ,  FARRELL, Kevin ,  SHARMA, Manish ,  DEVANG, Naik ,  ZHANG, Xiaoyu ,  ASSALEH, Khaled ,  LIOU, Han-Sheng

IPC: G10L09/00

CPC classification number: G10L17/10 ,  G10L17/04 ,  G10L17/14 ,  G10L17/18 ,  G10L17/20 ,  G10L25/03

Abstract: The present invention relates to a pattern recognition system (Fig. 1) which uses data fusion to combine data from a plurality of extracted features (60, 61, 62) and a plurality of classifiers (70, 71, 72). Speaker patterns can be accurately verified with the combination of discriminant based and distortion based classifiers. A novel approach using a training set of a "leave one out" data can be used for training the system with a reduced data set (Figs. 7A, 7B, 7C). Extracted features can be improved with a pole filtered method for reducing channel effects (Fig. 11B) and an affine transformation for improving the correlation between training and testing data (Fig. 14).

Abstract translation: 本发明涉及使用数据融合来组合来自多个提取特征（60,61,62）和多个分类器（70,71,72）的数据的模式识别系统（图1）。 可以使用基于判别式和基于失真的分类器的组合来准确地验证扬声器模式。 可以使用使用“保留一个”数据的训练集的新颖方法来用减少的数据集来训练系统（图7A，7B，7C）。 通过用于减少信道效应的极点滤波方法（图11B）和用于改善训练和测试数据之间的相关性的仿射变换（图14）可以提高提取的特征。