公开(公告)号：US09600231B1

公开(公告)日：2017-03-21

申请号：US14751975

申请日：2015-06-26

Applicant: Amazon Technologies, Inc.

Inventor： Ming Sun ,  Björn Hoffmeister ,  Shiv Naga Prasad Vitaladevuni ,  Varun Kumar Nagaraja

IPC: G10L15/18 ,  G06F3/16 ,  G10L15/02 ,  G10L15/06 ,  G10L15/22

CPC classification number: G06F3/167 ,  G06F3/165 ,  G10L15/02 ,  G10L15/063 ,  G10L15/14 ,  G10L15/18 ,  G10L15/22 ,  G10L2015/0638 ,  G10L2015/088 ,  G10L2015/223

Abstract: A revised support vector machine (SVM) classifier is offered to distinguish between true keywords and false positives based on output from a keyword spotting component of a speech recognition system. The SVM operates on a reduced set of feature dimensions, where the feature dimensions are selected based on their ability to distinguish between true keywords and false positives. Further, support vectors pairs are merged to create a reduced set of re-weighted support vectors. These techniques result in an SVM that may be operated using reduced computing resources, thus improving system performance.