Invention Application
- Patent Title: TRAINING CLASSIFIERS USING SELECTED COHORT SAMPLE SUBSETS
- Patent Title (中): 使用选择的联合样本附件培训分类器
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Application No.: US15121004Application Date: 2014-03-28
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Publication No.: US20160365096A1Publication Date: 2016-12-15
- Inventor: Tobias Bocklet , Adam Marek
- Applicant: INTEL CORPORATION
- International Application: PCT/PL2014/050017 WO 20140328
- Main IPC: G10L17/04
- IPC: G10L17/04 ; G10L17/16 ; G10L17/08 ; G10L17/02

Abstract:
Various systems, apparatuses, and methods for training classifiers using selected cohort sample subsets are disclosed herein, in an example, a set of target supervectors, representing a target class, is received, and a set of cohort supervectors, representing a cohort class, is received. A distance metric is calculated from a respective cohort supervector to a respective target supervector, and a proper subset of cohort supervectors are selected based on the calculated distance metrics. The set of target supervectors and the selected proper subset of cohort supervectors are used to train a classifier. Further examples described herein describe how training classifiers using selected cohort sample subsets may be used to increase performance and decrease resource consumption in voice biometric systems.
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