Invention Grant
- Patent Title: Automatic pattern recognition using category dependent feature selection
- Patent Title (中): 使用分类依赖特征选择的自动模式识别
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Application No.: US11998262Application Date: 2007-11-29
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Publication No.: US08380506B2Publication Date: 2013-02-19
- Inventor: Woojay Jeon , Biing-Hwang Juang
- Applicant: Woojay Jeon , Biing-Hwang Juang
- Applicant Address: US GA Atlanta
- Assignee: Georgia Tech Research Corporation
- Current Assignee: Georgia Tech Research Corporation
- Current Assignee Address: US GA Atlanta
- Agency: Troutman Sanders LLP
- Agent Dustin B. Weeks, Esq.
- Main IPC: G10L15/04
- IPC: G10L15/04

Abstract:
Disclosed are apparatus and methods that employ a modified version of a computational model of the human peripheral and central auditory system, and that provide for automatic pattern recognition using category dependent feature selection. The validity of the output of the model is examined by deriving feature vectors from the dimension expanded cortical response of the central auditory system for use in a conventional phoneme recognition task. In addition, the cortical response may be a place-coded data set where sounds are categorized according to the regions containing their most distinguishing features. This provides for a novel category-dependent feature selection apparatus and methods in which this mechanism may be utilized to better simulate robust human pattern (speech) recognition.
Public/Granted literature
- US20080147402A1 Automatic pattern recognition using category dependent feature selection Public/Granted day:2008-06-19
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