发明授权
- 专利标题: Methods and apparatus for training a pattern recognition system using maximal rank likelihood as an optimization function
- 专利标题(中): 使用最大秩可能性作为优化函数训练模式识别系统的方法和装置
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申请号: US09680706申请日: 2000-10-06
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公开(公告)号: US06850888B1公开(公告)日: 2005-02-01
- 发明人: Yuqing Gao , Yongxin Li , Michael Alan Picheny
- 申请人: Yuqing Gao , Yongxin Li , Michael Alan Picheny
- 申请人地址: US NY Armonk
- 专利权人: International Business Machines Corporation
- 当前专利权人: International Business Machines Corporation
- 当前专利权人地址: US NY Armonk
- 代理机构: Ryan, Mason & Lewis, LLP
- 代理商 Thu Ann Dang, Esq.
- 主分类号: G10L15/14
- IPC分类号: G10L15/14 ; G10L15/00
摘要:
A method and apparatus are disclosed for training a pattern recognition system, such as a speech recognition system, using an improved objective function. The concept of rank likelihood, previously applied only to the decding process, is applied in a novel manner to the parameter estimation of the training phase of a pattern recognition system. The disclosed objective function is based on a pseudo-rank likelihood that not only maximizes the likelihood of an observation for the correct class, but also minimizes the likelihoods of the observation for all other classes, such that the discrimination between classes is maximized. A training process is disclosed that utilizes the pseudo-rank likelihood objective function to identify model parameters that will result in a pattern recognizer with the lowest possible recognition error rate. The discrete nature of the rank-based rank likelihood objective function is transformed to allow the parameter estimations to be optimized during the training phase.