Invention Grant
- Patent Title: Constrained line search optimization for discriminative training of HMMS
- Patent Title (中): HMMS鉴别训练的约束线搜索优化
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Application No.: US11943210Application Date: 2007-11-20
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Publication No.: US08239332B2Publication Date: 2012-08-07
- Inventor: Peng Liu , Hui Jiang , Frank Kao-PingK Soong
- Applicant: Peng Liu , Hui Jiang , Frank Kao-PingK Soong
- Applicant Address: US WA Redmond
- Assignee: Microsoft Corporation
- Current Assignee: Microsoft Corporation
- Current Assignee Address: US WA Redmond
- Agency: Lee & Hayes, PLLC
- Main IPC: G06F15/18
- IPC: G06F15/18

Abstract:
An exemplary method for optimizing a continuous density hidden Markov model (CDHMM) includes imposing a constraint for discriminative training, approximating an objective function as a smooth function of CDHMM parameters and performing a constrained line search on the smoothed function to optimize values of the CDHMM parameters. Various other methods, devices and systems are disclosed.
Public/Granted literature
- US20090132444A1 CONSTRAINED LINE SEARCH OPTIMIZATION FOR DISCRIMINATIVE TRAINING OF HMMS Public/Granted day:2009-05-21
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