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Constrained line search optimization for discriminative training of HMMS
Constrained line search optimization for discriminative training of HMMS
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机译:约束线搜索优化用于HMMS的判别训练
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摘要
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.
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