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Constrained line search optimization for discriminative training of HMMS

机译:约束线搜索优化用于HMMS的判别训练

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.
机译:用于优化连续密度隐藏马尔可夫模型(CDHMM)的示例性方法包括对判别训练施加约束,将目标函数逼近为CDHMM参数的平滑函数以及对平滑函数执行约束线搜索以优化CDHMM参数的值。公开了各种其他方法,设备和系统。

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