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Storage of transformations for the adaptation of the markov models (hmm) by means of a hierarchical of linear regression
Storage of transformations for the adaptation of the markov models (hmm) by means of a hierarchical of linear regression
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机译:通过线性回归分层存储用于适应马尔可夫模型(hmm)的转换
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摘要
A new method, which builds the models at m-th step directly from models at the initial step, is provided to minimize the storage and calculation. The method therefore merges the M x N transformations into a single transformation. The merge guarantees the exactness of the transformations and make it possible for recognizers on mobile devices to have adaptation capability.
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机译:提供了一种新方法,该方法可从第一个步骤的模型直接在第m步建立模型,以最大程度地减少存储和计算。因此,该方法将M x N个转换合并为一个转换。合并可确保转换的准确性,并使移动设备上的识别器具有适应能力。
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