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Determining model-specific factors for assigning classes to test data in speech recognition
Determining model-specific factors for assigning classes to test data in speech recognition
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机译:确定在语音识别中为测试数据分配类别的特定于模型的因素
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摘要
The method uses a probability model to evaluate test data and assign them in different classes. Probability values of different models for the same class assignment are evaluated with model-specific factors and combined to form a total probability value. The model-specific factors are determined such that the total probability of assigning the training data to particular classes is a minimum compared to other classes, and erroneous classification of the training data is minimized.
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