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METHOD AND SYSTEM FOR PREDICTING SPEECH RECOGNITION PERFORMANCE USING ACCURACY SCORES

机译:使用准确率预测语音识别性能的方法和系统

摘要

A system and method are presented for predicting speech recognition performance using accuracy scores in speech recognition systems within the speech analytics field. A keyword set is selected. Figure of Merit (FOM) is computed for the keyword set. Relevant features that describe the word individually and in relation to other words in the language are computed. A mapping from these features to FOM is learned. This mapping can be generalized via a suitable machine learning algorithm and be used to predict FOM for a new keyword. In at least embodiment, the predicted FOM may be used to adjust internals of speech recognition engine to achieve a consistent behavior for all inputs for various settings of confidence values.
机译:提出了一种用于在语音分析领域内的语音识别系统中使用准确性分数来预测语音识别性能的系统和方法。选择了一个关键字集。为关键字集计算价值因数(FOM)。计算分别描述该单词并与该语言中的其他单词相关的相关特征。学习了从这些功能到FOM的映射。可以通过合适的机器学习算法来概括此映射,并将其用于预测新关键字的FOM。在至少一个实施例中,预测的FOM可以用于调整语音识别引擎的内部,以针对各种置信度值设置针对所有输入实现一致的行为。

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