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Two Methods of Automatic Evaluation of Speech Signal Enhancement Recorded in the Open-Air MRI Environment

机译：露天MRI环境中记录的语音信号增强自动评估的两种方法

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摘要

The paper focuses on two methods of evaluation of successfulness of speech signal enhancement recorded in the open-air magnetic resonance imager during phonation for the 3D human vocal tract modeling. The first approach enables to obtain a comparison based on statistical analysis by ANOVA and hypothesis tests. The second method is based on classification by Gaussian mixture models (GMM). The performed experiments have confirmed that the proposed ANOVA and GMM classifiers for automatic evaluation of the speech quality are functional and produce fully comparable results with the standard evaluation based on the listening test method.
机译：本文重点介绍了在3D人声道建模的露天磁共振成像仪中记录在露天磁共振成像器中记录的语音信号增强成功的两种方法。第一种方法可以通过ANOVA和假设测试基于统计分析来获得比较。第二种方法基于高斯混合模型（GMM）的分类。所表演的实验证实，所提出的ANOVA和GMM分类器用于自动评估语音质量是功能性的，并基于听力测试方法的标准评估产生完全可比的结果。

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