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The Evaluation Process Automation of Phrase and Word Intelligibility Using Speech Recognition Systems

机译:语音识别系统对短语和单词清晰度的评估过程自动化

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The article proposes the application of the assessment of phrase and word intelligibility through speech recognition approach in the framework of solving the problems of speech rehabilitation after the combined treatment of oncological diseases. Speech intelligibility assessments were obtained using three speech recognition systems (Google, Yandex, Voco) and compared with expert assessments of intelligibility. Experimental results show a positive opinion about the proposed approach and they are agreed with expert assessments. Based on the processed data from rehabilitation for the Russian language, a recommendation is formulated on using the Google recognition system in the first version of the being developed product. The statistical significance of the differences in the obtained estimates of intelligibility between patient sessions and the coincidence of the sign of these differences with expert estimates and theoretical expectations are shown.
机译:本文提出了通过语音识别方法对短语和单词的清晰度进行评估在解决肿瘤疾病综合治疗后的语音康复问题的框架中的应用。使用三种语音识别系统(Google,Yandex,Voco)获得了语音清晰度评估,并将其与专家清晰度评估进行了比较。实验结果显示了对所提出方法的积极评价,并得到专家评估的认可。根据来自康复治疗的俄语处理数据,在正在开发的产品的第一版中提出了关于使用Google识别系统的建议。显示了患者会话之间可懂度估计值的差异的统计显着性,以及这些差异的符号与专家估计值和理论期望的一致。

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