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Management of Truncated Data in Speech Transmission Evaluation for Pupils in Classrooms

机译:课堂语音传递评估中截断数据的管理

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摘要

Speech intelligibility is a subjective performance index defined as the percentage of a message understood correctly. Often the results of speech intelligibility tests would suggest that conditions are acceptable, with Intelligibility Score (IS) of the order of 90% or more, while speech transmission performance may not be satisfactory. Subjective ratings of the Listening Easiness Score (LES), based on a discrete questionnaire, provide an alternative approach. A total of 239 primary school pupils, aged 7 to 11, evenly distributed among the grades, participated in the survey. The objective indicator Speech Transmission Index (STI) was also measured for each test setting in seven different positions in the laboratory classroom used for the test. Both IS and LES are inherently bounded, and their data distributions exhibit a significant accumulation of scores in the upper and lower parts. The resulting truncation problem has been addressed with a method based on the normal probability plot, enabling identification of mathematical models relating IS and LES to STI, as well as the estimation of related uncertainties. IS and LES exhibit substantially similar metrological capabilities, as, for both, model relative uncertainty does not exceed 4% and uncertainties in prediction of new observations are about twice as large.
机译:语音清晰度是一种主观性能指标,定义为正确理解的消息所占的百分比。语音清晰度测试的结果通常表明条件是可以接受的,清晰度分数(IS)约为90%或更高,而语音传输性能可能并不令人满意。基于离散问卷的主观评估听力轻松评分(LES)提供了一种替代方法。共有239名7至11岁的小学生参加了该调查,这些学生平均分布在各个年级。还针对每个测试设置在实验室教室中用于测试的七个不同位置中测量了客观指标语音传输指数(STI)。 IS和LES都固有地有界,并且它们的数据分布在上部和下部都显示出明显的分数积累。使用基于正态概率图的方法解决了由此产生的截断问题,该方法能够识别将IS和LES与STI相关的数学模型,以及相关不确定性的估计。 IS和LES表现出基本相似的计量能力,因为两者的模型相对不确定性均不超过4%,并且新观测值的预测中的不确定性约为其两倍。

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