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Extension of the Framework for auditory discrimination experiments (FADE) to predict the Goettingen (everyday) sentence speech test

机译:延伸听觉歧视实验(褪色)预测Goettingen(日常)句子演讲测试

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Many speech intelligibility models base predictions only on low-level physical properties of the signals and ignore the task syntax. However, empirical data indicates an influence of the complexity of speech tests on their outcome. The Framework for Auditory Discrimination Experiments, which simulates the speech recognition process with an automatic speech recognition system, was extended to predict speech reception thresholds (SRTs) for two extreme assumptions about the sentence structure: No knowledge and perfect knowledge. The outcomes of three speech tests were predicted and compared to empirical data: Digit triplet test, Matrix sentence test, and Goettingen (everyday) sentence test. The predicted SRTs were highest for the complex speech material of the Goettingen sentence test, with differences between the two extreme assumptions below 2 dB. The empirical outcome was found to lie in-between. The main effect of complexity is suspected to be due to the number of required concurrent hypothesis during recognition.
机译:许多语音可智能性模型仅在信号的低级物理属性上进行基础预测,并忽略任务语法。然而,经验数据表明语音测试对其结果的复杂性的影响。听觉辨别实验的框架模拟了具有自动语音识别系统的语音识别过程,扩展了关于句子结构的两个极端假设的语音接收阈值(SRTS):没有知识和完美的知识。预计三个语音测试的结果并与经验数据进行比较:数字三联网测试,矩阵句测试和Goettingen(日常)句子测试。预测的SRT对于Goettingen句子测试的复杂语音材料最高,两个极端假设低于2 dB的差异。发现经验结果位于两者之间。怀疑复杂性的主要效果是由于在识别期间所需的并发假设的数量。

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