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Response to Comment: RE: Ohlenforst et al. (2016) Exploring the Relationship Between Working Memory, Compressor Speed, and Background Noise Characteristics, Ear Hear 37, 137–143

机译:对评论的回应:RE:Ohlenforst等。 (2016)探索工作记忆,压缩机速度和背景噪声特性之间的关系,Ear Hear 37,137-143

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摘要

We appreciate the opportunity to respond to the comment on our study (Ohlenforst et al. 2016). The issue of concern to the letter writer, “The speech and the noise signals were separately compressed before the SNRs [signal-to-noise ratios] were computed based on the signal’s root mean square values.” referred to a calibration process in which the compressor gain function, derived from the mixed signal, was applied separately to the speech signal and to the separate noise signals to quantify the output signal to noise ratio. This was done to investigate compressor functionality. However, to create the test stimuli presented to the participants, the compressor was applied to the mixed speech-plus-noise signal at a specified input signal to noise ratio (−4, −2, and 0 dB), not on the speech signal or the noise signals alone. That is, the actual stimulus processing was all done on the mixed speech-plus-noise signal, which we believe to be the method that best represents realistic hearing aid situations. We regret the confusion that this inadvertent omission has caused and would like to thank Dr. Leijon for bringing the issue to our attention.
机译:我们很高兴有机会回应对我们研究的评论(Ohlenforst等,2016)。信作者担心的一个问题是:“在基于信号的均方根值计算出SNR(信噪比)之前,分别对语音和噪声信号进行压缩”。术语“校准”是指校准过程,其中将从混合信号得出的压缩器增益函数分别应用于语音信号和单独的噪声信号,以量化输出信噪比。这样做是为了研究压缩机的功能。但是,为了创建呈现给参与者的测试刺激,将压缩器以指定的输入信噪比(-4,-2和0 dB)而不是语音信号应用于混合的语音加噪声信号。或单独的噪音信号。也就是说,实际的刺激处理都是在混合的语音加噪声信号上完成的,我们认为这是最能代表现实助听器情况的方法。我们对这一疏忽造成的混乱感到遗憾,并感谢雷洪博士将这一问题提请我们注意。

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