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Word Recognition and Frequency Selectivity in Cochlear Implant Simulation: Effect of Channel Interaction

机译:耳蜗植入物模拟中的字识别与频率选择性:信道交互的影响

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摘要

In cochlear implants (CI), spread of neural excitation may produce channel interaction. Channel interaction disturbs the spectral resolution and, among other factors, seems to impair speech recognition, especially in noise. In this study, two tests were performed with 20 adult normal-hearing (NH) subjects under different vocoded simulations. First, there was a measurement of word recognition in noise while varying the number of selected channels (4, 8, 12 or 16 maxima out of 20) and the degree of simulated channel interaction (“Low”, “Medium” and “High”). Then, there was an evaluation of spectral resolution function of the degree of simulated channel interaction, reflected by the sharpness (Q10dB) of psychophysical tuning curves (PTCs). The results showed a significant effect of the simulated channel interaction on word recognition but did not find an effect of the number of selected channels. The intelligibility decreased significantly for the highest degree of channel interaction. Similarly, the highest simulated channel interaction impaired significantly the Q10dB. Additionally, a strong intra-individual correlation between frequency selectivity and word recognition in noise was observed. Lastly, the individual changes in frequency selectivity were positively correlated with the changes in word recognition when the degree of interaction went from “Low” to “High”. To conclude, the degradation seen for the highest degree of channel interaction suggests a threshold effect on frequency selectivity and word recognition. The correlation between frequency selectivity and intelligibility in noise supports the hypothesis that PTCs Q10dB can account for word recognition in certain conditions. Moreover, the individual variations of performances observed among subjects suggest that channel interaction does not have the same effect on each individual. Finally, these results highlight the importance of taking into account subjects’ individuality and to evaluate channel interaction through the speech processor.
机译:在耳蜗植入物(CI)中,神经激发的扩散可以产生通道相互作用。渠道交互扰动光谱分辨率,除其他因素之外,似乎损害了语音识别,尤其是噪声。在本研究中,在不同的声学模拟下用20个成年正常听力(NH)受试者进行两次测试。首先,在噪声中有一个单词识别,同时改变所选通道的数量(4,8,12或16最大值,其中20个)和模拟通道交互的程度(“低”,“中等”和“高” )。然后,评估模拟通道交互程度的光谱分辨率函数,由心理物理调谐曲线(PTCS)的锐度(Q10DB)反射。结果表明,模拟信道相互作用对字识别的效果显着效果,但未发现所选信道的数量的效果。可理解性在最高程度的信道相互作用下显着降低。类似地,最高模拟的信道相互作用显着损害了Q10DB。另外,观察到频率选择性与噪声中的字识别之间的强烈帧内相关性。最后,当互动程度从“低”到“高”时,频率选择性的个体变化与Word识别的变化正相关。为了得出结论,用于最高程度的信道交互的降解表明频率选择性和字识别的阈值效应。频率选择性与噪声清晰度之间的相关性支持PTCS Q10DB可以在某些条件下解释字识别的假设。此外,主题中观察到的个性变化表明,频道交互对每个人没有相同的效果。最后,这些结果突出了考虑到主题的个性的重要性,并通过语音处理器评估渠道互动。

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