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A physiologically-inspired model reproducing the speech intelligibility benefit in cochlear implant listeners with residual acoustic hearing

机译:生理学上灵感模型,在扶余声音听力中复制耳蜗植入听众的语音可懂度效益

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This study introduces a speech intelligibility model for cochlear implant users with ipsilateral preserved acoustic hearing that aims at simulating the observed speech-in-noise intelligibility benefit when receiving simultaneous electric and acoustic stimulation (EA-benefit). The model simulates the auditory nerve spiking in response to electric and/or acoustic stimulation. The temporally and spatially integrated spiking patterns were used as the final internal representation of noisy speech. Speech reception thresholds (SRTs) in stationary noise were predicted for a sentence test using an automatic speech recognition framework. The model was employed to systematically investigate the effect of three physiologically relevant model factors on simulated SRTs: (1) the spatial spread of the electric field which co-varies with the number of electrically stimulated auditory nerves, (2) the "internal" noise simulating the deprivation of auditory system, and (3) the upper bound frequency limit of acoustic hearing. The model results show that the simulated SRTs increase monotonically with increasing spatial spread for fixed internal noise, and also increase with increasing the internal noise strength for a fixed spatial spread. The predicted EA-benefit does not follow such a systematic trend and depends on the specific combination of the model parameters. Beyond 300 Hz, the upper bound limit for preserved acoustic hearing is less influential on speech intelligibility of EA-listeners in stationary noise. The proposed model-predicted EA-benefits are within the range of EA-benefits shown by 18 out of 21 actual cochlear implant listeners with preserved acoustic hearing. (C) 2016 Elsevier B.V. All rights reserved.
机译:本研究介绍了具有同侧保存声学听力的耳蜗植入物用户的语音可明智性模型,其目的在于在接收同时电气和声学刺激(EA-PRESS)时模拟观察到的语音可懂度效益。该模型响应电动和/或声学刺激模拟听觉神经尖刺。时间和空间整合的尖峰图案被用作嘈杂言论的最终内部代表性。使用自动语音识别框架预测静止噪声中的语音接收阈值(SRT)。该模型用于系统地研究三种生理相关模型因素对模拟Srts的影响:(1)电场的空间扩散,其与电刺激听动神经的数量相加,(2)“内部”噪音模拟听觉系统的剥夺,(3)声音听力的上限频率极限。模型结果表明,模拟Srts随着固定内部噪声的增加而单调地增加,随着固定空间扩展的内部噪声强度的增加,也随着空间噪声强度而增加。预测的EA优势不遵循这种系统趋势,并取决于模型参数的具体组合。超过300 Hz,保存声学听力的上限限制在静止噪声中的EA倾听者的语音清晰度不太有影响力。拟议的模型预测的EA福利在具有保存的声音听力的21个实际的耳蜗植入机听众中显示的EA优势范围内。 (c)2016年Elsevier B.v.保留所有权利。

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