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使用共振峰优先级通道选择对 Cochlear 植入物的“n-of-m”声音处理策略进行估计准确性、估计方法和选择通道数量的影响。

The effects of estimation accuracy, estimation approach, and number of selected channels using formant-priority channel selection for an "n-of-m" sound processing strategy for cochlear implants.

机构信息

University of Texas at Dallas, Center for Robust Speech Systems, Cochlear Implant Laboratory, 800 W. Campbell Rd, EC 33, Richardson, Texas 75080, USA.

出版信息

J Acoust Soc Am. 2023 May 1;153(5):3100. doi: 10.1121/10.0019416.

Abstract

Previously, selection of l channels was prioritized according to formant frequency locations in an l-of-n-of-m-based signal processing strategy to provide important voicing information independent of listening environments for cochlear implant (CI) users. In this study, ideal, or ground truth, formants were incorporated into the selection stage to determine the effect of accuracy on (1) subjective speech intelligibility, (2) objective channel selection patterns, and (3) objective stimulation patterns (current). An average +11% improvement (p < 0.05) was observed across six CI users in quiet, but not for noise or reverberation conditions. Analogous increases in channel selection and current for the upper range of F1 and a decrease across mid-frequencies with higher corresponding current, were both observed at the expense of noise-dominant channels. Objective channel selection patterns were analyzed a second time to determine the effects of estimation approach and number of selected channels (n). A significant effect of estimation approach was only observed in the noise and reverberation condition with minor differences in channel selection and significantly decreased stimulated current. Results suggest that estimation method, accuracy, and number of channels in the proposed strategy using ideal formants may improve intelligibility when corresponding stimulated current of formant channels are not masked by noise-dominant channels.

摘要

先前,根据 l-of-n-of-m 信号处理策略中的共振峰频率位置,优先选择 l 通道,为 Cochlear 植入 (CI) 用户提供独立于聆听环境的重要发声信息。在这项研究中,将理想或真实的共振峰纳入选择阶段,以确定准确性对 (1) 主观语音可懂度、(2) 客观通道选择模式和 (3) 客观刺激模式 (电流) 的影响。在安静环境下,六位 CI 用户的语音可懂度平均提高了 +11%(p<0.05),但在噪声或混响环境下没有提高。在 F1 的较高频率范围内,通道选择和电流也呈类似的增加,而在中频范围内,电流则呈下降趋势,这两种情况都是以牺牲噪声主导的通道为代价的。客观通道选择模式被再次分析,以确定估计方法和所选通道数量 (n) 的影响。仅在噪声和混响条件下观察到估计方法的显著影响,在噪声主导的通道掩蔽下,通道选择和刺激电流显著减少。结果表明,当相应的共振峰通道的刺激电流不受噪声主导通道掩蔽时,使用理想共振峰的策略中的估计方法、准确性和通道数量可能会提高可懂度。

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