The recognition of sentences in noise by normal-hearing listeners using simulations of cochlear-implant signal processors with 6-20 channels
The recognition of sentences in noise by normal-hearing listeners using simulations of cochlear-implant signal processors with 6-20 channels
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DOI：
10.1121/1.423940
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发表时间：
1998-12-01
影响因子：
2.4
通讯作者：
Tu, ZM
中科院分区：
文献类型：
--
作者：
Dorman, MF;Loizou, PC;Tu, ZM
句子通过耳蜗植入信号处理器的模拟处理，具有6、8、12、16和20个通道，并以+2 dB S/N和-2 dB S/N呈现给听力正常的听众。信号处理操作包括带通滤波、整流和平滑每个频带中的信号，估计每个频带中信号的均方根能量（每4 ms计算一次），以及生成频率等于频带中心频率、幅度等于每个频带均方根电平的正弦波。对正弦曲线进行求和并呈现给听众进行识别。争论的焦点是在句子理解测试中达到最大表现所需的通道数量。在+2 dB S/N时，12个刺激通道达到性能最大值。在-2 dB S/N时，20个刺激通道达到性能最大值。这些结果，结合结果，在安静的，渐近性能达到五个通道的刺激，表明更多的渠道需要在噪音比安静，达到高水平的句子理解，并且，作为S/N变得更差，需要更多的渠道来实现给定的性能水平。(C)1998年美国声学学会。[S0001-4966（98）04912-1]。
Sentences were processed through simulations of cochlear-implant signal processors with 6, 8, 12, 16, and 20 channels and were presented to normal-hearing listeners at +2 db S/N and at -2 db S/N. The signal-processing operations included bandpass filtering, rectification, and smoothing of the signal in each band, estimation of the rms energy of the signal in each band (computed every 4 ms), and generation of sinusoids with frequencies equal to the center frequencies of the bands and amplitudes equal to the rms levels in each band. The sinusoids were summed and presented to Listeners for identification. At issue was the number of channels necessary to reach maximum performance on tests of sentence understanding. At +2 dB S/N, the performance maximum was reached with 12 channels of stimulation. At -2 dB S/N, the performance maximum was reached with 20 channels of stimulation. These results, in combination with the outcome that in quiet, asymptotic performance is reached with five channels of stimulation, demonstrate that more channels are needed in noise than in quiet to;reach a high level of sentence understanding and that, as the S/N becomes poorer, more channels are needed to achieve a given level of performance. (C) 1998 Acoustical Society of America. [S0001-4966(98)04912-1].