Spectral Grouping of Electrically Encoded Sound Predicts Speech-in-Noise Performance in Cochlear Implantees.
Spectral Grouping of Electrically Encoded Sound Predicts Speech-in-Noise Performance in Cochlear Implantees.
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DOI：
10.1007/s10162-023-00918-x
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发表时间：
2023-12
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人工耳蜗使用者在理解噪声环境下的语音时表现出很大的变异性。过去对CI用户的研究发现，频谱和时间分辨率与语音噪声能力相关，但很大一部分方差仍未得到解释。最近对听力正常的听众的研究表明，在复杂的听觉场景中对时间和频谱上连贯的音调进行分组的能力，可以独立于听音图预测噪音中的语音能力，这突出了听觉场景分析的核心机制，有助于噪音中的语音。本研究考察了听觉分组能力是否也有助于CI使用者在噪音中理解语音。对47名语言失聪后的CI用户进行了频谱和时间分辨率的心理物理测试，这是一项随机图形-背景任务，该任务依赖于通过在随机背景下分组多个固定频率元素来检测图形，以及噪声中的句子测量。使用多元线性回归来预测其他任务的噪声中句子的性能。预测变量之间无共线性关系。所有三个预测因子（频谱和时间分辨率加上图-地任务）在多元线性回归模型中都表现出显著的贡献，这表明复杂听觉场景中的听觉分组能力解释了CI用户在噪音中语音表现的进一步比例方差，而频谱和时间分辨率无法解释这一差异。交叉频率分组的测量反映了一种听觉认知机制，该机制决定了独立于耳蜗功能的噪声语音理解。这些措施很容易在临床上实施，作为CI成功的预测因素，并提出了基于非言语刺激训练的潜在康复策略。在线版本包含补充材料，可在10.1007/s10162-023-00918-x获得。
Cochlear implant (CI) users exhibit large variability in understanding speech in noise. Past work in CI users found that spectral and temporal resolution correlates with speech-in-noise ability, but a large portion of variance remains unexplained. Recent work on normal-hearing listeners showed that the ability to group temporally and spectrally coherent tones in a complex auditory scene predicts speech-in-noise ability independently of the audiogram, highlighting a central mechanism for auditory scene analysis that contributes to speech-in-noise. The current study examined whether the auditory grouping ability also contributes to speech-in-noise understanding in CI users. Forty-seven post-lingually deafened CI users were tested with psychophysical measures of spectral and temporal resolution, a stochastic figure-ground task that depends on the detection of a figure by grouping multiple fixed frequency elements against a random background, and a sentence-in-noise measure. Multiple linear regression was used to predict sentence-in-noise performance from the other tasks. No co-linearity was found between any predictor variables. All three predictors (spectral and temporal resolution plus the figure-ground task) exhibited significant contribution in the multiple linear regression model, indicating that the auditory grouping ability in a complex auditory scene explains a further proportion of variance in CI users’ speech-in-noise performance that was not explained by spectral and temporal resolution. Measures of cross-frequency grouping reflect an auditory cognitive mechanism that determines speech-in-noise understanding independently of cochlear function. Such measures are easily implemented clinically as predictors of CI success and suggest potential strategies for rehabilitation based on training with non-speech stimuli. The online version contains supplementary material available at 10.1007/s10162-023-00918-x.
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影响因子：
2.7
作者：
Lee, Jae-Hee;Shim, Hwan;Gantz, Bruce;Choi, Inyong
通讯作者：
Choi, Inyong
影响因子：
2.4
作者：
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影响因子：
2.7
作者：
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通讯作者：
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DOI：
10.1007/s10162-015-0507-y
发表时间：
2015-04-01
影响因子：
2.4
作者：
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通讯作者：
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影响因子：
2.4
作者：
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