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正确的信息可能比频率-位置匹配更重要:浅电极阵列植入的频率匹配和向上移位人工耳蜗处理器的模拟。

The right information may matter more than frequency-place alignment: simulations of frequency-aligned and upward shifting cochlear implant processors for a shallow electrode array insertion.

作者信息

Faulkner Andrew, Rosen Stuart, Norman Clare

机构信息

Department of Phonetics and Linguistics, University College London, Wolfson House, London, United Kingdom.

出版信息

Ear Hear. 2006 Apr;27(2):139-52. doi: 10.1097/01.aud.0000202357.40662.85.

Abstract

OBJECTIVE

It has been claimed that speech recognition with a cochlear implant is dependent on the correct frequency alignment of analysis bands in the speech processor with characteristic frequencies (CFs) at electrode locations. However, the use of filters aligned in frequency to a relatively basal electrode array position leads to significant loss of lower frequency speech information. This study uses an acoustic simulation to compare two approaches to the matching of speech processor filters to an electrode array having a relatively shallow depth within the typical range, such that the most apical element is at a CF of 1851 Hz. Two noise-excited vocoder speech processors are compared, one with CF-matched filters, and one with filters matched to CFs at basilar membrane locations 6 mm more apical than electrode locations.

DESIGN

An extended crossover training design examined pre- and post-training performance in the identification of vowels and words in sentences for both processors. Subjects received about 3 hours of training with each processor in turn.

RESULTS

Training improved performance with both processors, but training effects were greater for the shifted processor. For a male talker, the shifted processor led to higher post-training scores than the frequency-aligned processor with both vowels and sentences. For a female talker, post-training vowel scores did not differ significantly between processors, whereas sentence scores were higher with the frequency-aligned processor.

CONCLUSIONS

Even for a shallow electrode insertion, we conclude that a speech processor should represent information from important frequency regions below 1 kHz and that the possible cost of frequency misalignment can be significantly reduced with listening experience.

摘要

目的

有人声称,人工耳蜗的语音识别取决于语音处理器中分析频段与电极位置处的特征频率(CF)的正确频率对齐。然而,使用频率与相对基底电极阵列位置对齐的滤波器会导致低频语音信息的显著损失。本研究使用声学模拟来比较两种方法,即将语音处理器滤波器与典型范围内深度相对较浅的电极阵列进行匹配,使得最顶端的元件处于1851Hz的CF处。比较了两种噪声激励的声码器语音处理器,一种具有CF匹配滤波器,另一种具有与电极位置顶端6mm处基底膜位置的CF匹配的滤波器。

设计

采用扩展交叉训练设计,检查了两种处理器在识别句子中的元音和单词时的训练前和训练后表现。受试者依次使用每种处理器接受约3小时的训练。

结果

训练提高了两种处理器的表现,但对于频率偏移的处理器,训练效果更大。对于男性说话者,频率偏移的处理器在元音和句子方面的训练后得分均高于频率对齐的处理器。对于女性说话者,训练后处理器之间的元音得分没有显著差异,而频率对齐的处理器在句子得分方面更高。

结论

即使电极插入较浅,我们也得出结论,语音处理器应表示1kHz以下重要频率区域的信息,并且通过听力经验可以显著降低频率未对齐可能带来的代价。

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