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增强的双侧人工耳蜗耳间线索相干编码可改善噪声下的声音定位。

Coherent Coding of Enhanced Interaural Cues Improves Sound Localization in Noise With Bilateral Cochlear Implants.

机构信息

1 Medizinische Physik and Cluster of Excellence "Hearing4all," Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.

2 Institute of Acoustics, University of Applied Sciences Lübeck, Lübeck, Germany.

出版信息

Trends Hear. 2018 Jan-Dec;22:2331216518781746. doi: 10.1177/2331216518781746.

Abstract

Bilateral cochlear implant (BCI) users only have very limited spatial hearing abilities. Speech coding strategies transmit interaural level differences (ILDs) but in a distorted manner. Interaural time difference (ITD) information transmission is even more limited. With these cues, most BCI users can coarsely localize a single source in quiet, but performance quickly declines in the presence of other sound. This proof-of-concept study presents a novel signal processing algorithm specific for BCIs, with the aim to improve sound localization in noise. The core part of the BCI algorithm duplicates a monophonic electrode pulse pattern and applies quasistationary natural or artificial ITDs or ILDs based on the estimated direction of the dominant source. Three experiments were conducted to evaluate different algorithm variants: Experiment 1 tested if ITD transmission alone enables BCI subjects to lateralize speech. Results showed that six out of nine BCI subjects were able to lateralize intelligible speech in quiet solely based on ITDs. Experiments 2 and 3 assessed azimuthal angle discrimination in noise with natural or modified ILDs and ITDs. Angle discrimination for frontal locations was possible with all variants, including the pure ITD case, but for lateral reference angles, it was only possible with a linearized ILD mapping. Speech intelligibility in noise, limitations, and challenges of this interaural cue transmission approach are discussed alongside suggestions for modifying and further improving the BCI algorithm.

摘要

双侧人工耳蜗(BCI)使用者仅具有非常有限的空间听觉能力。语音编码策略传输耳间水平差(ILD),但以失真的方式传输。耳间时间差(ITD)信息的传输甚至更为有限。有了这些线索,大多数 BCI 用户可以在安静环境中粗略地定位单个声源,但在存在其他声音的情况下,性能会迅速下降。这项概念验证研究提出了一种针对 BCI 的新型信号处理算法,旨在提高噪声中的声音定位能力。BCI 算法的核心部分复制了一个单声道电极脉冲模式,并根据估计的主要声源方向应用准稳态自然或人工 ITD 或 ILD。进行了三个实验来评估不同的算法变体:实验 1 测试了仅传输 ITD 是否使 BCI 使用者能够对语音进行侧向化。结果表明,九名 BCI 使用者中有六名仅基于 ITD 就能够对可理解的语音进行侧向化。实验 2 和 3 使用自然或修改的 ILD 和 ITD 评估了噪声中的方位角辨别能力。所有变体都可以实现正面位置的角度辨别,包括纯 ITD 情况,但对于侧面参考角度,只有在ILD 线性化映射的情况下才可能。还讨论了这种双耳线索传输方法的语音可懂度、限制和挑战,并提出了修改和进一步改进 BCI 算法的建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e8/6048749/2855e7c33200/10.1177_2331216518781746-fig1.jpg

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