Suppr超能文献

背景噪声的时频结构决定了双耳听觉对语音识别的益处。

The Temporal Fine Structure of Background Noise Determines the Benefit of Bimodal Hearing for Recognizing Speech.

机构信息

Department of Otorhinolaryngology, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.

Leiden Institute for Brain and Cognition, Leiden University, Leiden, The Netherlands.

出版信息

J Assoc Res Otolaryngol. 2020 Dec;21(6):527-544. doi: 10.1007/s10162-020-00772-1. Epub 2020 Oct 26.

Abstract

Cochlear implant (CI) users have more difficulty understanding speech in temporally modulated noise than in steady-state (SS) noise. This is thought to be caused by the limited low-frequency information that CIs provide, as well as by the envelope coding in CIs that discards the temporal fine structure (TFS). Contralateral amplification with a hearing aid, referred to as bimodal hearing, can potentially provide CI users with TFS cues to complement the envelope cues provided by the CI signal. In this study, we investigated whether the use of a CI alone provides access to only envelope cues and whether acoustic amplification can provide additional access to TFS cues. To this end, we evaluated speech recognition in bimodal listeners, using SS noise and two amplitude-modulated noise types, namely babble noise and amplitude-modulated steady-state (AMSS) noise. We hypothesized that speech recognition in noise depends on the envelope of the noise, but not on its TFS when listening with a CI. Secondly, we hypothesized that the amount of benefit gained by the addition of a contralateral hearing aid depends on both the envelope and TFS of the noise. The two amplitude-modulated noise types decreased speech recognition more effectively than SS noise. Against expectations, however, we found that babble noise decreased speech recognition more effectively than AMSS noise in the CI-only condition. Therefore, we rejected our hypothesis that TFS is not available to CI users. In line with expectations, we found that the bimodal benefit was highest in babble noise. However, there was no significant difference between the bimodal benefit obtained in SS and AMSS noise. Our results suggest that a CI alone can provide TFS cues and that bimodal benefits in noise depend on TFS, but not on the envelope of the noise.

摘要

人工耳蜗(CI)使用者在时间调制噪声中理解言语的能力比在稳态噪声中更差。这被认为是由于 CI 提供的低频信息有限,以及 CI 中的包络编码丢弃了时间精细结构(TFS)。使用助听器进行对侧放大,称为双模式听力,可以为 CI 用户提供 TFS 线索,以补充 CI 信号提供的包络线索。在这项研究中,我们研究了 CI 的单独使用是否仅提供包络线索,以及声学放大是否可以提供对 TFS 线索的额外访问。为此,我们使用稳态噪声和两种幅度调制噪声类型(即 babble 噪声和幅度调制稳态噪声)评估了双模式听力者的言语识别。我们假设,当使用 CI 进行听力时,噪声中的言语识别取决于噪声的包络,但不取决于其 TFS。其次,我们假设,添加对侧助听器的益处取决于噪声的包络和 TFS。两种幅度调制噪声类型比稳态噪声更有效地降低了言语识别。然而,出人意料的是,我们发现,在仅使用 CI 的情况下, babble 噪声比 AMSS 噪声更有效地降低了言语识别。因此,我们拒绝了 TFS 不可用于 CI 用户的假设。与预期一致,我们发现,在 babble 噪声中,双模式益处最高。然而,在 SS 和 AMSS 噪声中获得的双模式益处之间没有显著差异。我们的结果表明,CI 本身可以提供 TFS 线索,并且噪声中的双模式益处取决于 TFS,而不是噪声的包络。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f828/7644728/b98c5f9daa97/10162_2020_772_Fig2_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验