Suppr超能文献

通过将毛细胞适应性整合到人工耳蜗处理中来增强语音包络。

Enhancing speech envelope by integrating hair-cell adaptation into cochlear implant processing.

作者信息

Azadpour Mahan, Smith Robert L

机构信息

Institute for Sensory Research, Department of Biomedical and Chemical Engineering, Syracuse University, 621 Skytop Road, Syracuse, NY 13244, United States.

出版信息

Hear Res. 2016 Dec;342:48-57. doi: 10.1016/j.heares.2016.09.008. Epub 2016 Sep 30.

Abstract

Cochlear implants (CIs) bypass some of the mechanisms that underlie normal neural behavior as occurs in acoustic hearing. One such neural mechanism is short-term adaptation, which has been proposed to have a significant role in speech perception. Acoustically-evoked neural adaptation has been mainly attributed to the depletion of neurotransmitter in the hair-cell to auditory-nerve synapse and is therefore not fully present in CI stimulation. This study evaluated a signal processing method that integrated a physiological model of hair-cell adaptation into CI speech processing. The linear high-pass adaptation process expanded the range of rapid variations of the electrical signal generated by the clinical processing strategy. Speech perception performance with the adaptation-based processing was compared to that of the clinical strategy in seven CI users. While there was large variability across subjects, the new processing improved sentence recognition and consonant identification scores in quiet in all the tested subjects with an average improvement of 8% and 6% respectively. Consonant recognition scores in babble noise were improved at the higher signal-to-noise ratios tested (10 and 6 dB) only. Information transfer analysis of consonant features showed significant improvements for manner and place of articulation features, but not for voicing. Enhancement of within-channel envelope cues was confirmed by consonant recognition results obtained with single-channel strategies that presented the overall amplitude envelope of the signal on a single active electrode. Adaptation-inspired envelope enhancement techniques can potentially improve perception of important speech features by CI users.

摘要

人工耳蜗(CI)绕过了一些正常神经行为所依赖的机制,而这些机制在听觉中是存在的。其中一种神经机制是短期适应,有人认为它在语音感知中起着重要作用。听觉诱发的神经适应主要归因于毛细胞到听觉神经突触中神经递质的消耗,因此在CI刺激中并不完全存在。本研究评估了一种信号处理方法,该方法将毛细胞适应的生理模型整合到CI语音处理中。线性高通适应过程扩展了临床处理策略产生的电信号快速变化的范围。将基于适应的处理方式的语音感知性能与7名CI使用者的临床策略的语音感知性能进行了比较。虽然个体间存在很大差异,但新的处理方式在所有测试对象中均提高了安静环境下的句子识别和辅音识别分数,平均分别提高了8%和6%。只有在较高的测试信噪比(10和6 dB)下,嘈杂环境中的辅音识别分数才有所提高。辅音特征的信息传递分析表明,发音方式和发音部位特征有显著改善,但发音浊音特征没有改善。通过在单个有源电极上呈现信号整体幅度包络的单通道策略获得的辅音识别结果证实了通道内包络线索的增强。受适应启发的包络增强技术有可能改善CI使用者对重要语音特征的感知。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验