Binaural unmasking of tones and speech in bilateral cochlear implantees

双侧人工耳蜗植入者的双耳揭示音调和言语

• 批准号: 9177103
• 负责人: Matthew J. Goupell
• 金额: $ 37.33万
• 依托单位: UNIV OF MARYLAND, COLLEGE PARK
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-06-01 至 2021-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9177103
• 关键词: Acoustics; Affect; Algorithms; Back; Basic Science; Bilateral; Binaural; Bionics; Clinical; Cochlear Implants; Complex; Data; Detection; Devices; Ear; Electrodes; Environment; Equilibrium; Frequencies; Future; Goals; Guidelines; Hand; Health; Hearing; Implant; Intervention; Knowledge; Laboratories; Life; Maps; Masks; Measures; Mission; Modeling; Noise; Outcome; Performance; Procedures; Process; Public Health; Quality of life; Research; Role; Sensory; Signal Transduction; Sound Localization; Speech; Stimulus; Technology; Testing; Translational Research; Weight; Work; base; binaural hearing; disability; hearing impairment; implantable device; improved; innovation; laboratory experiment; neural model; prevent; relating to nervous system; sound; speech processing; stimulus processing; tool

ABSTRACT: Binaural hearing can provide greatly improved signal detection and speech understanding in back- ground noise. However, bilateral cochlear-implant (BICI) users demonstrate limited binaural unmasking (i.e., improved detection and understanding) of signals using speech processors. The gap in knowledge is that it is unclear why binaural unmasking nearly disappears when using speech processors. Until the binaural benefit gap is better understood and reduced, BICI users will have a relatively poor quality of life because of difficulty local- izing sounds and communicating in background noise. The long-term goal is to understand and maximize bin- aural benefits imparted by BICIs. The objective in this application is to understand the breakdown of binaural unmasking as the stimulus complexity increases and when signals are presented via speech processors. The central hypothesis is that BICI users' binaural unmasking is primarily stunted by the interaural decorrelation caused by stimulus-encoding-driven factors (modulations, current spread, and compression). Most studies have shown underwhelming binaural unmasking in BICI users, but few have considered the limiting role of interaural decorrelation. Our approach to investigate this problem is two-pronged: to better understand and increase un- masking in BICI listeners, and better understand and intentionally decrease unmasking in NH listeners (i.e., making them more like the BICI listeners). Then, we will compare perceptual performance to stimulus analyses of the physical waveforms, the stimuli processed by speech processing algorithms, and modeled neural repre- sentations of the electrical signals. With strong preliminary data in hand, the central hypothesis will be tested by pursuing four specific aims: (1) Measure the extent to which the internal representation of modulated single- electrode stimuli in BICI listeners is interaurally decorrelated; (2) Measure the extent to which current spread and compression limit binaural unmasking of tones in noise in multi-electrode stimulation; (3) Develop a model of across-frequency static and dynamic ILD processing; and (4) Measure the extent to which binaural unmasking of speech in noise is reduced by interaural decorrelation from modulations, current spread, and compression. The approach is innovative because it (1) investigates signal-based factors affecting binaural unmasking and other binaural benefits in BICIs and (2) investigates the role of ILDs to impart these benefits. The proposed research is significant because it helps us understand the barriers to larger binaural benefits in BICI users, which can inform changes to speech processing strategies and clinical device setting guidelines. Larger binaural un- masking and benefits will produce an important positive impact on CI users' quality of life because they will be better able to localize sounds and communicate in noisy environments.

摘要：双耳听力可以极大地改善背部的信号检测和语音理解。 地面噪音。然而，双侧人工耳蜗术(BICI)使用者表现出有限的双耳去掩蔽(即， 使用语音处理器改进信号的检测和理解)。知识上的差距是它是 不清楚为什么使用语音处理器时，双耳去屏蔽几乎消失了。直到双耳利益差距 如果更好地理解和减少，BICI用户将因为当地的困难而有相对较差的生活质量- 在背景噪音中调整声音并进行交流。长期目标是了解并最大限度地利用Bin- 国际独联体赋予的听觉方面的好处。本应用程序的目标是了解双耳的故障 随着刺激复杂性的增加以及当信号通过语音处理器呈现时，去掩蔽。这个 中心假说是，BICI使用者的双耳去掩蔽主要受到耳间去相关的阻碍 由刺激编码驱动因素(调制、电流扩散和压缩)引起。大多数研究都有 在BICI用户中显示出平淡无奇的双耳去掩蔽，但很少有人考虑到双耳间的限制作用 去关联。我们调查这个问题的方法是双管齐下的：更好地理解和增加联合国 在BICI监听者中进行掩蔽，并且更好地理解并且有意地减少在NH监听者中的去掩蔽(即， 使他们更像BICI的听众)。然后，我们将比较感知性能和刺激分析 在物理波形中，由语音处理算法处理的刺激和建模的神经表示 电信号的句子。有了强劲的初步数据，中心假设将得到以下检验 追求四个具体目标：(1)测量调制信号的内部表征在多大程度上- BICI听者的电极刺激是耳间去相关的；(2)测量电流扩散和 多电极刺激中噪声中的压缩极限双耳去掩蔽；(3)建立了多电极刺激的双耳去掩蔽模型 跨频静态和动态ILD处理；以及(4)测量双耳去掩蔽的程度 通过从调制、电流扩展和压缩中的耳间去相关来减少噪声中的语音。 这种方法是创新的，因为它(1)调查了影响双耳去掩蔽的基于信号的因素和 在国际独联体中的其他双耳惠益和(2)调查了国际语言学习系统在传授这些惠益方面的作用。建议数 研究意义重大，因为它帮助我们了解BICI用户获得更大双耳好处的障碍，这 可以通知语音处理策略和临床设备设置指南的更改。更大的双耳非- 掩饰和好处将对CI用户的生活质量产生重要的积极影响，因为他们将 能够更好地定位声音并在嘈杂环境中进行交流。