Instituto de Neurociencias de Castilla y León, Universidad de Salamanca, Calle Pintor Fernando Gallego 1, Salamanca 37007, Spain.; Instituto de Investigación Biomédica de Salamanca, Universidad de Salamanca Salamanca 37007 Spain.
Instituto de Neurociencias de Castilla y León, Universidad de Salamanca, Calle Pintor Fernando Gallego 1, Salamanca 37007, Spain.; Instituto de Investigación Biomédica de Salamanca, Universidad de Salamanca Salamanca 37007 Spain; Servicio de Otorrinolaringología, Hospital Universitario de Salamanca, Salamanca 37007 Spain.
Hear Res. 2021 Sep 15;409:108320. doi: 10.1016/j.heares.2021.108320. Epub 2021 Jul 24.
Cochlear implant (CI) users find it hard and effortful to understand speech in noise with current devices. Binaural CI sound processing inspired by the contralateral medial olivocochlear (MOC) reflex (an approach termed the 'MOC strategy') can improve speech-in-noise recognition for CI users. All reported evaluations of this strategy, however, disregarded automatic gain control (AGC) and fine-structure (FS) processing, two standard features in some current CI devices. To better assess the potential of implementing the MOC strategy in contemporary CIs, here, we compare intelligibility with and without MOC processing in combination with linked AGC and FS processing. Speech reception thresholds (SRTs) were compared for an FS and a MOC-FS strategy for sentences in steady and fluctuating noises, for various speech levels, in bilateral and unilateral listening modes, and for multiple spatial configurations of the speech and noise sources. Word recall scores and verbal response times in a word recognition test (two proxies for listening effort) were also compared for the two strategies in quiet and in steady noise at 5 dB signal-to-noise ratio (SNR) and the individual SRT. In steady noise, mean SRTs were always equal or better with the MOC-FS than with the standard FS strategy, both in bilateral (the mean and largest improvement across spatial configurations and speech levels were 0.8 and 2.2 dB, respectively) and unilateral listening (mean and largest improvement of 1.7 and 2.1 dB, respectively). In fluctuating noise and in bilateral listening, SRTs were equal for the two strategies. Word recall scores and verbal response times were not significantly affected by the test SNR or the processing strategy. Results show that MOC processing can be combined with linked AGC and FS processing. Compared to using FS processing alone, combined MOC-FS processing can improve speech intelligibility in noise without affecting word recall scores or verbal response times.
人工耳蜗(CI)使用者发现,目前的设备很难在噪声中理解言语。受对侧内侧橄榄耳蜗(MOC)反射启发的双耳 CI 声音处理(一种称为“MOC 策略”的方法)可以提高 CI 用户在噪声中的言语识别能力。然而,所有报告的该策略评估都忽略了自动增益控制(AGC)和精细结构(FS)处理,这是当前一些 CI 设备的两个标准功能。为了更好地评估在当代 CI 中实施 MOC 策略的潜力,在这里,我们比较了在结合链接 AGC 和 FS 处理的情况下,有无 MOC 处理的言语可懂度。在稳态和波动噪声中,对句子进行了 FS 和 MOC-FS 策略的语音接收阈值(SRT)比较,针对各种语音水平、双侧和单侧听力模式以及语音和噪声源的多个空间配置。在安静和稳态噪声(5 dB 信噪比(SNR)和个体 SRT)下,在两个策略中还比较了单词识别测试中的单词召回分数和口头响应时间(两个听力努力的替代指标)。在稳态噪声中,MOC-FS 策略的平均 SRT 始终优于标准 FS 策略,无论是在双侧(跨空间配置和语音水平的平均值和最大改善分别为 0.8 和 2.2 dB)还是单侧听力(平均值和最大改善分别为 1.7 和 2.1 dB)。在波动噪声和双侧听力中,两种策略的 SRT 相等。单词召回分数和口头响应时间不受测试 SNR 或处理策略的影响。结果表明,MOC 处理可以与链接 AGC 和 FS 处理相结合。与单独使用 FS 处理相比,结合 MOC-FS 处理可以在不影响单词召回分数或口头响应时间的情况下提高噪声中的言语可懂度。