1Department of Otolaryngology, University of Illinois at Chicago, College of Medicine, Chicago, Illinois, USA; and 2Department of Speech and Hearing Science, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA.
Ear Hear. 2017 Nov/Dec;38(6):760-766. doi: 10.1097/AUD.0000000000000496.
Although speech perception is the gold standard for measuring cochlear implant (CI) users' performance, speech perception tests often require extensive adaptation to obtain accurate results, particularly after large changes in maps. Spectral ripple tests, which measure spectral resolution, are an alternate measure that has been shown to correlate with speech perception. A modified spectral ripple test, the spectral-temporally modulated ripple test (SMRT) has recently been developed, and the objective of this study was to compare speech perception and performance on the SMRT for a heterogeneous population of unilateral CI users, bilateral CI users, and bimodal users.
Twenty-five CI users (eight using unilateral CIs, nine using bilateral CIs, and eight using a CI and a hearing aid) were tested on the Arizona Biomedical Institute Sentence Test (AzBio) with a +8 dB signal to noise ratio, and on the SMRT. All participants were tested with their clinical programs.
There was a significant correlation between SMRT and AzBio performance. After a practice block, an improvement of one ripple per octave for SMRT corresponded to an improvement of 12.1% for AzBio. Additionally, there was no significant difference in slope or intercept between any of the CI populations.
The results indicate that performance on the SMRT correlates with speech recognition in noise when measured across unilateral, bilateral, and bimodal CI populations. These results suggest that SMRT scores are strongly associated with speech recognition in noise ability in experienced CI users. Further studies should focus on increasing both the size and diversity of the tested participants, and on determining whether the SMRT technique can be used for early predictions of long-term speech scores, or for evaluating differences among different stimulation strategies or parameter settings.
尽管言语感知是衡量人工耳蜗(CI)使用者表现的金标准,但言语感知测试通常需要进行广泛的适应,才能获得准确的结果,尤其是在映射发生较大变化后。测量频谱分辨率的频谱波纹测试是一种替代测量方法,已被证明与言语感知相关。最近开发了一种改良的频谱波纹测试,即频谱时变波纹测试(SMRT),本研究的目的是比较单侧 CI 用户、双侧 CI 用户和双模式用户的言语感知和 SMRT 性能。
25 名 CI 用户(8 名使用单侧 CI,9 名使用双侧 CI,8 名使用 CI 和助听器)在亚利桑那生物医学研究所句子测试(AzBio)上进行测试,信号噪声比为+8dB,并进行 SMRT 测试。所有参与者均使用其临床方案进行测试。
SMRT 与 AzBio 性能之间存在显著相关性。经过练习阶段后,SMRT 每倍频程增加一个波纹对应于 AzBio 提高 12.1%。此外,任何 CI 群体之间的斜率或截距均无显著差异。
结果表明,在单侧、双侧和双模式 CI 群体中进行测量时,SMRT 的性能与噪声下的言语识别相关。这些结果表明,SMRT 分数与经验丰富的 CI 用户在噪声中识别言语的能力密切相关。进一步的研究应侧重于增加测试参与者的数量和多样性,并确定 SMRT 技术是否可用于预测长期言语分数,或用于评估不同刺激策略或参数设置之间的差异。