Department of Otolaryngology - Head and Neck Surgery; The Ohio State University Wexner Medical Center, Columbus, Ohio.
Department of Speech and Hearing Science; The Ohio State University, Columbus, Ohio.
J Am Acad Audiol. 2021 Sep;32(8):528-536. doi: 10.1055/s-0041-1732438. Epub 2021 Dec 29.
Recent models theorize that neurocognitive resources are deployed differently during speech recognition depending on task demands, such as the severity of degradation of the signal or modality (auditory vs. audiovisual [AV]). This concept is particularly relevant to the adult cochlear implant (CI) population, considering the large amount of variability among CI users in their spectro-temporal processing abilities. However, disentangling the effects of individual differences in spectro-temporal processing and neurocognitive skills on speech recognition in clinical populations of adult CI users is challenging. Thus, this study investigated the relationship between neurocognitive functions and recognition of spectrally degraded speech in a group of young adult normal-hearing (NH) listeners.
The aim of this study was to manipulate the degree of spectral degradation and modality of speech presented to young adult NH listeners to determine whether deployment of neurocognitive skills would be affected.
Correlational study design.
Twenty-one NH college students.
Participants listened to sentences in three spectral-degradation conditions: no degradation (clear sentences); moderate degradation (8-channel noise-vocoded); and high degradation (4-channel noise-vocoded). Thirty sentences were presented in an auditory-only (A-only) modality and an AV fashion. Visual assessments from The National Institute of Health Toolbox Cognitive Battery were completed to evaluate working memory, inhibition-concentration, cognitive flexibility, and processing speed. Analyses of variance compared speech recognition performance among spectral degradation condition and modality. Bivariate correlation analyses were performed among speech recognition performance and the neurocognitive skills in the various test conditions.
Main effects on sentence recognition were found for degree of degradation ( = < 0.001) and modality ( = < 0.001). Inhibition-concentration skills moderately correlated ( = 0.45, = 0.02) with recognition scores for sentences that were moderately degraded in the A-only condition. No correlations were found among neurocognitive scores and AV speech recognition scores.
Inhibition-concentration skills are deployed differentially during sentence recognition, depending on the level of signal degradation. Additional studies will be required to study these relations in actual clinical populations such as adult CI users.
最近的模型理论认为,神经认知资源在语音识别过程中的分配方式取决于任务需求,例如信号或模态(听觉与视听 [AV])的退化程度。这一概念对于成年人工耳蜗植入(CI)患者群体特别重要,因为 CI 用户在其频谱时间处理能力方面存在很大差异。然而,在成年 CI 用户的临床群体中,要区分个体在频谱时间处理和神经认知技能方面的差异对语音识别的影响具有挑战性。因此,本研究调查了一群年轻成年正常听力(NH)听众的神经认知功能与频谱退化语音识别之间的关系。
本研究旨在通过操纵向年轻成年 NH 听众呈现的语音的频谱退化程度和模态,来确定神经认知技能的运用是否会受到影响。
相关研究设计。
21 名 NH 大学生。
参与者在三种频谱退化条件下收听句子:无退化(清晰句子);中度退化(8 通道噪声编码);高度退化(4 通道噪声编码)。以听觉方式(A-only)和视听方式呈现 30 个句子。完成来自美国国立卫生研究院工具包认知电池的视觉评估,以评估工作记忆、抑制-浓度、认知灵活性和处理速度。方差分析比较了不同频谱退化条件和模态下的语音识别性能。对各种测试条件下的语音识别性能和神经认知技能进行了双变量相关分析。
发现句子识别的主要效应与退化程度( = < 0.001)和模态( = < 0.001)有关。在 A-only 条件下,中度退化的句子的抑制-浓度技能与识别分数中度相关( = 0.45, = 0.02)。在视听语音识别分数中未发现神经认知分数之间的相关性。
在句子识别过程中,抑制-浓度技能的运用根据信号退化程度而有所不同。需要进行更多的研究来研究这些关系在成年 CI 用户等实际临床群体中的表现。