Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science, Pilani Campus, Vidya Vihar, Pilani, Rajasthan 333031, India.
Department of Speech, Language and Hearing Sciences, and Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47907-2028, USA.
J Acoust Soc Am. 2021 Nov;150(5):3581. doi: 10.1121/10.0007046.
A difference in fundamental frequency (F0) between two vowels is an important segregation cue prior to identifying concurrent vowels. To understand the effects of this cue on identification due to age and hearing loss, Chintanpalli, Ahlstrom, and Dubno [(2016). J. Acoust. Soc. Am. 140, 4142-4153] collected concurrent vowel scores across F0 differences for younger adults with normal hearing (YNH), older adults with normal hearing (ONH), and older adults with hearing loss (OHI). The current modeling study predicts these concurrent vowel scores to understand age and hearing loss effects. The YNH model cascaded the temporal responses of an auditory-nerve model from Bruce, Efrani, and Zilany [(2018). Hear. Res. 360, 40-45] with a modified F0-guided segregation algorithm from Meddis and Hewitt [(1992). J. Acoust. Soc. Am. 91, 233-245] to predict concurrent vowel scores. The ONH model included endocochlear-potential loss, while the OHI model also included hair cell damage; however, both models incorporated cochlear synaptopathy, with a larger effect for OHI. Compared with the YNH model, concurrent vowel scores were reduced across F0 differences for ONH and OHI models, with the lowest scores for OHI. These patterns successfully captured the age and hearing loss effects in the concurrent-vowel data. The predictions suggest that the inability to utilize an F0-guided segregation cue, resulting from peripheral changes, may reduce scores for ONH and OHI listeners.
两个元音之间的基频(F0)差异是识别同时出现的元音之前的一个重要分离线索。为了了解由于年龄和听力损失导致该线索对识别的影响,Chintanpalli、Ahlstrom 和 Dubno [(2016)。J. Acoust. Soc. Am. 140, 4142-4153] 收集了具有正常听力的年轻成年人(YNH)、具有正常听力的老年成年人(ONH)和听力损失的老年成年人(OHI)的同时出现的元音的 F0 差异得分。目前的建模研究预测了这些同时出现的元音得分,以了解年龄和听力损失的影响。YNH 模型通过 Bruce、Efrani 和 Zilany [(2018)。Hear. Res. 360, 40-45] 的听觉神经模型的时间响应级联,以及 Meddis 和 Hewitt [(1992)。J. Acoust. Soc. Am. 91, 233-245] 的修改的 F0 引导的分离算法,来预测同时出现的元音得分。ONH 模型包括内淋巴液电位损失,而 OHI 模型还包括毛细胞损伤;然而,两个模型都包括耳蜗突触病,对 OHI 的影响更大。与 YNH 模型相比,ONH 和 OHI 模型的 F0 差异的同时出现的元音得分降低,而 OHI 的得分最低。这些模式成功地捕获了同时出现的元音数据中的年龄和听力损失的影响。预测表明,由于外围变化导致无法利用 F0 引导的分离线索,可能会降低 ONH 和 OHI 听众的得分。