Adaptive ECO-SiN (Miles et al., 2024)

Purpose: To investigate potential reasons for the mismatch between laboratory/clinic-based sentence-in-noise performance and real-world listening abilities, we recently developed a corpus of natural, spontaneously spoken speech with three vocal effort levels (Everyday Conversational Sentences in Noise [ECO-SiN]). Here, we examined the feasibility of using the ECO-SiN corpus for adaptive speech-in-noise testing, which might be a desirable format in certain situations (e.g., during a clinical visit).Method: Ten young, normal-hearing adults, along with 20 older adults with hearing loss participated in the study. Speech reception thresholds (SRTs) were obtained using ECO-SiN sentences, which were systematically compared to the SRTs obtained using traditional Bamford-Kowal-Bench–like sentences.Results: Results demonstrated the properties of the test compared favorably with those of a standard test based on scripted and clearly spoken sentences. Moreover, whereas normal-hearing listeners received a benefit from an increase in vocal effort, the participants with hearing loss showed a disbenefit that increased with increasing hearing loss.Conclusion: The adaptive version of the ECO-SiN test is feasible for research and clinical testing.Supplemental Material S1. Summary of the linear mixed effects model contrasts of the SRT data.Miles, K., Best, V., & Buchholz, J. M. (2024). Feasibility of an adaptive version of the Everyday Conversational Sentences in Noise Test. Journal of Speech, Language, and Hearing Research, 67(2), 680–687. https://doi.org/10.1044/2023_JSLHR-23-00507

目的：为探究基于实验室/临床的噪声中句子识别性能与实际听力能力之间的差异可能的原因，我们近期开发了一个包含三种语音努力水平（日常噪声对话句子 [ECO-SiN]）的自然、自发语音语料库。在此，我们考察了使用ECO-SiN语料库进行自适应噪声中语音测试的可行性，这在某些情况下可能是一种理想的测试格式（例如，在临床访问期间）。方法：十名年轻正常听力成年人和二十名有听力损失的老年成年人参与了本研究。使用ECO-SiN句子获取了语音接收阈值（SRTs），这些句子与使用传统Bamford-Kowal-Bench-类句子获得的SRTs进行了系统比较。结果：结果显示，该测试的性质与基于脚本和清晰表达的句子标准测试的性质相比具有可比性。此外，尽管正常听力听者从语音努力的增加中获益，但听力损失参与者却显示出随着听力损失加剧而增加的不利影响。结论：ECO-SiN测试的自适应版本在研究和临床测试中是可行的。补充材料S1：SRT数据线性混合效应模型对比的摘要。Miles, K., Best, V., & Buchholz, J. M. (2024). 日常噪声对话句子测试自适应版本的可行性。言语、语言和听力研究杂志，67(2)，680–687. https://doi.org/10.1044/2023_JSLHR-23-00507