ECHO Laboratory, Macquarie University, Sydney, New South Wales, Australia.
Department of Speech, Language & Hearing Sciences, Boston University, MA.
J Speech Lang Hear Res. 2024 Feb 12;67(2):680-687. doi: 10.1044/2023_JSLHR-23-00507. Epub 2024 Feb 7.
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).
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 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.
The adaptive version of the ECO-SiN test is feasible for research and clinical testing.
为了探究实验室/临床语音噪声测试表现与实际听力能力之间不匹配的潜在原因，我们最近开发了一个具有三种发声努力水平的自然、自发言语的语料库，即日常会话噪声下的句子（ECO-SiN）。在此，我们检验了使用 ECO-SiN 语料库进行自适应语音噪声测试的可行性，这种方法在某些情况下可能是理想的（例如，在临床就诊时）。
10 名年轻、听力正常的成年人和 20 名听力损失的老年人参与了研究。使用 ECO-SiN 句子获得语音接受阈（SRT），并与基于脚本和清晰发音句子的传统 Bamford-Kowal-Bench 式句子的 SRT 进行了系统比较。
结果表明，该测试的性能与基于脚本和清晰发音句子的标准测试相比具有优势。此外，听力正常的听众从发声努力的增加中受益，而听力损失的参与者则随着听力损失的增加而受到不利影响。
ECO-SiN 测试的自适应版本可用于研究和临床测试。
